Fengxia Ge
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
- Physiology top 10%
- Alzheimer's disease research and treatments
- Adipose Tissue and Metabolism
Papers in
-
- Prion Diseases and Protein Misfolding 4
- Amyloidosis: Diagnosis, Treatment, Outcomes 3
-
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Paul D. Berk (8 shared papers)José L. Walewski (5 shared papers)Shengli Zhou (6 shared papers)Chunguang Hu (5 shared papers)Gary J. Schwartz (1 shared paper)Joseph R. Vasselli (1 shared paper)Gregory Dakin (2 shared papers)Hiroshi Tomozawa (4 shared papers)
- Journals
- Obesity (2 papers)Experimental Biology and Medicine (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)American Journal Of Pathology (1 paper)Laboratory Investigation (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Fengxia Ge
12 papers receiving 560 citations
Peers
Comparison fields: 5 of 77
- Endocrine and Autonomic Systems 90
- Physiology 171
- Neurology 48
- Reproductive Medicine 44
- Behavioral Neuroscience 17
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 | 170 | |
| 2 | 2008 | 98 | |
| 3 | 2010 | 52 | |
| 4 | 2009 | 52 | |
| 5 | 2011 | 51 | |
| 6 | 2007 | 46 | |
| 7 | 2013 | 37 | |
| 8 | 2007 | 22 | |
| 9 | 2010 | 17 | |
| 10 | 2015 | 10 | |
| 11 | 2010 | 9 | |
| 12 | 2008 | 1 |
About Fengxia Ge
Fengxia Ge is a scholar working on Molecular Biology, Epidemiology, Physiology, Nutrition and Dietetics and Surgery, having authored 12 papers that have together received 565 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Trace Elements in Health (3 papers), Adipose Tissue and Metabolism (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Cardiovascular Function and Risk Factors (2 papers), Diet and metabolism studies (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (90 citations), Physiology (171 citations), Neurology (48 citations), Reproductive Medicine (44 citations) and Behavioral Neuroscience (17 citations). Fengxia Ge has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Paul D. Berk, José L. Walewski, Shengli Zhou, Chunguang Hu, Gary J. Schwartz, Joseph R. Vasselli, Gregory Dakin, Hiroshi Tomozawa, Jingmin Yan and Beiru Zhang. Their work appears in journals such as Obesity, Experimental Biology and Medicine, Journal of Molecular and Cellular Cardiology, American Journal Of Pathology and Laboratory Investigation.
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.