Haiyan Wang
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
- Physiology 33
- Adipose Tissue and Metabolism 18
- Diet and metabolism studies 7
-
- Metabolism, Diabetes, and Cancer 14
- Muscle Physiology and Disorders 5
- Co-authors
- Gregory D. Cartee (18 shared papers)Edward B. Arias (17 shared papers)Lizhu Wang (2 shared papers)Hai-chang Huang (2 shared papers)Jingzi Li (2 shared papers)Mark W. Pataky (5 shared papers)Yi‐Tao Long (1 shared paper)Zhen Gu (1 shared paper)
- Journals
- American Journal of Physiology-Endocrinology and Metabolism (5 papers)Medicine (3 papers)Scientific Reports (3 papers)PLoS ONE (2 papers)The Journals of Gerontology Series A (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Haiyan Wang
94 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 129
- Nephrology 128
- Physiology 242
- Biological Psychiatry 18
- Aging 13
- Molecular Biology 458
Countries citing papers authored by Haiyan Wang
This map shows the geographic impact of Haiyan 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 Haiyan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyan Wang more than expected).
Fields of papers citing papers by Haiyan Wang
This network shows the impact of papers produced by Haiyan 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 Haiyan Wang. The network helps show where Haiyan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiyan 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 75 | |
| 2 | 2018 | 67 | |
| 3 | 2013 | 62 | |
| 4 | 2021 | 58 | |
| 5 | 2006 | 57 | |
| 6 | 2002 | 50 | |
| 7 | 2007 | 45 | |
| 8 | 2013 | 39 | |
| 9 | 2005 | 35 | |
| 10 | 2017 | 32 | |
| 11 | 2013 | 32 | |
| 12 | 2019 | 30 | |
| 13 | 2004 | 30 | |
| 14 | 2011 | 27 | |
| 15 | 2022 | 26 | |
| 16 | 2019 | 24 | |
| 17 | 2018 | 22 | |
| 18 | 2015 | 22 | |
| 19 | 2019 | 21 | |
| 20 | 2015 | 21 |
About Haiyan Wang
Haiyan Wang is a scholar working on Physiology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Reproductive Medicine, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (18 papers), Metabolism, Diabetes, and Cancer (14 papers), Diet and metabolism studies (7 papers), Ovarian function and disorders (7 papers), Pancreatic function and diabetes (6 papers), Muscle Physiology and Disorders (5 papers), Muscle metabolism and nutrition (4 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Nephrology (128 citations), Physiology (242 citations), Biological Psychiatry (18 citations), Aging (13 citations) and Molecular Biology (458 citations). Haiyan Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gregory D. Cartee, Edward B. Arias, Lizhu Wang, Hai-chang Huang, Jingzi Li, Mark W. Pataky, Yi‐Tao Long, Zhen Gu, Jian Wang and Chan Cao. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Medicine, Scientific Reports, PLoS ONE and The Journals of Gerontology Series A.
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.