Guan Wang
Impact in
-
- Sports Performance and Training
- Genetics top 5%
- Genetics and Physical Performance
Papers in
- Genetics 23
- Genetics and Physical Performance 17
- Genetic Associations and Epidemiology 3
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- Epigenetics and DNA Methylation 3
- Co-authors
- Yannis Pitsiladis (34 shared papers)Luigi Di Luigi (2 shared papers)Daniela Caporossi (1 shared paper)Elisa Grazioli (1 shared paper)Neri Mercatelli (1 shared paper)Ivan Dimauro (1 shared paper)Noriyuki Fuku (7 shared papers)Nir Eynon (4 shared papers)
- Journals
- BMC Genomics (5 papers)British Journal of Sports Medicine (2 papers)Clinical Journal of Sport Medicine (2 papers)Medicine and sport science/Medicine and sport (2 papers)Obesity (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Guan Wang
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Orthopedics and Sports Medicine 206
- Genetics 369
- Cell Biology 163
- Cardiology and Cardiovascular Medicine 169
- Physiology 195
Countries citing papers authored by Guan Wang
This map shows the geographic impact of Guan 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 Guan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guan Wang more than expected).
Fields of papers citing papers by Guan Wang
This network shows the impact of papers produced by Guan 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 Guan Wang. The network helps show where Guan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guan 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 153 | |
| 2 | 2017 | 128 | |
| 3 | 2013 | 86 | |
| 4 | 2014 | 63 | |
| 5 | 2020 | 57 | |
| 6 | 2022 | 52 | |
| 7 | 2015 | 46 | |
| 8 | 2011 | 42 | |
| 9 | 2008 | 41 | |
| 10 | 2013 | 41 | |
| 11 | 2017 | 37 | |
| 12 | 2017 | 37 | |
| 13 | 2016 | 35 | |
| 14 | 2016 | 32 | |
| 15 | 2017 | 32 | |
| 16 | 2017 | 27 | |
| 17 | 2021 | 24 | |
| 18 | 2016 | 22 | |
| 19 | 2016 | 22 | |
| 20 | 2018 | 19 |
About Guan Wang
Guan Wang is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Orthopedics and Sports Medicine and Hematology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics and Physical Performance (17 papers), Sports Performance and Training (8 papers), Muscle metabolism and nutrition (7 papers), Cardiovascular Effects of Exercise (7 papers), Hormonal and reproductive studies (6 papers), Erythropoietin and Anemia Treatment (5 papers), Epigenetics and DNA Methylation (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (206 citations), Genetics (369 citations), Cell Biology (163 citations), Cardiology and Cardiovascular Medicine (169 citations) and Physiology (195 citations). Guan Wang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Yannis Pitsiladis, Luigi Di Luigi, Daniela Caporossi, Elisa Grazioli, Neri Mercatelli, Ivan Dimauro, Noriyuki Fuku, Nir Eynon, Bernd Wolfarth and Robert A. Scott. Their work appears in journals such as BMC Genomics, British Journal of Sports Medicine, Clinical Journal of Sport Medicine, Medicine and sport science/Medicine and sport and Obesity.
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.