Xiaodong Yang
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Genetics top 1%
- Diabetes and associated disorders
Papers in
- Aging 2
-
- NF-κB Signaling Pathways 10
- Co-authors
- Hugh O. McDevittRoland TischRoland LiblauSteven M. SingerLin‐Feng ChenBo HuangLars FuggerAcacia Lamb
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Diabetes (4 papers)The Journal of Experimental Medicine (3 papers)Frontiers in Immunology (2 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Xiaodong Yang
87 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Immunology 1.9k
- Genetics 1.5k
- Endocrinology, Diabetes and Metabolism 533
- Cancer Research 447
- Molecular Biology 1.9k
Countries citing papers authored by Xiaodong Yang
This map shows the geographic impact of Xiaodong Yang'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 Xiaodong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodong Yang more than expected).
Fields of papers citing papers by Xiaodong Yang
This network shows the impact of papers produced by Xiaodong Yang. 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 Xiaodong Yang. The network helps show where Xiaodong Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodong Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2021 | 54 | |
| 10 | 2018 | 71 | |
| 11 | 2017 | 29 | |
| 12 | 2014 | 13 | |
| 13 | 2011 | 2 | |
| 14 | 2011 | 60 | |
| 15 | 2009 | 3 | |
| 16 | 2009 | 38 | |
| 17 | 2008 | 479 | |
| 18 | 2006 | 53 | |
| 19 | 2006 | 25 | |
| 20 | Immune response to glutamic acid decarboxylase correlates with insulitis in non-obese diabetic mice Hit paper breakdown → | 1993 | 794 |
About Xiaodong Yang
Xiaodong Yang is a scholar working on Aging, Cancer Research, Immunology, Structural Biology and Genetics, having authored 94 papers that have together received 4.9k indexed citations. Recurring topics across this work include Diabetes and associated disorders (15 papers), NF-κB Signaling Pathways (10 papers), Pancreatic function and diabetes (10 papers), Diabetes Management and Research (7 papers), Immune Response and Inflammation (7 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Histone Deacetylase Inhibitors Research (5 papers). The work is most often cited by research in Immunology (1.9k citations), Genetics (1.5k citations), Endocrinology, Diabetes and Metabolism (533 citations), Cancer Research (447 citations) and Molecular Biology (1.9k citations). Xiaodong Yang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Hugh O. McDevitt, Roland Tisch, Roland Liblau, Steven M. Singer, Lin‐Feng Chen, Bo Huang, Lars Fugger, Acacia Lamb, Ming‐Ming Zhou and Keiko Ozato. Their work appears in journals such as Proceedings of the National Academy of Sciences, Diabetes, The Journal of Experimental Medicine, Frontiers in Immunology and Cancer Letters.
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.