Yi Ding

6.5k total citations · 2 hit papers
109 papers, 4.6k citations indexed

About

Yi Ding is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Yi Ding has authored 109 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 30 papers in Immunology and 17 papers in Cancer Research. Recurrent topics in Yi Ding's work include Immune Cell Function and Interaction (22 papers), Cancer-related molecular mechanisms research (12 papers) and T-cell and B-cell Immunology (11 papers). Yi Ding is often cited by papers focused on Immune Cell Function and Interaction (22 papers), Cancer-related molecular mechanisms research (12 papers) and T-cell and B-cell Immunology (11 papers). Yi Ding collaborates with scholars based in China, United States and Germany. Yi Ding's co-authors include Juan J. Lafaille, Ken Cadwell, Steven S. Shen, Maria A. Curotto de Lafaille, Elisabeth Kernbauer, Michael L. Dustin, Andreia C. Lino, Dan R. Littman, Richard Bonneau and Herman Yee and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yi Ding

105 papers receiving 4.5k citations

Hit Papers

An enteric virus can replace the beneficial function of c... 2014 2026 2018 2022 2014 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Ding China 28 2.1k 1.9k 594 462 410 109 4.6k
Anshu Agrawal United States 33 2.0k 1.0× 1.5k 0.8× 464 0.8× 434 0.9× 363 0.9× 95 4.6k
Laurence Fiette France 38 1.7k 0.8× 1.9k 1.0× 672 1.1× 576 1.2× 560 1.4× 81 5.1k
Shruti Naik United States 26 2.1k 1.0× 1.7k 0.9× 396 0.7× 429 0.9× 267 0.7× 52 5.2k
Emer P. Reeves Ireland 41 2.1k 1.0× 1.8k 0.9× 449 0.8× 690 1.5× 314 0.8× 107 5.6k
Alexander N.R. Weber Germany 36 2.9k 1.4× 1.6k 0.9× 394 0.7× 248 0.5× 328 0.8× 99 4.9k
Shigeru Kakuta Japan 35 3.6k 1.7× 2.0k 1.1× 853 1.4× 454 1.0× 378 0.9× 74 6.4k
Wiebke Hansen Germany 37 2.1k 1.0× 1.2k 0.7× 604 1.0× 261 0.6× 383 0.9× 99 3.9k
Sudhanshu Agrawal United States 34 2.2k 1.0× 1.1k 0.6× 416 0.7× 445 1.0× 329 0.8× 100 4.5k
Kang Chen China 35 1.6k 0.7× 1.9k 1.0× 499 0.8× 360 0.8× 251 0.6× 135 4.6k
Jason B. Weinberg United States 37 1.7k 0.8× 1.4k 0.7× 544 0.9× 549 1.2× 439 1.1× 122 5.0k

Countries citing papers authored by Yi Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yi Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Ding. A scholar is included among the top collaborators of Yi Ding 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 Yi Ding. Yi Ding 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.
Hu, Chunhua, et al.. (2025). Metabolic changes in neuroendocrine neoplasms. Cellular and Molecular Life Sciences. 82(1). 205–205.
2.
Loreth, Desirée, Oliver Kretz, Annkathrin Hanssen, et al.. (2024). HERC5 downregulation in non-small cell lung cancer is associated with altered energy metabolism and metastasis. Journal of Experimental & Clinical Cancer Research. 43(1). 110–110. 7 indexed citations
3.
Ding, Yi, Marieke Lavaert, Simon Grassmann, et al.. (2024). Distinct developmental pathways generate functionally distinct populations of natural killer cells. Nature Immunology. 25(7). 1183–1192. 19 indexed citations
4.
Ejiyi, Chukwuebuka Joseph, et al.. (2024). Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet. Computers in Biology and Medicine. 185. 109494–109494. 10 indexed citations
5.
Ding, Yi, Tinghong Gao, Yutao Liu, et al.. (2023). Effect of shell thickness on mechanical behavior of Al/Ti core-shell nanowires during three-point bending and unloading. Mechanics of Materials. 188. 104853–104853. 3 indexed citations
6.
Li, Bei, et al.. (2023). Molecular pathogenesis, mechanism and therapy of Cav1 in prostate cancer. Discover Oncology. 14(1). 196–196. 8 indexed citations
7.
Malin, Justin, Gustavo Ulises Martinez‐Ruíz, Yongge Zhao, et al.. (2023). Expression of the transcription factor Klf6 by thymic epithelial cells is required for thymus development. Science Advances. 9(46). eadg8126–eadg8126. 3 indexed citations
8.
Zhu, Guohun, T. Qiu, Yi Ding, et al.. (2022). Detecting Depression Using Single-Channel EEG and Graph Methods. Mathematics. 10(22). 4177–4177. 8 indexed citations
9.
Matsuzawa, Yu, Xiaomin Yao, Akiko Koide, et al.. (2022). The γδ IEL effector API5 masks genetic susceptibility to Paneth cell death. Nature. 610(7932). 547–554. 36 indexed citations
10.
Ren, Gang, Binbin Lai, Christelle Harly, et al.. (2022). Transcription factors TCF-1 and GATA3 are key factors for the epigenetic priming of early innate lymphoid progenitors toward distinct cell fates. Immunity. 55(8). 1402–1413.e4. 14 indexed citations
11.
Ding, Yi, Yuanfei Zhu, Ashwani Kumar, et al.. (2020). Forward genetic analysis using OCT screening identifiesSfxn3mutations leading to progressive outer retinal degeneration in mice. Proceedings of the National Academy of Sciences. 117(23). 12931–12942. 11 indexed citations
12.
Xu, Lingyang, Yanghua He, Yi Ding, et al.. (2017). Characterization of Copy Number Variation’s Potential Role in Marek’s Disease. International Journal of Molecular Sciences. 18(5). 1020–1020. 9 indexed citations
13.
Cui, Jing, Yi Ding, Chen Shu, et al.. (2016). Disruption of Gpr45 causes reduced hypothalamic POMC expression and obesity. Journal of Clinical Investigation. 126(9). 3192–3206. 30 indexed citations
14.
He, Yanghua, Yi Ding, Fei Zhan, et al.. (2015). The conservation and signatures of lincRNAs in Marek’s disease of chicken. Scientific Reports. 5(1). 15184–15184. 46 indexed citations
15.
Li, Yaokun, José A. Carrillo, Yi Ding, et al.. (2015). Ruminal Transcriptomic Analysis of Grass-Fed and Grain-Fed Angus Beef Cattle. PLoS ONE. 10(6). e0116437–e0116437. 17 indexed citations
16.
Kernbauer, Elisabeth, Yi Ding, & Ken Cadwell. (2014). An enteric virus can replace the beneficial function of commensal bacteria. Nature. 516(7529). 94–98. 376 indexed citations breakdown →
17.
Zanin‐Zhorov, Alexandra, Yi Ding, Sudha Kumari, et al.. (2010). Protein Kinase C-θ Mediates Negative Feedback on Regulatory T Cell Function. Science. 328(5976). 372–376. 219 indexed citations
18.
Ding, Yi. (2010). A Preliminary Study on the Chemical Component of Aletris spicata(Thunb.) Franch. Lishizhen Medicine and Materia Medica Research.
19.
Tadokoro, Carlos E., Guy Shakhar, Steven S. Shen, et al.. (2006). Regulatory T cells inhibit stable contacts between CD4+ T cells and dendritic cells in vivo. The Journal of Experimental Medicine. 203(3). 505–511. 399 indexed citations
20.
Ding, Yi, et al.. (2006). Interferon-Inducible Protein IFIXα1 Functions as a Negative Regulator of HDM2. Molecular and Cellular Biology. 26(5). 1979–1996. 36 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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