Bing Sun

13.5k total citations
240 papers, 9.6k citations indexed

About

Bing Sun is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Bing Sun has authored 240 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Immunology, 71 papers in Molecular Biology and 55 papers in Epidemiology. Recurrent topics in Bing Sun's work include interferon and immune responses (36 papers), Immune Cell Function and Interaction (32 papers) and Influenza Virus Research Studies (26 papers). Bing Sun is often cited by papers focused on interferon and immune responses (36 papers), Immune Cell Function and Interaction (32 papers) and Influenza Virus Research Studies (26 papers). Bing Sun collaborates with scholars based in China, United States and Germany. Bing Sun's co-authors include Lynn Pulliam, Hans Rempel, Yaguang Zhang, Kai Wang, Wangpeng Gu, Yuan Zhang, Ke Xu, Wolfgang Schwarz, Shiqi Xie and Wenjing Yu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Bing Sun

231 papers receiving 9.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bing Sun 3.7k 3.2k 2.0k 1.7k 689 240 9.6k
Yi‐Ling Lin 3.7k 1.0× 2.5k 0.8× 3.5k 1.7× 1.6k 0.9× 645 0.9× 256 11.7k
Jianguo Wu 4.4k 1.2× 2.0k 0.6× 3.4k 1.7× 1.9k 1.1× 924 1.3× 273 10.7k
Ying Zhang 2.9k 0.8× 2.0k 0.6× 1.9k 0.9× 2.0k 1.2× 671 1.0× 523 9.3k
Jindřich Činátl 4.9k 1.3× 2.1k 0.6× 3.2k 1.6× 2.9k 1.7× 782 1.1× 352 13.4k
Chuan Qin 4.5k 1.2× 1.7k 0.5× 5.6k 2.8× 2.0k 1.2× 866 1.3× 369 13.8k
Patrı́cia T. Bozza 5.0k 1.3× 4.3k 1.4× 2.9k 1.4× 3.2k 1.9× 946 1.4× 325 15.8k
Lu Lu 3.1k 0.8× 1.9k 0.6× 6.6k 3.3× 1.6k 1.0× 498 0.7× 305 11.8k
John D. MacMicking 3.9k 1.1× 5.2k 1.6× 1.9k 1.0× 3.0k 1.8× 541 0.8× 51 12.9k
Yuzhang Wu 3.2k 0.9× 3.5k 1.1× 2.2k 1.1× 1.6k 0.9× 785 1.1× 329 9.9k

Countries citing papers authored by Bing Sun

Since Specialization
Citations

This map shows the geographic impact of Bing Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Sun more than expected).

Fields of papers citing papers by Bing Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing Sun. 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 Sun. The network helps show where Bing Sun may publish in the future.

Co-authorship network of co-authors of Bing Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Sun. A scholar is included among the top collaborators of Bing Sun 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 Sun. Bing Sun 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
1.
Sun, Bing, Chunxiang Li, Jiajia Dong, et al.. (2025). Bioarchaeological perspectives on the ancient Han-Xiongnu war: Insights from the Iron Age site of Bayanbulag. Journal of Archaeological Science. 177. 106184–106184.
2.
Zhao, Huakan, Xi Liu, Lei Wu, et al.. (2025). Single-Cell Analysis of Posttranslational Modifications Identifies Immunosuppressive Macrophage Subtypes in the HBV-Positive Hepatocellular Carcinoma Microenvironment. Cancer Immunology Research. 13(8). 1303–1317. 1 indexed citations
3.
Huang, Xinyi, et al.. (2025). Measurement and evaluation of ecological niche in open innovation ecosystem based on large models. Technology in Society. 82. 102901–102901.
4.
Mao, Chao, et al.. (2024). Genealogy of construction robotics. Automation in Construction. 166. 105607–105607. 2 indexed citations
5.
Liu, Lian, Danyan Zhang, Rong Fan, et al.. (2024). Serum ECM1 is a promising biomarker for staging and monitoring fibrosis in patients with chronic hepatitis B. Science China Life Sciences. 68(2). 431–440.
6.
Wang, Liqing, et al.. (2024). The Impact of Air Pollution on Acute Angle-Closure Glaucoma in Hefei, China, 2017–2022. Journal of Occupational and Environmental Medicine. 67(3). 153–160.
7.
Zhang, Guoqing, Ruifang Cao, Guangyi Dai, et al.. (2023). A Noncoding A-to-U Kozak Site Change Related to the High Transmissibility of Alpha, Delta, and Omicron VOCs. Molecular Biology and Evolution. 40(6). 4 indexed citations
8.
Qin, Chao, et al.. (2023). A tri-level optimal defense method against coordinated cyber-physical attacks considering full substation topology. Applied Energy. 339. 120961–120961. 15 indexed citations
9.
Huang, Yuying, Long Xu, Liyan Ma, et al.. (2023). Group 2 innate lymphoid cells boost CD8 + T-cell activation in anti-tumor immune responses. OncoImmunology. 12(1). 2243112–2243112. 6 indexed citations
10.
Zhang, Chi, Weiyun Li, Xiaobo Lei, et al.. (2021). Targeting lysophospholipid acid receptor 1 and ROCK kinases promotes antiviral innate immunity. Science Advances. 7(38). eabb5933–eabb5933. 19 indexed citations
11.
Sun, Bing, et al.. (2020). Hepatitis C Virus Cure in Human Immunodeficiency Virus Coinfection Dampens Inflammation and Improves Cognition Through Multiple Mechanisms. The Journal of Infectious Diseases. 222(3). 396–406. 12 indexed citations
12.
Yang, Sujuan, Ximei Zhang, Jingrong Chen, et al.. (2020). Induced, but not natural, regulatory T cells retain phenotype and function following exposure to inflamed synovial fibroblasts. Science Advances. 6(44). 33 indexed citations
13.
Pulliam, Lynn, et al.. (2020). Using neuronal extracellular vesicles and machine learning to predict cognitive deficits in HIV. Journal of NeuroVirology. 26(6). 880–887. 19 indexed citations
14.
Pulliam, Lynn, Bing Sun, Maja Mustapić, Sahil Chawla, & Dimitrios Kapogiannis. (2019). Plasma neuronal exosomes serve as biomarkers of cognitive impairment in HIV infection and Alzheimer’s disease. Journal of NeuroVirology. 25(5). 702–709. 180 indexed citations
15.
Chi, Xiumei, Ruihong Wu, Hongqin Xu, et al.. (2016). Sustained viral response and treatment‐induced cytopenia correlate with SLC s and KLF12 genotypes in interferon/ribavirin‐treated Chinese chronic hepatitis C patients. Journal of Gastroenterology and Hepatology. 31(8). 1489–1497. 3 indexed citations
16.
Su, Pan, Sheng Chen, Haiyan Zhou, et al.. (2016). Novel Function of Extracellular Matrix Protein 1 in Suppressing Th17 Cell Development in Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 197(4). 1054–1064. 22 indexed citations
17.
Chen, Shuzhen & Bing Sun. (2013). Negative regulation of NLRP3 inflammasome signaling. Protein & Cell. 4(4). 251–258. 72 indexed citations
18.
O’Donovan, Aoife, Bing Sun, Steve W. Cole, et al.. (2011). Transcriptional Control of Monocyte Gene Expression in Post-Traumatic Stress Disorder. SHILAP Revista de lepidopterología. 94 indexed citations
19.
Sun, Bing, et al.. (2001). High IFN-α expression is associated with the induction of experimental autoimmune uveitis (EAU) in Fischer 344 rat. Cell Research. 11(4). 293–300. 5 indexed citations
20.
Sun, Bing, et al.. (1994). STUDY ON THE SPATIAL PATTERN OF BETULA PLATYPHYLLA POPULATION. Zhiwu yanjiu. 14(2). 201–207. 4 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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