Bibliometric landscape of the researches on protein corona of nanoparticles

doi:10.1007/s11706-021-0571-7

Front. Mater. Sci.

2021, Vol. 15

Issue (4) : 477-493 https://doi.org/10.1007/s11706-021-0571-7

PERSPECTIVE

Bibliometric landscape of the researches on protein corona of nanoparticles

Zhengwei HUANG¹, Fangqin FU¹, Linjing WU¹, Wenhao WANG², Wenhua WANG², Chaonan SHI¹, Ying HUANG¹(

), Xin PAN²(

), Chuanbin WU¹

¹. College of Pharmacy, Jinan University, Guangzhou 510006, China
². School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China

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Abstract

Unclear biological fate hampers the clinical translation of nanoparticles for biomedical uses. In recent years, it is documented that the formation of protein corona upon nanoparticles is a critical factor leading to the ambiguous biological fate. Efforts have been made to explore the protein corona forming behaviors on nanoparticles, and rearrangement of the relevant studies will help to understand the current trend of such a topic. In this work, the publications about protein corona of nanoparticles in Science Citation Index Expanded database of Web of Science from 2007 to 2020 (1417 in total) were analyzed in detail, and the bibliometrics landscape of them was showcased. The basic bibliometrics characteristics were summarized to provide an overall understanding. Citation analysis was performed to scrutinize the peer interests of these papers. The research hotspots in the field were evaluated, based on which some feasible topics for future studies were proposed. In general, the results demonstrated that protein corona of nanoparticles was a prospective research area, and had attracted global research interests. It was believed that this work could comprehensively highlight the bibliometrics landscape, inspire further exploitation on protein corona of nanoparticles, and ultimately promote the clinical translation of nanoparticles.

Keywords protein corona nanoparticle bibliometrics Web of Science

Corresponding Author(s): Ying HUANG,Xin PAN

Online First Date: 18 November 2021 Issue Date: 28 December 2021

Cite this article:

Zhengwei HUANG,Fangqin FU,Linjing WU, et al. Bibliometric landscape of the researches on protein corona of nanoparticles[J]. Front. Mater. Sci., 2021, 15(4): 477-493.

URL:

https://academic.hep.com.cn/foms/EN/10.1007/s11706-021-0571-7
https://academic.hep.com.cn/foms/EN/Y2021/V15/I4/477

Fig.1 (a) Number of publication versus year. (b) Type of documents. (c) Main research fields (upper panel: ① chemistry; ② materials science; ③ science & technology: other topics; ④ physics; ⑤ biochemistry & molecular biology; ⑥ pharmacology & pharmacy; ⑦ toxicology; ⑧ biophysics; ⑨ engineering; ⑩ biotechnology & applied microbiology) and language (lower panel). (d) Funding sources (1: United States Department of Health Human Services; 2: National Institutes of Health (NIH); 3: European Commission; 4: National Natural Science Foundation of China (NSFC); 5: National Science Foundation; 6: German Research Foundation; 7: NIH National Institute of Environmental Health Sciences; 8: NIH National Cancer Institute; 9: National Basic Research Program of China; 10: Science Foundation Ireland).

Fig.2 (a) Number of publication from top-10 regions over time, stacked. (b) Number of publication from top-10 regions. (c) Cooperation links between regions.

Fig.3 (a) Number of publication in top-10 periodicals. (b) Time evolution of number of publication in top-10 periodicals, stacked.

Fig.4 (a) Number of publication in top-10 institutions. (b) Assignment of codes in (a). (c) Cooperation linkage of the top-1 institution.

Fig.5 (a) Time evolution of number of publication by top-10 authors, stacked. (b) Cooperation linkage of the top-1 author.

Fig.6 (a) Number of cited publication and times cited versus year. (b) Type of documents. (c) Main research fields (upper panel: ① chemistry; ② materials science; ③ science & technology: other topics; ④ physics; ⑤ pharmacology & pharmacy; ⑥ biochemistry & molecular biology; ⑦ engineering; ⑧ toxicology; ⑨ environmental sciences & ecology; ⑩ polymer science) and language (lower panel). (d) Funding sources (1: National Natural Science Foundation of China (NSFC); 2: United States Department of Health Human Services; 3: National Institutes of Health (NIH); 4: European Commission; 5: National Science Foundation; 6: German Research Foundation; 7: NIH National Cancer Institute; 8: National Basic Research Program of China; 9: Fundamental Research Funds for The Central Universities; 10: UK Research Innovation). (e) Number of publication from top-10 regions. (f) Number of publication in top-10 periodicals (1: Nanoscale; 2: ACS Nano; 3: ACS Applied Materials & Interfaces; 4: Langmuir; 5: RSC Advances; 6: International Journal of Nanomedicine; 7: Colloids and Surface B: Biointerfaces; 8: Scientific Reports; 9: Small; 10: Journal of Controlled Release). (g) Number of publication from top-10 institutions (1: Chinese Academy of Sciences; 2: Centre National De La Recherche Scientifique; 3: University of California System; 4: University of Chinese Academy of Sciences; 5: Harvard University; 6: Helmholtz Association; 7: Consejo Superior De Investigaciones Cientificas; 8: Consiglio Nazionale Delle Ricerche; 9: CNRS Institute of Chemistry Inc.; 10: Sichuan University).

No.	First author	Periodical	Title	Main contribution	Year	Ref.
1	T. Cedervall	Proceedings of the National Academy of Sciences of the United States of America	Understanding the nanoparticle-protein corona using methods to quantify exchange rates and affinities of proteins for nanoparticles	Developed quantitative approaches to study exchange rates and affinities	2007	[31]
2	M. Lundqvist	Proceedings of the National Academy of Sciences of the United States of America	Nanoparticle size and surface properties determine the protein corona with possible implications for biological impacts	Proved that size and surface properties affected protein corona formation of nanoparticles	2008	[49]
3	M. P. Monopoli	Nature Nanotechnology	Biomolecular coronas provide the biological identity of nanosized materials	Highlighted the connection between properties of the corona and biological impacts of nanomaterials	2012	[50]
4	S. Tenzer	Nature Nanotechnology	Rapid formation of plasma protein corona critically affects nanoparticle pathophysiology	Rapid corona formation was found to affect hemolysis, thrombocyte activation, nanoparticle uptake and endothelial cell death	2013	[51]
5	M. P. Monopoli	Journal of the American Chemical Society	Physical–chemical aspects of protein corona: Relevance to in vitro and in vivo biological impacts of nanoparticles	Demonstrated that hard corona evolved significantly from in vitro to in vivo conditions	2011	[52]
6	A. E. Nel	Nature Materials	Understanding biophysicochemical interactions at the nano-bio interface	Reviewed the impact of size, shape, surface chemistry, roughness and surface coatings on nano-bio interface interactions	2009	[53]
7	C. D. Walkey	Chemical Society Reviews	Understanding and controlling the interaction of nanomaterials with proteins in a physiological environment	Described the relationship between protein corona and synthetic identity and probed efforts to control protein–nanomaterial interactions	2012	[54]
8	A. Lesniak	ACS Nano	Effects of the presence or absence of a protein corona on silica nanoparticle uptake and impact on cells	Elaborated different biological outcomes were connected to the different adhesion and surface properties under corona presence or absence conditions	2012	[55]
9	A. Salvati	Nature Nanotechnology	Transferrin-functionalized nanoparticles lose their targeting capabilities when a biomolecule corona adsorbs on the surface	Suggested that the formation of protein corona could ‘screen’ the targeting molecules and cause loss of specificity in targeting	2013	[56]
10	D. Walczyk	Journal of the American Chemical Society	What the cell “sees” in bionanoscience	Elucidated that long-lived blood plasma-derived coronas were what the cell ‘saw’	2010	[57]

Tab.1 Top-10 most cited primary papers

Fig.7 (a) Time evolution of number of cited publications of primary papers. (b) The code 1–10 referred to the top-10 most cited primary papers listed in Table 1; bibliographic coupling visualization.

Fig.8 (a) Time evolution of number of top-10 keywords, unfiltered. (b) Time evolution of number of top-10 keywords, filtered. (c) Average time overlay visualization of keywords.

Fig.9 (a) Average time overlay visualization of terms. (b) Density visualization of terms.

Fig. S1 Word cloud of the distribution of periodicals (n = 1417).

Fig. S2 Word cloud of the distribution of institutions (n = 1417).

Fig. S3 Word cloud of the distribution of authors (n = 1417).

Fig. S4 Cross-citation analysis (n = 1417). The assignment of each code is as follows (‘V’ represents volume, ‘P’ represents page, ‘LCS’ represents local citation score, and ‘GCS’ represents global citation score): 7 — Cedervall T, 2007, P NATL ACAD SCI USA, V104, P2050 (LCS= 519, GCS= 1961); 10 — Lynch I, 2008, NANO TODAY, V3, P40 (LCS= 211, GCS= 1277); 12 — Lundqvist M, 2008, P NATL ACAD SCI USA, V105, P14265 (LCS= 517, GCS= 1932); 18 — Nel A E, 2009, NAT MATER, V8, P543 (LCS= 332, GCS= 4433); 29 — Walczyk D, 2010, J AM CHEM SOC, V132, P5761 (LCS= 248, GCS= 830); 32 — Casals E, 2010, ACS NANO, V4, P3623 (LCS= 242, GCS= 757); 47 — Monopoli M P, 2011, J AM CHEM SOC, V133, P2525 (LCS= 345, GCS= 1173); 106 — Lesniak A, 2012, ACS NANO, V6, P5845 (LCS= 274, GCS= 682); 136 — Monopoli M P, 2012, NAT NANOTECHNOL, V7, P779 (LCS= 397, GCS= 1511); 195 — Tenzer S, 2013, NAT NANOTECHNOL, V8, P772 (LCS= 389, GCS= 1182).

Fig. S5 Word cloud of the profile of keywords (n = 1417).

Fig. S6 Density visualization of high-frequency keywords (n = 1417).

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