Bing Chen

19.7k total citations · 7 hit papers
128 papers, 11.2k citations indexed

About

Bing Chen is a scholar working on Infectious Diseases, Virology and Molecular Biology. According to data from OpenAlex, Bing Chen has authored 128 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Infectious Diseases, 36 papers in Virology and 33 papers in Molecular Biology. Recurrent topics in Bing Chen's work include HIV Research and Treatment (36 papers), SARS-CoV-2 and COVID-19 Research (22 papers) and Tuberculosis Research and Epidemiology (21 papers). Bing Chen is often cited by papers focused on HIV Research and Treatment (36 papers), SARS-CoV-2 and COVID-19 Research (22 papers) and Tuberculosis Research and Epidemiology (21 papers). Bing Chen collaborates with scholars based in United States, China and Poland. Bing Chen's co-authors include Michael Farzan, Hyeryun Choe, Cody B. Jackson, William R. Jacobs, Sophia Rits‐Volloch, Hanqin Peng, Yongfei Cai, Tianshu Xiao, Jun Zhang and Stephen C. Harrison and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Bing Chen

121 papers receiving 11.0k citations

Hit Papers

Mechanisms of ... 1999 2026 2008 2017 2021 2020 1999 2003 2021 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bing Chen United States 48 7.1k 3.8k 2.8k 2.5k 2.2k 128 11.2k
Hans Wolf Germany 58 3.3k 0.5× 2.2k 0.6× 2.8k 1.0× 2.1k 0.9× 2.1k 1.0× 442 13.4k
Wenhui Li China 56 10.4k 1.5× 4.2k 1.1× 5.0k 1.8× 2.1k 0.8× 514 0.2× 243 18.8k
Shigeru Morikawa Japan 53 4.7k 0.7× 1.9k 0.5× 2.3k 0.8× 1.8k 0.7× 1.6k 0.7× 361 9.8k
Yuxian He China 50 9.0k 1.3× 2.4k 0.6× 1.6k 0.6× 2.2k 0.9× 3.0k 1.4× 153 11.9k
Laurent Rénia Singapore 70 5.2k 0.7× 3.1k 0.8× 2.0k 0.7× 5.4k 2.2× 1.1k 0.5× 316 17.9k
Sina Bavari United States 61 7.6k 1.1× 3.8k 1.0× 3.2k 1.1× 2.3k 0.9× 823 0.4× 292 13.6k
Wei Zhang China 47 3.5k 0.5× 3.3k 0.9× 1.8k 0.6× 1.3k 0.5× 1.0k 0.5× 309 10.2k
Yan Liu China 48 3.1k 0.4× 5.2k 1.4× 1.5k 0.5× 1.6k 0.6× 482 0.2× 355 11.3k
Maria Rosaria Capobianchi Italy 49 4.6k 0.7× 1.4k 0.4× 2.8k 1.0× 1.9k 0.8× 1.6k 0.7× 396 9.5k
Takaji Wakita Japan 78 4.7k 0.7× 5.4k 1.4× 13.6k 4.8× 2.7k 1.1× 1.7k 0.8× 462 24.4k

Countries citing papers authored by Bing Chen

Since Specialization
Citations

This map shows the geographic impact of Bing Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Chen more than expected).

Fields of papers citing papers by Bing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bing Chen. The network helps show where Bing Chen may publish in the future.

Co-authorship network of co-authors of Bing Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Chen. A scholar is included among the top collaborators of Bing Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bing Chen. Bing Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Chen, Xi, Zhengchao Chen, Xin Zhang, et al.. (2025). Estimation Model for Cotton Canopy Structure Parameters Based on Spectral Vegetation Index. Life. 15(1). 62–62. 2 indexed citations
3.
Shi, Wei, Hanqin Peng, Sophia Rits‐Volloch, et al.. (2025). Effect of the S2’ site cleavage on SARS-CoV-2 spike. Nature Communications. 16(1). 11675–11675.
4.
Shi, Wei, Yongfei Cai, Haisun Zhu, et al.. (2023). Cryo-EM structure of SARS-CoV-2 postfusion spike in membrane. Nature. 619(7969). 403–409. 55 indexed citations
5.
Wang, Lin, Amol C. Shetty, Megan R. Edwards, et al.. (2022). Multiple genetic paths including massive gene amplification allow Mycobacterium tuberculosis to overcome loss of ESX-3 secretion system substrates. Proceedings of the National Academy of Sciences. 119(8). 17 indexed citations
6.
Torchia, James A., Alexander H. Tavares, Da‐Yuan Chen, et al.. (2022). Optimized ACE2 decoys neutralize antibody-resistant SARS-CoV-2 variants through functional receptor mimicry and treat infection in vivo. Science Advances. 8(49). eabq6527–eabq6527. 14 indexed citations
7.
Chen, Yuezhou, Pei Tong, Ali Sanjari Moghaddam, et al.. (2022). Immune recall improves antibody durability and breadth to SARS-CoV-2 variants. Science Immunology. 7(78). eabp8328–eabp8328. 34 indexed citations
8.
Bartsch, Yannic C., Xin Tong, Jaewon Kang, et al.. (2022). Omicron variant Spike-specific antibody binding and Fc activity are preserved in recipients of mRNA or inactivated COVID-19 vaccines. Science Translational Medicine. 14(642). eabn9243–eabn9243. 67 indexed citations
9.
Zhang, Jun, Yongfei Cai, Tianshu Xiao, et al.. (2021). Structural impact on SARS-CoV-2 spike protein by D614G substitution. Science. 372(6541). 525–530. 270 indexed citations breakdown →
10.
Cai, Yongfei, Jun Zhang, Tianshu Xiao, et al.. (2020). Distinct conformational states of SARS-CoV-2 spike protein. Science. 369(6511). 1586–1592. 765 indexed citations breakdown →
11.
Norman, Maia, Tal Gilboa, Alana F. Ogata, et al.. (2020). Ultrasensitive high-resolution profiling of early seroconversion in patients with COVID-19. Nature Biomedical Engineering. 4(12). 1180–1187. 94 indexed citations
12.
Chen, Wen, Yongfei Cai, Qingshan Fu, et al.. (2019). Unidirectional Presentation of Membrane Proteins in Nanoparticle‐Supported Liposomes. Angewandte Chemie International Edition. 58(29). 9866–9870. 14 indexed citations
13.
Chen, Bing, et al.. (2019). An 85-Gene Coexpression Module for Progression of Hypertension-Induced Spontaneous Intracerebral Hemorrhage. DNA and Cell Biology. 38(5). 449–456. 2 indexed citations
14.
Chen, Wen, Yongfei Cai, Qingshan Fu, et al.. (2019). Unidirectional Presentation of Membrane Proteins in Nanoparticle‐Supported Liposomes. Angewandte Chemie. 131(29). 9971–9975. 1 indexed citations
15.
Keele, Brandon F., Wenjun Li, Erica N. Borducchi, et al.. (2017). Adenovirus prime, Env protein boost vaccine protects against neutralization-resistant SIVsmE660 variants in rhesus monkeys. Nature Communications. 8(1). 15740–15740. 6 indexed citations
16.
Nkolola, Joseph P., Ann Cheung, James Perry, et al.. (2014). Comparison of multiple adjuvants on the stability and immunogenicity of a clade C HIV-1 gp140 trimer. Vaccine. 32(18). 2109–2116. 21 indexed citations
17.
Chen, Jia, Gary Frey, Hanqin Peng, et al.. (2013). Mechanism of HIV-1 Neutralization by Antibodies Targeting a Membrane-Proximal Region of gp41. Journal of Virology. 88(2). 1249–1258. 81 indexed citations
18.
Sui, Lina, Josué Kunjom Mfopou, Bing Chen, Karen Sermon, & Luc Bouwens. (2012). Transplantation of Human Embryonic Stem Cell-Derived Pancreatic Endoderm Reveals a Site-Specific Survival, Growth, and Differentiation. Cell Transplantation. 22(5). 821–830. 23 indexed citations
19.
Zhang, Zhixiong, Tingfei Xi, Yingjun Wang, et al.. (2008). In Vitro Study of Endothelial Cells Lining Vascular Grafts Grown within the Recipient's Peritoneal Cavity. Tissue Engineering Part A. 14(6). 1109–1120. 11 indexed citations
20.
Chen, Bing, Jessica L. Miller, Serdar A. Gurses, et al.. (2007). Mycobacterium tuberculosis nuoG Is a Virulence Gene That Inhibits Apoptosis of Infected Host Cells. PLoS Pathogens. 3(7). e110–e110. 256 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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