Ke Ma
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
Papers in
- Physiology 21
- Adipose Tissue and Metabolism 12
- Dietary Effects on Health 6
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- Muscle Physiology and Disorders 6
- Co-authors
- David D. Moore (4 shared papers)Vijay Yechoor (17 shared papers)Jeongkyung Lee (10 shared papers)Lawrence Chan (3 shared papers)Somik Chatterjee (9 shared papers)Wendong Huang (2 shared papers)Jun Zhang (1 shared paper)Mohammed Qatanani (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Scientific Reports (3 papers)Journal of Cell Science (3 papers)Experimental Cell Research (3 papers)The FASEB Journal (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Ke Ma
53 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Aging 220
- Endocrine and Autonomic Systems 768
- Physiology 1.1k
- Hepatology 288
- Oncology 757
Countries citing papers authored by Ke Ma
This map shows the geographic impact of Ke Ma'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 Ke Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Ma more than expected).
Fields of papers citing papers by Ke Ma
This network shows the impact of papers produced by Ke Ma. 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 Ke Ma. The network helps show where Ke Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Ma, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Farnesoid X receptor is essential for normal glucose homeostasis Hit paper breakdown → | 2006 | 712 |
| 2 | Nuclear Receptor-Dependent Bile Acid Signaling Is Required for Normal Liver Regeneration Hit paper breakdown → | 2006 | 501 |
| 3 | 2002 | 247 | |
| 4 | 2003 | 187 | |
| 5 | 2013 | 172 | |
| 6 | 2006 | 137 | |
| 7 | 2012 | 137 | |
| 8 | 2009 | 102 | |
| 9 | 2011 | 97 | |
| 10 | 2004 | 84 | |
| 11 | 2013 | 80 | |
| 12 | 1998 | 71 | |
| 13 | 2019 | 67 | |
| 14 | 2015 | 62 | |
| 15 | 2005 | 52 | |
| 16 | 2014 | 51 | |
| 17 | 2022 | 50 | |
| 18 | 2004 | 41 | |
| 19 | 2005 | 40 | |
| 20 | 2015 | 39 |
About Ke Ma
Ke Ma is a scholar working on Physiology, Molecular Biology, Endocrine and Autonomic Systems, Aging and Surgery, having authored 60 papers that have together received 3.4k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (18 papers), Adipose Tissue and Metabolism (12 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers), Dietary Effects on Health (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Muscle Physiology and Disorders (6 papers), Endometrial and Cervical Cancer Treatments (4 papers) and Gynecological conditions and treatments (3 papers). The work is most often cited by research in Aging (220 citations), Endocrine and Autonomic Systems (768 citations), Physiology (1.1k citations), Hepatology (288 citations) and Oncology (757 citations). Ke Ma has collaborated with scholars based in United States, China and Australia. Frequent co-authors include David D. Moore, Vijay Yechoor, Jeongkyung Lee, Lawrence Chan, Somik Chatterjee, Wendong Huang, Jun Zhang, Mohammed Qatanani, Xiongfei Huang and Jun Liu. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Journal of Cell Science, Experimental Cell Research and The FASEB Journal.
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.