Bin Zhang

49.2k total citations · 7 hit papers
307 papers, 15.2k citations indexed

About

Bin Zhang is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Bin Zhang has authored 307 papers receiving a total of 15.2k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Molecular Biology, 84 papers in Physiology and 48 papers in Immunology. Recurrent topics in Bin Zhang's work include Alzheimer's disease research and treatments (55 papers), Neuroinflammation and Neurodegeneration Mechanisms (37 papers) and Parkinson's Disease Mechanisms and Treatments (32 papers). Bin Zhang is often cited by papers focused on Alzheimer's disease research and treatments (55 papers), Neuroinflammation and Neurodegeneration Mechanisms (37 papers) and Parkinson's Disease Mechanisms and Treatments (32 papers). Bin Zhang collaborates with scholars based in United States, China and Canada. Bin Zhang's co-authors include Virginia M.‐Y. Lee, John Q. Trojanowski, Kelvin C. Luk, Victoria Kehm, Patrick O’Brien, Minghui Wang, Jenna C. Carroll, Benoit I. Giasson, John E. Duda and Eric E. Schadt and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Bin Zhang

289 papers receiving 15.0k citations

Hit Papers

Pathological α-Synuclein Transmission Initiates Pa... 2002 2026 2010 2018 2012 2002 2012 2020 2020 500 1000 1.5k

Peers

Bin Zhang
Bin Liu United States
Robert M. Friedlander United States
Seth Love United Kingdom
Charles L. White United States
Rivka Ravid Netherlands
Howard J. Federoff United States
Bin Liu United States
Bin Zhang
Citations per year, relative to Bin Zhang Bin Zhang (= 1×) peers Bin Liu

Countries citing papers authored by Bin Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Zhang. A scholar is included among the top collaborators of Bin Zhang 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 Bin Zhang. Bin Zhang 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.
Zhang, Bin, et al.. (2025). Gegen Qinlian Decoction improves Alzheimer’s disease through TLR4/NF-κB/NLRP3 pathway. Tissue and Cell. 95. 102818–102818.
2.
Brynildsen, Julia K., Cheryl E. G. Leyns, Lakshmi Changolkar, et al.. (2024). LRRK2 kinase inhibition reverses G2019S mutation-dependent effects on tau pathology progression. Translational Neurodegeneration. 13(1). 13–13. 7 indexed citations
3.
Liu, Ruiqi, et al.. (2024). Ginsenoside Rg1 Induces Autophagy in Colorectal Cancer through Inhibition of the Akt/mTOR/p70S6K Pathway. Journal of Microbiology and Biotechnology. 34(4). 774–782. 4 indexed citations
4.
Zhang, Yuan, et al.. (2023). LMAN1 is a receptor for house dust mite allergens. Cell Reports. 42(3). 112208–112208. 4 indexed citations
5.
Wang, Erming, Minghui Wang, Lei Guo, et al.. (2023). Genome‐wide methylomic regulation of multiscale gene networks in Alzheimer's disease. Alzheimer s & Dementia. 19(8). 3472–3495. 16 indexed citations
6.
Xu, Jin, Xianxiao Zhou, Ting Zhang, Bin Zhang, & Pin‐Xian Xu. (2023). Smarca4 deficiency induces Pttg1 oncogene upregulation and hyperproliferation of tubular and interstitial cells during kidney development. Frontiers in Cell and Developmental Biology. 11. 1233317–1233317.
7.
Neff, Ryan, Yifei Sun, Igor Katsyv, et al.. (2023). Dysfunction of ubiquitin protein ligase MYCBP2 leads to cell resilience in human breast cancers. NAR Cancer. 5(3). zcad036–zcad036.
8.
Wu, Jason, Fanyan Meng, Lun Dong, et al.. (2022). DDR2 Coordinates EMT and Metabolic Reprogramming as a Shared Effector of FOXQ1 and SNAI1. Cancer Research Communications. 2(11). 1388–1403. 7 indexed citations
9.
Wang, Chang, Lauren Lashua, Chalise E. Carter, et al.. (2022). Sex disparities in influenza: A multiscale network analysis. iScience. 25(5). 104192–104192. 14 indexed citations
10.
Porta, Sílvia, Yan Xu, Bin Zhang, et al.. (2021). Distinct brain‐derived TDP‐43 strains from FTLD‐TDP subtypes induce diverse morphological TDP‐43 aggregates and spreading patterns in vitro and in vivo. Neuropathology and Applied Neurobiology. 47(7). 1033–1049. 33 indexed citations
11.
Zhou, Xianxiao, Mei Chen, Weiming Xia, et al.. (2021). Lifelong chronic psychosocial stress induces a proteomic signature of Alzheimer's disease in wildtype mice. European Journal of Neuroscience. 55(9-10). 2971–2985. 10 indexed citations
12.
Horiuchi, Shu, Wen‐Chun Liu, Nathalie Schmitt, et al.. (2021). Tox2 is required for the maintenance of GC T FH cells and the generation of memory T FH cells. Science Advances. 7(41). 21 indexed citations
13.
Zeng, Lu, Jialiang Yang, Shouneng Peng, et al.. (2020). Transcriptome analysis reveals the difference between “healthy” and “common” aging and their connection with age‐related diseases. Aging Cell. 19(3). e13121–e13121. 19 indexed citations
14.
Wang, Changjiang, Christian V. Forst, Tsui-Wen Chou, et al.. (2020). Cell-to-Cell Variation in Defective Virus Expression and Effects on Host Responses during Influenza Virus Infection. mBio. 11(1). 38 indexed citations
15.
Heindel, Daniel W., Yue Zhang, Brian Kasper, et al.. (2020). Glycomic analysis of host response reveals high mannose as a key mediator of influenza severity. Proceedings of the National Academy of Sciences. 117(43). 26926–26935. 39 indexed citations
16.
Khoriaty, Rami, Geoffrey G. Hesketh, Amélie Bernard, et al.. (2018). Functions of the COPII gene paralogs SEC23A and SEC23B are interchangeable in vivo. Proceedings of the National Academy of Sciences. 115(33). E7748–E7757. 58 indexed citations
17.
Forst, Christian V., Bin Zhou, Minghui Wang, et al.. (2017). Integrative gene network analysis identifies key signatures, intrinsic networks and host factors for influenza virus A infections. npj Systems Biology and Applications. 3(1). 35–35. 12 indexed citations
18.
Zhao, Yongzhong, Christian V. Forst, Camil E. Sayegh, et al.. (2016). Molecular and genetic inflammation networks in major human diseases. Molecular BioSystems. 12(8). 2318–2341. 49 indexed citations
19.
Meng, Fanyan, Cecilia L. Speyer, Bin Zhang, et al.. (2014). PDGFRα and β Play Critical Roles in Mediating Foxq1-Driven Breast Cancer Stemness and Chemoresistance. Cancer Research. 75(3). 584–593. 62 indexed citations
20.
Luk, Kelvin C., Victoria Kehm, Jenna C. Carroll, et al.. (2012). Pathological α-Synuclein Transmission Initiates Parkinson-like Neurodegeneration in Nontransgenic Mice. Science. 338(6109). 949–953. 1855 indexed citations breakdown →

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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