Suping Wang
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Microbiology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 19
- Epidemiology 30
- Hepatitis B Virus Studies 22
- Liver Disease Diagnosis and Treatment 7
- Co-authors
- Armando P. Signore (3 shared papers)Feng Zhang (2 shared papers)Jun Chen (2 shared papers)Yanqin Gao (2 shared papers)Peter S. Vosler (2 shared papers)Yongliang Feng (56 shared papers)Yumin Luo (2 shared papers)Michael J. Zigmond (1 shared paper)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (19 papers)Expert Review of Vaccines (7 papers)Dyes and Pigments (4 papers)Medicine (3 papers)Human Vaccines & Immunotherapeutics (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Suping Wang
143 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 142
- Geriatrics and Gerontology 155
- Microbiology 26
- Neurology 171
- Obstetrics and Gynecology 109
- Developmental Neuroscience 57
Countries citing papers authored by Suping Wang
This map shows the geographic impact of Suping 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 Suping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suping Wang more than expected).
Fields of papers citing papers by Suping Wang
This network shows the impact of papers produced by Suping 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 Suping Wang. The network helps show where Suping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Suping 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 190 | |
| 2 | 2006 | 187 | |
| 3 | 2007 | 159 | |
| 4 | 1995 | 118 | |
| 5 | 2008 | 102 | |
| 6 | 2020 | 87 | |
| 7 | 2009 | 83 | |
| 8 | 2019 | 61 | |
| 9 | 2009 | 53 | |
| 10 | 1996 | 52 | |
| 11 | 2020 | 52 | |
| 12 | 2020 | 45 | |
| 13 | 2008 | 43 | |
| 14 | 2009 | 42 | |
| 15 | 2015 | 38 | |
| 16 | 2018 | 37 | |
| 17 | 2011 | 36 | |
| 18 | 2020 | 31 | |
| 19 | 2019 | 29 | |
| 20 | 2008 | 27 |
About Suping Wang
Suping Wang is a scholar working on Molecular Biology, Epidemiology, Obstetrics and Gynecology, Global and Planetary Change and Hepatology, having authored 156 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (22 papers), Genomics and Phylogenetic Studies (19 papers), Hepatitis C virus research (11 papers), Pregnancy and preeclampsia studies (9 papers), Gestational Diabetes Research and Management (9 papers), Birth, Development, and Health (9 papers), Liver Disease Diagnosis and Treatment (7 papers) and Hydrology and Drought Analysis (7 papers). The work is most often cited by research in Geriatrics and Gerontology (155 citations), Microbiology (26 citations), Neurology (171 citations), Obstetrics and Gynecology (109 citations) and Developmental Neuroscience (57 citations). Suping Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Armando P. Signore, Feng Zhang, Jun Chen, Jun Chen, Yanqin Gao, Feng Zhang, Peter S. Vosler, Yongliang Feng, Yumin Luo and Michael J. Zigmond. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Expert Review of Vaccines, Dyes and Pigments, Medicine and Human Vaccines & Immunotherapeutics.
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.