Yan Ding
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Cancer Research top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 10
- Genomics and Phylogenetic Studies 10
- Epidemiology 12
- Autophagy in Disease and Therapy 4
- Co-authors
- Mary E. Choi (8 shared papers)Zhibo Wang (3 shared papers)Thorsten Dittmar (1 shared paper)Jutta Niggemann (1 shared paper)Robert G. M. Spencer (1 shared paper)Anssi V. Vähätalo (1 shared paper)John Campbell (1 shared paper)Rudolf Jaffé (1 shared paper)
- Journals
- Wireless Personal Communications (6 papers)PLoS ONE (3 papers)Journal of Applied Phycology (3 papers)BMC Cancer (3 papers)American Journal Of Pathology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yan Ding
121 papers receiving 3.6k citations
Yan Ding's Hit Papers
Peers
Comparison fields: 5 of 155
- Nephrology 318
- Cancer Research 322
- Molecular Biology 1.5k
- Epidemiology 474
- Oceanography 169
Countries citing papers authored by Yan Ding
This map shows the geographic impact of Yan 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 Yan Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ding more than expected).
Fields of papers citing papers by Yan Ding
This network shows the impact of papers produced by Yan 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 Yan Ding. The network helps show where Yan Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global Charcoal Mobilization from Soils via Dissolution and Riverine Transport to the Oceans Hit paper breakdown → | 2013 | 464 |
| 2 | 2014 | 257 | |
| 3 | 2014 | 235 | |
| 4 | 2012 | 195 | |
| 5 | 2014 | 163 | |
| 6 | 2013 | 121 | |
| 7 | 2012 | 113 | |
| 8 | 1999 | 89 | |
| 9 | 2010 | 81 | |
| 10 | 2009 | 72 | |
| 11 | 2010 | 66 | |
| 12 | 2016 | 64 | |
| 13 | 2012 | 60 | |
| 14 | 2008 | 54 | |
| 15 | 2023 | 52 | |
| 16 | 2014 | 47 | |
| 17 | 2015 | 46 | |
| 18 | 2007 | 46 | |
| 19 | 2010 | 45 | |
| 20 | 2013 | 45 |
About Yan Ding
Yan Ding is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Oncology and Surgery, having authored 125 papers that have together received 3.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Genomics and Phylogenetic Studies (10 papers), MicroRNA in disease regulation (6 papers), Chronic Kidney Disease and Diabetes (6 papers), Carbohydrate Chemistry and Synthesis (5 papers), Autophagy in Disease and Therapy (4 papers), Mobile Ad Hoc Networks (4 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). The work is most often cited by research in Nephrology (318 citations), Cancer Research (322 citations), Molecular Biology (1.5k citations), Epidemiology (474 citations) and Oceanography (169 citations). Yan Ding has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mary E. Choi, Zhibo Wang, Thorsten Dittmar, Jutta Niggemann, Robert G. M. Spencer, Anssi V. Vähätalo, John Campbell, Rudolf Jaffé, Aron Stubbins and Ken F. Jarrell. Their work appears in journals such as Wireless Personal Communications, PLoS ONE, Journal of Applied Phycology, BMC Cancer and American Journal Of Pathology.
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.