Dong‐Ming Su
Impact in
- Aging top 5%
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Immunology 21
- T-cell and B-cell Immunology 15
- Immunotherapy and Immune Responses 9
- Immune Cell Function and Interaction 7
- Co-authors
- Weikan WangRachel ThomasNancy R. ManleyJingang GuiBrandon CoderLisa Maria MustachioPeter F. BarnesBrian G. Condie
- Journals
- The Journal of Immunology (7 papers)Frontiers in Immunology (3 papers)Aging Cell (3 papers)Immunology (2 papers)Oncotarget (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Dong‐Ming Su
48 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Aging 78
- Immunology 909
- Neurology 299
- Biological Psychiatry 77
- Endocrine and Autonomic Systems 133
Countries citing papers authored by Dong‐Ming Su
This map shows the geographic impact of Dong‐Ming Su'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 Dong‐Ming Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Ming Su more than expected).
Fields of papers citing papers by Dong‐Ming Su
This network shows the impact of papers produced by Dong‐Ming Su. 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 Dong‐Ming Su. The network helps show where Dong‐Ming Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong‐Ming Su, 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 | 2022 | 21 | |
| 3 | 2020 | 39 | |
| 4 | 2018 | 10 | |
| 5 | 2017 | 1 | |
| 6 | 2017 | 38 | |
| 7 | 2015 | 9 | |
| 8 | 2014 | 75 | |
| 9 | 2013 | 33 | |
| 10 | 2012 | 26 | |
| 11 | 2010 | 19 | |
| 12 | 2010 | 6 | |
| 13 | 2009 | 85 | |
| 14 | 2007 | 8 | |
| 15 | 2007 | 97 | |
| 16 | 2005 | 100 | |
| 17 | 2003 | 120 | |
| 18 | 2002 | 12 | |
| 19 | 2000 | 62 | |
| 20 | 1997 | 31 |
About Dong‐Ming Su
Dong‐Ming Su is a scholar working on Aging, Immunology, Biological Psychiatry, Neurology and Developmental Neuroscience, having authored 49 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (15 papers), Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Developmental Biology and Gene Regulation (4 papers), Lymphatic System and Diseases (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and FOXO transcription factor regulation (3 papers). The work is most often cited by research in Aging (78 citations), Immunology (909 citations), Neurology (299 citations), Biological Psychiatry (77 citations) and Endocrine and Autonomic Systems (133 citations). Dong‐Ming Su has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Weikan Wang, Rachel Thomas, Nancy R. Manley, Jingang Gui, Brandon Coder, Lisa Maria Mustachio, Peter F. Barnes, Brian G. Condie, Ruth W. Craig and Linhui Ruan. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Aging Cell, Immunology and Oncotarget.
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.