Ding Wang
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Mitochondrial Function and Pathology
- Metabolomics and Mass Spectrometry Studies
- Ubiquitin and proteasome pathways
Papers in
-
- Mitochondrial Function and Pathology 7
- Metabolomics and Mass Spectrometry Studies 6
- Ubiquitin and proteasome pathways 5
- Oncology 7
- Peptidase Inhibition and Analysis 5
- Co-authors
- Peipei Ping (15 shared papers)Jeffrey L. Garvin (2 shared papers)Edward Lau (11 shared papers)Maggie P. Y. Lam (10 shared papers)David A. Liem (8 shared papers)Chenggong Zong (9 shared papers)Barbara A. Stoos (1 shared paper)Craig F. Plato (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (3 papers)Journal of Proteomics (2 papers)Circulation Research (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (2 papers)Science Signaling (1 paper)
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Ding Wang
37 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Aging 24
- Molecular Biology 701
- Spectroscopy 174
- Physiology 202
- Cell Biology 135
Countries citing papers authored by Ding Wang
This map shows the geographic impact of Ding Wang'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 Ding Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Wang more than expected).
Fields of papers citing papers by Ding Wang
This network shows the impact of papers produced by Ding Wang. 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 Ding Wang. The network helps show where Ding Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding Wang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 146 | |
| 2 | 1999 | 119 | |
| 3 | 2014 | 75 | |
| 4 | 2016 | 72 | |
| 5 | 2015 | 69 | |
| 6 | 2003 | 64 | |
| 7 | 2013 | 44 | |
| 8 | 2014 | 38 | |
| 9 | 2018 | 38 | |
| 10 | 2012 | 36 | |
| 11 | 2012 | 33 | |
| 12 | 2010 | 32 | |
| 13 | 2020 | 31 | |
| 14 | 2012 | 27 | |
| 15 | 2017 | 24 | |
| 16 | 2018 | 22 | |
| 17 | 2012 | 22 | |
| 18 | 2016 | 21 | |
| 19 | 2018 | 17 | |
| 20 | 1985 | 16 |
About Ding Wang
Ding Wang is a scholar working on Molecular Biology, Oncology, Spectroscopy, Cardiology and Cardiovascular Medicine and Genetics, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Ubiquitin and proteasome pathways (5 papers), Peptidase Inhibition and Analysis (5 papers), Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Aging (24 citations), Molecular Biology (701 citations), Spectroscopy (174 citations), Physiology (202 citations) and Cell Biology (135 citations). Ding Wang has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Peipei Ping, Jeffrey L. Garvin, Edward Lau, Maggie P. Y. Lam, David A. Liem, Chenggong Zong, Barbara A. Stoos, Craig F. Plato, Sarah B. Scruggs and Allen K. Kim. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteomics, Circulation Research, PROTEOMICS - CLINICAL APPLICATIONS and Science Signaling.
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.