Han Chen

4.1k total citations
63 papers, 2.1k citations indexed

About

Han Chen is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Han Chen has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Epidemiology and 13 papers in Immunology. Recurrent topics in Han Chen's work include Single-cell and spatial transcriptomics (5 papers), Influenza Virus Research Studies (4 papers) and Ubiquitin and proteasome pathways (4 papers). Han Chen is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Influenza Virus Research Studies (4 papers) and Ubiquitin and proteasome pathways (4 papers). Han Chen collaborates with scholars based in United States, China and Switzerland. Han Chen's co-authors include Karl Deisseroth, Yuqing Gong, Leslie Meltzer, Madhuri Roy, Raag D. Airan, Cao Huang, Hongxia Zhou, Hong‐Gang Wang, Megan M. Young and Haiyan He and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Han Chen

63 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Chen United States 20 787 485 399 277 241 63 2.1k
Yanqin Yang United States 34 2.0k 2.5× 355 0.7× 188 0.5× 635 2.3× 256 1.1× 71 3.5k
Carlos Gilberto Carlotti Brazil 34 1.5k 2.0× 330 0.7× 489 1.2× 284 1.0× 833 3.5× 184 3.9k
Rico Laage Germany 23 1.0k 1.3× 366 0.8× 362 0.9× 236 0.9× 395 1.6× 34 2.3k
Shalina S. Ousman Canada 21 1.0k 1.3× 166 0.3× 248 0.6× 748 2.7× 408 1.7× 40 2.8k
Michael Bonin Germany 34 2.3k 2.9× 392 0.8× 677 1.7× 377 1.4× 828 3.4× 110 4.2k
Manabu Wada Japan 29 1.2k 1.6× 341 0.7× 756 1.9× 182 0.7× 714 3.0× 101 3.1k
Atsushi Watanabe Japan 29 1.1k 1.4× 260 0.5× 221 0.6× 186 0.7× 186 0.8× 137 3.0k
Alexander G. Bassuk United States 37 2.4k 3.0× 189 0.4× 313 0.8× 505 1.8× 390 1.6× 153 4.4k
Susanne Krasemann Germany 25 1.3k 1.7× 180 0.4× 252 0.6× 339 1.2× 184 0.8× 68 2.6k

Countries citing papers authored by Han Chen

Since Specialization
Citations

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

Fields of papers citing papers by Han Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Han Chen. A scholar is included among the top collaborators of Han 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 Han Chen. Han 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
1.
Chen, Han, Ying-Yi Li, Kouki Nio, & Hong Tang. (2024). Unveiling the Impact of BMP9 in Liver Diseases: Insights into Pathogenesis and Therapeutic Potential. Biomolecules. 14(8). 1013–1013. 5 indexed citations
2.
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Zhou, Fan, et al.. (2024). Preimplantation genetic testing in couples with balanced chromosome rearrangement: a four-year period real world retrospective cohort study. BMC Pregnancy and Childbirth. 24(1). 86–86. 5 indexed citations
4.
Shaban, Muhammad, Yunhao Bai, Jason Yeung, et al.. (2024). MAPS: pathologist-level cell type annotation from tissue images through machine learning. Nature Communications. 15(1). 28–28. 16 indexed citations
5.
Videlock, Elizabeth J., Asa Hatami, Chunni Zhu, et al.. (2023). Distinct Patterns of Gene Expression Changes in the Colon and Striatum of Young Mice Overexpressing Alpha-Synuclein Support Parkinson’s Disease as a Multi-System Process. Journal of Parkinson s Disease. 13(7). 1127–1147. 3 indexed citations
6.
Li, Chaofu, Yongchao Zhao, Fuhai Li, et al.. (2023). Semaphorin3A Exacerbates Cardiac Microvascular Rarefaction in Pressure Overload‐Induced Heart Disease. Advanced Science. 10(21). e2206801–e2206801. 6 indexed citations
7.
Gong, Bo, Qian Zhang, Huan Li, et al.. (2023). Epigenetic and transcriptional activation of the secretory kinase FAM20C as an oncogene in glioma. Journal of genetics and genomics. 50(6). 422–433. 6 indexed citations
8.
Martínez-Colón, Giovanny J., Kalani Ratnasiri, Richard Chen, et al.. (2022). SARS-CoV-2 infection drives an inflammatory response in human adipose tissue through infection of adipocytes and macrophages. Science Translational Medicine. 14(674). eabm9151–eabm9151. 65 indexed citations
9.
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McIlwain, David R., Han Chen, Sizun Jiang, et al.. (2021). Human influenza virus challenge identifies cellular correlates of protection for oral vaccination. Cell Host & Microbe. 29(12). 1828–1837.e5. 23 indexed citations
11.
Chen, Han, Christian M. Schürch, Kenneth Kim, et al.. (2020). Functional comparison of PBMCs isolated by Cell Preparation Tubes (CPT) vs. Lymphoprep Tubes. BMC Immunology. 21(1). 15–15. 25 indexed citations
12.
H, Su, et al.. (2018). Marker of proliferation Ki-67 expression is associated with transforming growth factor beta 1 and can predict the prognosis of patients with hepatic B virus-related hepatocellular carcinoma. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Guo, Dan, et al.. (2018). Phenotypic and molecular characteristics of methicillin-resistant and methicillin-susceptible Staphylococcus aureus isolated from pigs: implication for livestock-association markers and vaccine strategies. SHILAP Revista de lepidopterología. 1 indexed citations
14.
15.
Li, Lang, et al.. (2014). The Involvement of Phosphatase and Tensin Homolog Deleted on Chromosome Ten (PTEN) in the Regulation of Inflammation Following Coronary Microembolization. Cellular Physiology and Biochemistry. 33(6). 1963–1974. 15 indexed citations
16.
Sanford, Bridget, Yan Li, Christian J. Madson, et al.. (2014). Deletions in the fifth alpha helix of HIV-1 matrix block virus release. Virology. 468-470. 293–302. 5 indexed citations
17.
Wang, Qi, Yi Xu, Wei Zhou, et al.. (2014). The Viral Oncoprotein HBx of Hepatitis B virus Promotes the Growth of Hepatocellular Carcinoma through Cooperating with the Cellular Oncoprotein RMP. International Journal of Biological Sciences. 10(10). 1181–1192. 19 indexed citations
18.
Chen, Ching‐Yi, Hsiu‐Ching Hsu, An‐Sheng Lee, et al.. (2012). The Most Negatively Charged Low-Density Lipoprotein L5 Induces Stress Pathways in Vascular Endothelial Cells. Journal of Vascular Research. 49(4). 329–341. 20 indexed citations
19.
Huang, Cao, Hongxia Zhou, Jianbin Tong, et al.. (2011). FUS Transgenic Rats Develop the Phenotypes of Amyotrophic Lateral Sclerosis and Frontotemporal Lobar Degeneration. PLoS Genetics. 7(3). e1002011–e1002011. 159 indexed citations
20.
Airan, Raag D., Leslie Meltzer, Madhuri Roy, et al.. (2007). High-Speed Imaging Reveals Neurophysiological Links to Behavior in an Animal Model of Depression. Science. 317(5839). 819–823. 311 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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