Hu Zeng

4.5k total citations · 1 hit paper
63 papers, 3.2k citations indexed

About

Hu Zeng is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Hu Zeng has authored 63 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Immunology, 31 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Hu Zeng's work include Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (17 papers) and PI3K/AKT/mTOR signaling in cancer (11 papers). Hu Zeng is often cited by papers focused on Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (17 papers) and PI3K/AKT/mTOR signaling in cancer (11 papers). Hu Zeng collaborates with scholars based in United States, China and United Kingdom. Hu Zeng's co-authors include Hongbo Chi, Geoffrey Neale, Peter Vogel, Kai Yang, Caryn Cloer, Tiffany Horng, Jonathan Jung, Sharad Shrestha, Richard F. Lamb and Peer W. F. Karmaus and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hu Zeng

57 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

mTORC1 couples immune signals and metabolic programming to establish Treg-cell function

2013 614 citations Hu Zeng, Kai Yang et al. profile →

Peers

Hu Zeng

IMMUN

ONCOL

GENET

Kenji Ichiyama Japan

Joseph Barbi United States

Jessica A. Wofford United States

Bhanu P. Pappu United States

Eleni Douni Greece

Adam T. Waickman United States

Ramon I. Klein Geltink Canada

Sarah R. Walmsley United Kingdom

Kenji Ichiyama Japan

Hu Zeng

2.4k ×1.1

IMMUN

1.0k ×0.8

806 ×1.5

ONCOL

360 ×0.8

263 ×1.0

GENET

Citations per year, relative to Hu Zeng Hu Zeng (= 1×) peers Kenji Ichiyama

Countries citing papers authored by Hu Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Hu Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hu Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Hu Zeng. A scholar is included among the top collaborators of Hu Zeng 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 Hu Zeng. Hu Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Panwen, Yue Yu, Haidong Dong, et al.. (2025). Immunopipe: a comprehensive and flexible scRNA-seq and scTCR-seq data analysis pipeline. NAR Genomics and Bioinformatics. 7(2). lqaf063–lqaf063.

Xu, Meng, Ziqing Zhang, Hu Zeng, et al.. (2025). Disrupting the MC1R/α‐MSH‐pCREB‐MITF Axis: Rhein‐based PROTAC D16 as a Potent Melanogenesis Inhibitor. Chemistry & Biodiversity. 22(12). e01651–e01651. 1 indexed citations

Li, Yanfeng, et al.. (2024). CPT2-mediated Fatty Acid Oxidation Is Dispensable for Humoral Immunity. The Journal of Immunology. 213(8). 1139–1149. 5 indexed citations

Zhu, Xingxing, Yue Wu, Yanfeng Li, et al.. (2024). The nutrient-sensing Rag-GTPase complex in B cells controls humoral immunity via TFEB/TFE3-dependent mitochondrial fitness. Nature Communications. 15(1). 10163–10163. 2 indexed citations

Barham, Whitney, Xin Liu, Susan M. Harrington, et al.. (2023). A Novel Humanized PD-1/PD-L1 Mouse Model Permits Direct Comparison of Antitumor Immunity Generated by Food and Drug Administration–Approved PD-1 and PD-L1 Inhibitors. ImmunoHorizons. 7(1). 125–139. 6 indexed citations

Figueroa‐Parra, Gabriel, Xian Zhou, Yanfeng Li, et al.. (2023). Immune responses and disease biomarker long-term changes following COVID-19 mRNA vaccination in a cohort of rheumatic disease patients. Frontiers in Immunology. 14. 1224702–1224702. 5 indexed citations

Cunningham, Kevin Y., Benjamin Hur, Vinod K. Gupta, et al.. (2023). Patients with ACPA-positive and ACPA-negative rheumatoid arthritis show different serological autoantibody repertoires and autoantibody associations with disease activity. Scientific Reports. 13(1). 13 indexed citations

Saravia, Jordy, Hu Zeng, Yogesh Dhungana, et al.. (2020). Homeostasis and transitional activation of regulatory T cells require c-Myc. Science Advances. 6(1). eaaw6443–eaaw6443. 60 indexed citations

Su, Wei, Nicole M. Chapman, Jun Wei, et al.. (2020). Protein Prenylation Drives Discrete Signaling Programs for the Differentiation and Maintenance of Effector Treg Cells. Cell Metabolism. 32(6). 996–1011.e7. 39 indexed citations

10.

Zeng, Hu, Mei Yu, Haiyan Tan, et al.. (2018). Discrete roles and bifurcation of PTEN signaling and mTORC1-mediated anabolic metabolism underlie IL-7–driven B lymphopoiesis. Science Advances. 4(1). eaar5701–eaar5701. 35 indexed citations

11.

Zeng, Hu & Hongbo Chi. (2017). mTOR signaling in the differentiation and function of regulatory and effector T cells. Current Opinion in Immunology. 46. 103–111. 136 indexed citations

12.

Zeng, Hu & Hongbo Chi. (2014). Metabolic control of regulatory T cell development and function. Trends in Immunology. 36(1). 3–12. 223 indexed citations

13.

Yang, Kai, Sharad Shrestha, Hu Zeng, et al.. (2013). T Cell Exit from Quiescence and Differentiation into Th2 Cells Depend on Raptor-mTORC1-Mediated Metabolic Reprogramming. Immunity. 39(6). 1043–1056. 311 indexed citations

14.

Huang, Zan, Hai‐Bin Ruan, Weiqian Chen, et al.. (2013). Mutation in the First Ig-Like Domain of Kit Leads to JAK2 Activation and Myeloproliferation in Mice. American Journal Of Pathology. 184(1). 122–132. 2 indexed citations

15.

Zeng, Hu. (2011). Stability and Flip Bifurcation of a Discrete SIS Epidemic Model. 1 indexed citations

16.

Malarkannan, Subramaniam, Haiyan Chu, Yuhong Chen, et al.. (2007). Bcl10 Plays a Divergent Role in NK Cell-Mediated Cytotoxicity and Cytokine Generation. The Journal of Immunology. 179(6). 3752–3762. 35 indexed citations

17.

Chen, Yuhong, Bhanu P. Pappu, Hu Zeng, et al.. (2007). B Cell Lymphoma 10 Is Essential for FcεR-Mediated Degranulation and IL-6 Production in Mast Cells. The Journal of Immunology. 178(1). 49–57. 24 indexed citations

18.

Wang, Donghai, Yun You, Liquan Xue, et al.. (2006). Bcl10 plays a critical role in NF-κB activation induced by G protein-coupled receptors. Proceedings of the National Academy of Sciences. 104(1). 145–150. 80 indexed citations

19.

Yu, Mingyan, Haibo Sha, Yan Gao, et al.. (2006). Alternative 3′ UTR polyadenylation of Bzw1 transcripts display differential translation efficiency and tissue-specific expression. Biochemical and Biophysical Research Communications. 345(1). 479–485. 22 indexed citations

20.

Zhu, Yi, Hu Zeng, Jianming Xie, et al.. (2004). Atomic Force Microscopy Studies on DNA Structural Changes Induced by Vincristine Sulfate and Aspirin. Microscopy and Microanalysis. 10(2). 286–290. 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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