Ping An
Impact in
-
- Cardiovascular and exercise physiology
-
- Sports Performance and Training
Papers in
- Genetics 23
- Genetic Associations and Epidemiology 14
- Genetics and Physical Performance 11
- Physiology 10
- Adipose Tissue and Metabolism 5
- Physical Activity and Health 4
- Co-authors
- Claude Bouchard (12 shared papers)James S. Skinner (11 shared papers)Jack H. Wilmore (11 shared papers)Treva Rice (9 shared papers)D. C. Rao (5 shared papers)Louis Përusse (5 shared papers)Arthur S. Leon (8 shared papers)Jacques Gagnon (2 shared papers)
- Journals
- Metabolism (3 papers)Genetic Epidemiology (3 papers)International Journal of Sports Medicine (3 papers)American Journal of Human Biology (2 papers)Obesity (2 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Ping An
33 papers receiving 1.5k citations
Ping An's Hit Papers
Peers
Comparison fields: 5 of 96
- Complementary and alternative medicine 312
- Orthopedics and Sports Medicine 272
- Genetics 669
- Physiology 555
- Cardiology and Cardiovascular Medicine 351
Countries citing papers authored by Ping An
This map shows the geographic impact of Ping An'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 Ping An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping An more than expected).
Fields of papers citing papers by Ping An
This network shows the impact of papers produced by Ping An. 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 Ping An. The network helps show where Ping An may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping An, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Familial aggregation ofV˙ Hit paper breakdown → | 1999 | 646 |
| 2 | 2000 | 133 | |
| 3 | 2010 | 100 | |
| 4 | 2009 | 75 | |
| 5 | 2005 | 55 | |
| 6 | 2003 | 48 | |
| 7 | 2005 | 45 | |
| 8 | 2002 | 30 | |
| 9 | 2010 | 29 | |
| 10 | 2009 | 29 | |
| 11 | 2013 | 29 | |
| 12 | 2009 | 28 | |
| 13 | 2003 | 24 | |
| 14 | 2007 | 24 | |
| 15 | 2018 | 21 | |
| 16 | 2012 | 19 | |
| 17 | 2017 | 19 | |
| 18 | 2009 | 16 | |
| 19 | 2003 | 16 | |
| 20 | 2013 | 16 |
About Ping An
Ping An is a scholar working on Genetics, Physiology, Molecular Biology, Surgery and Epidemiology, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (14 papers), Genetics and Physical Performance (11 papers), Epigenetics and DNA Methylation (5 papers), Adipose Tissue and Metabolism (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Muscle metabolism and nutrition (4 papers), Physical Activity and Health (4 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Complementary and alternative medicine (312 citations), Orthopedics and Sports Medicine (272 citations), Genetics (669 citations), Physiology (555 citations) and Cardiology and Cardiovascular Medicine (351 citations). Ping An has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Claude Bouchard, James S. Skinner, Jack H. Wilmore, Treva Rice, D. C. Rao, Louis Përusse, Arthur S. Leon, Jacques Gagnon, Michael A. Province and Ingrid B. Borecki. Their work appears in journals such as Metabolism, Genetic Epidemiology, International Journal of Sports Medicine, American Journal of Human Biology 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.