Hu Ding
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- Peroxisome Proliferator-Activated Receptors 5
- RNA Research and Splicing 4
- RNA modifications and cancer 4
- Surgery 15
- Co-authors
- Dao Wen Wang (48 shared papers)Rutai Hui (12 shared papers)Haoran Wang (4 shared papers)Guanglin Cui (16 shared papers)Yujun Xu (17 shared papers)Jinzhao Zhao (4 shared papers)Kun Miao (2 shared papers)Jiangtao Yan (12 shared papers)
- Journals
- PLoS ONE (5 papers)Gene (3 papers)Pharmacogenetics and Genomics (3 papers)Atherosclerosis (2 papers)Acta Pharmacologica Sinica (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hu Ding
85 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 122
- Aging 83
- Biochemistry 149
- Physiology 444
- Endocrinology, Diabetes and Metabolism 216
- Cardiology and Cardiovascular Medicine 296
Countries citing papers authored by Hu Ding
This map shows the geographic impact of Hu 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 Hu Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hu Ding more than expected).
Fields of papers citing papers by Hu Ding
This network shows the impact of papers produced by Hu 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 Hu Ding. The network helps show where Hu Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Hu Ding, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 178 | |
| 2 | 2009 | 130 | |
| 3 | 2012 | 92 | |
| 4 | 2010 | 69 | |
| 5 | 2009 | 64 | |
| 6 | 2008 | 59 | |
| 7 | 2014 | 55 | |
| 8 | 2012 | 55 | |
| 9 | 2014 | 52 | |
| 10 | 2003 | 49 | |
| 11 | 1998 | 48 | |
| 12 | 2009 | 40 | |
| 13 | 2013 | 39 | |
| 14 | 2022 | 38 | |
| 15 | 2010 | 37 | |
| 16 | 2011 | 35 | |
| 17 | 2014 | 32 | |
| 18 | 1998 | 31 | |
| 19 | Growth factors and acute renal failure. | 1998 | 31 |
| 20 | 2011 | 30 |
About Hu Ding
Hu Ding is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Hormonal Regulation and Hypertension (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Nuclear Receptors and Signaling (4 papers). The work is most often cited by research in Aging (83 citations), Biochemistry (149 citations), Physiology (444 citations), Endocrinology, Diabetes and Metabolism (216 citations) and Cardiology and Cardiovascular Medicine (296 citations). Hu Ding has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dao Wen Wang, Rutai Hui, Haoran Wang, Guanglin Cui, Yujun Xu, Jinzhao Zhao, Kun Miao, Jiangtao Yan, Raimund Hirschberg and Zongzhe Li. Their work appears in journals such as PLoS ONE, Gene, Pharmacogenetics and Genomics, Atherosclerosis and Acta Pharmacologica Sinica.
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.