Yong Du
Impact in
- Nephrology top 2%
- Renal Diseases and Glomerulopathies
- Immunology top 10%
- T-cell and B-cell Immunology
Papers in
- Immunology 17
- T-cell and B-cell Immunology 5
- Co-authors
- Chandra Mohan (41 shared papers)Donna H. Wang (4 shared papers)Tobias Carling (3 shared papers)Shi Huang (3 shared papers)Wei Fang (2 shared papers)Kamala Vanarsa (11 shared papers)Jin‐Chuan Sheu (1 shared paper)Zhe Piao (1 shared paper)
- Journals
- The Journal of Immunology (5 papers)PLoS ONE (5 papers)Journal of the American Society of Nephrology (3 papers)Clinical Immunology (3 papers)Arthritis Research & Therapy (3 papers)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Yong Du
94 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 120
- Nephrology 257
- Immunology 399
- Genetics 176
- Rheumatology 239
- Pathology and Forensic Medicine 197
Countries citing papers authored by Yong Du
This map shows the geographic impact of Yong Du'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 Yong Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Du more than expected).
Fields of papers citing papers by Yong Du
This network shows the impact of papers produced by Yong Du. 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 Yong Du. The network helps show where Yong Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Yong Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hypermethylation in human cancers of the RIZ1 tumor suppressor gene, a member of a histone/protein methyltransferase superfamily. | 2001 | 145 |
| 2 | 2012 | 78 | |
| 3 | 2022 | 74 | |
| 4 | 2015 | 73 | |
| 5 | 2010 | 71 | |
| 6 | 2016 | 70 | |
| 7 | 2015 | 68 | |
| 8 | 2013 | 67 | |
| 9 | 1995 | 61 | |
| 10 | 2011 | 52 | |
| 11 | 2019 | 48 | |
| 12 | 2019 | 46 | |
| 13 | 2006 | 45 | |
| 14 | 2015 | 45 | |
| 15 | 2020 | 45 | |
| 16 | 2005 | 45 | |
| 17 | 2007 | 43 | |
| 18 | 2021 | 43 | |
| 19 | 2003 | 40 | |
| 20 | 2016 | 37 |
About Yong Du
Yong Du is a scholar working on Molecular Biology, Immunology, Rheumatology, Pathology and Forensic Medicine and Nephrology, having authored 96 papers that have together received 2.0k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (10 papers), Renal Diseases and Glomerulopathies (9 papers), Renin-Angiotensin System Studies (7 papers), Optical Coherence Tomography Applications (7 papers), Tea Polyphenols and Effects (6 papers), Photoacoustic and Ultrasonic Imaging (6 papers), T-cell and B-cell Immunology (5 papers) and Hormonal Regulation and Hypertension (5 papers). The work is most often cited by research in Nephrology (257 citations), Immunology (399 citations), Genetics (176 citations), Rheumatology (239 citations) and Pathology and Forensic Medicine (197 citations). Yong Du has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Chandra Mohan, Donna H. Wang, Tobias Carling, Shi Huang, Wei Fang, Kamala Vanarsa, Jin‐Chuan Sheu, Zhe Piao, Sanam Soomro and Deng‐Fu Guo. Their work appears in journals such as The Journal of Immunology, PLoS ONE, Journal of the American Society of Nephrology, Clinical Immunology and Arthritis Research & Therapy.
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.