Donghong Yan
Impact in
- Immunology top 5%
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Molecular Medicine top 10%
Papers in
-
- Antibiotic Resistance in Bacteria 4
- Co-authors
- Marios C. PapadopoulosGeoffrey T. ManleySamira SaadounHiroyuki WatanabeA. S. VerkmanA.S. VerkmanMin XuWyne P. Lee
- Journals
- Nature Immunology (4 papers)The Journal of Immunology (3 papers)Proceedings of the National Academy of Sciences (3 papers)mBio (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Donghong Yan
27 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 107
- Immunology 562
- Molecular Medicine 72
- Developmental Neuroscience 57
- Molecular Biology 822
- Neurology 93
Countries citing papers authored by Donghong Yan
This map shows the geographic impact of Donghong Yan'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 Donghong Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghong Yan more than expected).
Fields of papers citing papers by Donghong Yan
This network shows the impact of papers produced by Donghong Yan. 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 Donghong Yan. The network helps show where Donghong Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Donghong Yan, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2022 | 10 | |
| 4 | 2021 | 76 | |
| 5 | Enhanced expression of long non-coding RNA Sox2ot promoted cell proliferation and motility in colorectal cancer. | 2016 | 25 |
| 6 | 2016 | 38 | |
| 7 | 2014 | 48 | |
| 8 | 2014 | 36 | |
| 9 | 2013 | 140 | |
| 10 | 2013 | 140 | |
| 11 | 2013 | 135 | |
| 12 | 2013 | 38 | |
| 13 | 2012 | 125 | |
| 14 | 2012 | 6 | |
| 15 | 2010 | 14 | |
| 16 | 2006 | 96 | |
| 17 | 2006 | 71 | |
| 18 | 2002 | 112 | |
| 19 | 2002 | 14 | |
| 20 | 2000 | 12 |
About Donghong Yan
Donghong Yan is a scholar working on Molecular Medicine, Developmental Neuroscience, Immunology, Endocrinology and Microbiology, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers), Antibiotic Resistance in Bacteria (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Eosinophilic Esophagitis (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Ion Transport and Channel Regulation (3 papers). The work is most often cited by research in Immunology (562 citations), Molecular Medicine (72 citations), Developmental Neuroscience (57 citations), Molecular Biology (822 citations) and Neurology (93 citations). Donghong Yan has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Marios C. Papadopoulos, Geoffrey T. Manley, Samira Saadoun, Hiroyuki Watanabe, A. S. Verkman, A.S. Verkman, Min Xu, Wyne P. Lee, Cary D. Austin and Kazunori Uchida. Their work appears in journals such as Nature Immunology, The Journal of Immunology, Proceedings of the National Academy of Sciences, mBio and Scientific Reports.
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.