Feiya Wang
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Congenital heart defects research 3
- Renal and related cancers 3
- Angiogenesis and VEGF in Cancer 3
-
- Neonatal Respiratory Health Research 8
- Co-authors
- Andrzej Bartke (12 shared papers)Jeffrey S. Schechner (4 shared papers)Michał M. Masternak (9 shared papers)Ravneet K. Boparai (4 shared papers)Adam Spong (4 shared papers)Jordan S. Pober (2 shared papers)Yimin Fang (4 shared papers)Junke Jiao (3 shared papers)
- Journals
- Cell stem cell (3 papers)Stem Cell Reports (3 papers)The Journals of Gerontology Series A (2 papers)Dermatologic Surgery (2 papers)Aging Cell (2 papers)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Feiya Wang
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Aging 106
- Endocrinology, Diabetes and Metabolism 208
- Endocrine and Autonomic Systems 78
- Physiology 280
- Biomaterials 112
Countries citing papers authored by Feiya Wang
This map shows the geographic impact of Feiya 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 Feiya Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiya Wang more than expected).
Fields of papers citing papers by Feiya Wang
This network shows the impact of papers produced by Feiya 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 Feiya Wang. The network helps show where Feiya Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feiya 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 157 | |
| 2 | 2014 | 131 | |
| 3 | 2006 | 121 | |
| 4 | 2011 | 94 | |
| 5 | 2016 | 76 | |
| 6 | 2003 | 73 | |
| 7 | 2018 | 41 | |
| 8 | 2024 | 41 | |
| 9 | 2009 | 36 | |
| 10 | 2008 | 36 | |
| 11 | 2014 | 28 | |
| 12 | 2023 | 28 | |
| 13 | 2023 | 25 | |
| 14 | 2022 | 23 | |
| 15 | 2015 | 23 | |
| 16 | 2015 | 21 | |
| 17 | 2023 | 18 | |
| 18 | 2014 | 17 | |
| 19 | 2011 | 17 | |
| 20 | 2011 | 16 |
About Feiya Wang
Feiya Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (8 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Pancreatic function and diabetes (4 papers), Welding Techniques and Residual Stresses (3 papers), Congenital heart defects research (3 papers), Renal and related cancers (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Aging (106 citations), Endocrinology, Diabetes and Metabolism (208 citations), Endocrine and Autonomic Systems (78 citations), Physiology (280 citations) and Biomaterials (112 citations). Feiya Wang has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Andrzej Bartke, Jeffrey S. Schechner, Michał M. Masternak, Ravneet K. Boparai, Adam Spong, Jordan S. Pober, Yimin Fang, Junke Jiao, Liou Y. Sun and John J. Kopchick. Their work appears in journals such as Cell stem cell, Stem Cell Reports, The Journals of Gerontology Series A, Dermatologic Surgery and Aging Cell.
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.