You‐Wen He

18.8k total citations
91 papers, 4.8k citations indexed

About

You‐Wen He is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, You‐Wen He has authored 91 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Immunology, 32 papers in Molecular Biology and 32 papers in Epidemiology. Recurrent topics in You‐Wen He's work include Autophagy in Disease and Therapy (23 papers), Immune Cell Function and Interaction (20 papers) and Cell death mechanisms and regulation (16 papers). You‐Wen He is often cited by papers focused on Autophagy in Disease and Therapy (23 papers), Immune Cell Function and Interaction (20 papers) and Cell death mechanisms and regulation (16 papers). You‐Wen He collaborates with scholars based in United States, China and Japan. You‐Wen He's co-authors include Wei Jia, Heather H. Pua, Claire L. Gordy, Jian Guo, Nu Zhang, Masaaki Komatsu, Ligong Lu, Danielle J. Dauphars, Hui Zhang and Qi-Jing Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

You‐Wen He

88 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
You‐Wen He United States 39 2.1k 2.1k 1.8k 614 557 91 4.8k
Thomas A. Ferguson United States 43 3.9k 1.9× 3.3k 1.6× 1.5k 0.8× 606 1.0× 624 1.1× 84 8.4k
Valeria Facchinetti United States 25 4.2k 2.0× 3.7k 1.8× 1.3k 0.7× 759 1.2× 437 0.8× 31 8.3k
Merone Roose‐Girma United States 30 2.6k 1.3× 4.7k 2.3× 862 0.5× 660 1.1× 452 0.8× 42 6.4k
Bettina Kempkes Germany 34 1.5k 0.7× 2.7k 1.3× 2.8k 1.6× 2.2k 3.5× 589 1.1× 61 6.4k
Lining Zhang China 37 2.0k 1.0× 2.4k 1.2× 887 0.5× 789 1.3× 826 1.5× 147 4.8k
Alberto Faggioni Italy 40 1.2k 0.6× 1.7k 0.8× 1.9k 1.0× 1.9k 3.0× 513 0.9× 138 5.1k
Lavinia Vittoria Lotti Italy 32 1.0k 0.5× 1.8k 0.9× 629 0.4× 473 0.8× 219 0.4× 69 3.8k
Helen E. Thomas Australia 43 2.0k 1.0× 1.6k 0.8× 525 0.3× 448 0.7× 256 0.5× 144 5.9k
Chengjiang Gao China 43 3.0k 1.4× 3.5k 1.7× 884 0.5× 637 1.0× 876 1.6× 139 6.3k
Craig M. Walsh United States 34 2.1k 1.0× 1.9k 0.9× 682 0.4× 564 0.9× 329 0.6× 77 4.1k

Countries citing papers authored by You‐Wen He

Since Specialization
Citations

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

Fields of papers citing papers by You‐Wen He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by You‐Wen He. 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 You‐Wen He. The network helps show where You‐Wen He may publish in the future.

Co-authorship network of co-authors of You‐Wen He

This figure shows the co-authorship network connecting the top 25 collaborators of You‐Wen He. A scholar is included among the top collaborators of You‐Wen He 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 You‐Wen He. You‐Wen He 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.
Wang, Hao, Xiaoqian Xu, Cheng Huang, et al.. (2025). Non-canonical Wnt signaling pathway activated NFATC3 promotes GDF15 expression in MASH: prospective analyses of UK biobank proteomic data. Hepatology International. 19(3). 662–672.
2.
Clarke, Jeffrey, George R. Simon, Hirva Mamdani, et al.. (2025). Complement factor H targeting antibody GT103 in refractory non-small cell lung cancer: a phase 1b dose escalation trial. Nature Communications. 16(1). 93–93. 7 indexed citations
3.
Zhang, Xin, et al.. (2025). Manure application affects microbial metabolic quotient through DOM recalcitrance and microbial strategy shifts in a Mollisol. Soil and Tillage Research. 252. 106616–106616. 1 indexed citations
4.
5.
Saxena, Ruchi, Catherine F. Welsh, & You‐Wen He. (2024). Targeting regulated cell death pathways in cancers for effective treatment: a comprehensive review. Frontiers in Cell and Developmental Biology. 12. 1462339–1462339. 7 indexed citations
6.
Saxena, Ruchi, et al.. (2023). Antitumor Immune Mechanisms of the Anti-Complement Factor H Antibody GT103. Molecular Cancer Therapeutics. 22(6). 778–789. 16 indexed citations
7.
Li, Junqi, Qianting Wang, Ying Nie, et al.. (2019). <p>A Multi-Element Expression Score Is A Prognostic Factor In Glioblastoma Multiforme</p>. Cancer Management and Research. Volume 11. 8977–8989. 7 indexed citations
8.
Csepregi, Janka Zsófia, Tamás Németh, Edina Simon, et al.. (2018). Myeloid-Specific Deletion of Mcl-1 Yields Severely Neutropenic Mice That Survive and Breed in Homozygous Form. The Journal of Immunology. 201(12). 3793–3803. 33 indexed citations
9.
Xia, Houjun, Wei Wang, Joel Crespo, et al.. (2017). Suppression of FIP200 and autophagy by tumor-derived lactate promotes naïve T cell apoptosis and affects tumor immunity. Science Immunology. 2(17). 119 indexed citations
10.
Wang, Yu, Shengnan Sun, Qing Liu, et al.. (2016). Autocrine Complement Inhibits IL10-Dependent T-cell–Mediated Antitumor Immunity to Promote Tumor Progression. Cancer Discovery. 6(9). 1022–1035. 122 indexed citations
11.
He, Ming‐Xiao & You‐Wen He. (2013). CFLAR/c-FLIPL. Autophagy. 9(5). 791–793. 32 indexed citations
12.
McLeod, Ian X., Wei Jia, & You‐Wen He. (2012). The contribution of autophagy to lymphocyte survival and homeostasis. Immunological Reviews. 249(1). 195–204. 50 indexed citations
13.
O’Brien, Thomas, et al.. (2011). Regulation of T‐cell survival and mitochondrial homeostasis by TSC1. European Journal of Immunology. 41(11). 3361–3370. 69 indexed citations
14.
Zhou, Xiang, Liangli Wang, Hiroshi Hasegawa, et al.. (2010). Deletion of PIK3C3/Vps34 in sensory neurons causes rapid neurodegeneration by disrupting the endosomal but not the autophagic pathway. Proceedings of the National Academy of Sciences. 107(20). 9424–9429. 184 indexed citations
15.
Dunkle, Alexis & You‐Wen He. (2010). Apoptosis and autophagy in the regulation of T lymphocyte function. Immunologic Research. 49(1-3). 70–86. 23 indexed citations
16.
Zhang, Ping, Demin Li, Guillaume B. E. Stewart-Jones, et al.. (2009). A single amino acid defines cross‐species reactivity of tree shrew (Tupaia belangeri) CD1d to human invariant natural killer T (iNKT) cells. Immunology. 128(4). 500–510. 3 indexed citations
17.
Zhang, Nu, Kaycie C. Hopkins, & You‐Wen He. (2008). The Long Isoform of Cellular FLIP Is Essential for T Lymphocyte Proliferation through an NF-κB-Independent Pathway. The Journal of Immunology. 180(8). 5506–5511. 26 indexed citations
18.
Jia, Wei, Hong Li, & You‐Wen He. (2008). Pattern Recognition Molecule Mindin Promotes Intranasal Clearance of Influenza Viruses. The Journal of Immunology. 180(9). 6255–6261. 31 indexed citations
19.
Gu, Jing, Nu Zhang, You‐Wen He, Anthony J. Koleske, & Ann Marie Pendergast. (2007). Defective T Cell Development and Function in the Absence of Abelson Kinases. The Journal of Immunology. 179(11). 7334–7343. 42 indexed citations
20.
Zhang, Nu, Jian Guo, & You‐Wen He. (2003). Lymphocyte Accumulation in the Spleen of Retinoic Acid Receptor-Related Orphan Receptor γ-Deficient Mice. The Journal of Immunology. 171(4). 1667–1675. 11 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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