Fengxia Ge
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
- Reproductive Medicine top 10%
- Hypothalamic control of reproductive hormones
Papers in ⓘ
-
- Adipose Tissue and Metabolism 5
- Diet and metabolism studies 2
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- Liver Disease Diagnosis and Treatment 3
- Adipokines, Inflammation, and Metabolic Diseases 2
- Co-authors
- Paul D. Berk (8 shared papers)José L. Walewski (5 shared papers)Shengli Zhou (6 shared papers)Chunguang Hu (5 shared papers)Nathan W. Levin (1 shared paper)Gregory Dakin (2 shared papers)Gary J. Schwartz (1 shared paper)Joseph R. Vasselli (1 shared paper)
- Journals
- Obesity (2 papers)Obesity Surgery (1 paper)Journal of Obesity (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)Experimental Biology and Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Fengxia Ge
8 papers receiving 372 citations
Peers
Comparison fields: 5 of 63
- Endocrine and Autonomic Systems 105
- Reproductive Medicine 51
- Behavioral Neuroscience 21
- Physiology 117
- Cellular and Molecular Neuroscience 66
Countries citing papers authored by Fengxia Ge
This map shows the geographic impact of Fengxia Ge'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 Fengxia Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengxia Ge more than expected).
Fields of papers citing papers by Fengxia Ge
This network shows the impact of papers produced by Fengxia Ge. 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 Fengxia Ge. The network helps show where Fengxia Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengxia Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 168 | |
| 2 | 2009 | 51 | |
| 3 | 2010 | 48 | |
| 4 | 2011 | 48 | |
| 5 | 2013 | 33 | |
| 6 | 2010 | 16 | |
| 7 | 2015 | 9 | |
| 8 | 2008 | 1 |
About Fengxia Ge
Fengxia Ge is a scholar working on Physiology, Epidemiology, Cardiology and Cardiovascular Medicine, Surgery and Biochemistry, having authored 8 papers that have together received 374 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Diet and metabolism studies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Cardiovascular Function and Risk Factors (2 papers), Cardiovascular Disease and Adiposity (2 papers), Lipid metabolism and biosynthesis (2 papers) and Bariatric Surgery and Outcomes (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (105 citations), Reproductive Medicine (51 citations), Behavioral Neuroscience (21 citations), Physiology (117 citations) and Cellular and Molecular Neuroscience (66 citations). Fengxia Ge has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Paul D. Berk, José L. Walewski, Shengli Zhou, Chunguang Hu, Nathan W. Levin, Gregory Dakin, Gary J. Schwartz, Joseph R. Vasselli, Alfons Pomp and William B. Inabnet. Their work appears in journals such as Obesity, Obesity Surgery, Journal of Obesity, Journal of Molecular and Cellular Cardiology and Experimental Biology and Medicine.
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.