Xia Lei
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
- Epidemiology 21
- Adipokines, Inflammation, and Metabolic Diseases 18
- Physiology 18
- Adipose Tissue and Metabolism 18
- Co-authors
- G. William Wong (25 shared papers)Zhikui Wei (5 shared papers)Pia S. Petersen (7 shared papers)Stefanie Y. Tan (9 shared papers)Marcus Seldin (7 shared papers)Hannah C. Little (8 shared papers)Susana Rodriguez (11 shared papers)Jonathan M. Peterson (2 shared papers)
- Journals
- American Journal of Physiology-Endocrinology and Metabolism (9 papers)Journal of Biological Chemistry (8 papers)The FASEB Journal (3 papers)Toxicology in Vitro (1 paper)Life (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Xia Lei
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Physiology 516
- Epidemiology 552
- Endocrine and Autonomic Systems 103
- Rehabilitation 70
- Cardiology and Cardiovascular Medicine 194
Countries citing papers authored by Xia Lei
This map shows the geographic impact of Xia Lei'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 Xia Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Lei more than expected).
Fields of papers citing papers by Xia Lei
This network shows the impact of papers produced by Xia Lei. 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 Xia Lei. The network helps show where Xia Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Lei, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 133 | |
| 2 | 2009 | 101 | |
| 3 | 2014 | 99 | |
| 4 | 2013 | 89 | |
| 5 | 2015 | 81 | |
| 6 | 2017 | 77 | |
| 7 | 2010 | 77 | |
| 8 | 2016 | 68 | |
| 9 | 2019 | 63 | |
| 10 | 2008 | 56 | |
| 11 | 2013 | 55 | |
| 12 | 2017 | 47 | |
| 13 | 2016 | 47 | |
| 14 | 2015 | 44 | |
| 15 | 2012 | 44 | |
| 16 | 2016 | 37 | |
| 17 | 2015 | 33 | |
| 18 | 2018 | 32 | |
| 19 | 2008 | 32 | |
| 20 | 2012 | 26 |
About Xia Lei
Xia Lei is a scholar working on Epidemiology, Physiology, Endocrine and Autonomic Systems, Molecular Biology and Surgery, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (18 papers), Adipokines, Inflammation, and Metabolic Diseases (18 papers), Regulation of Appetite and Obesity (9 papers), Pancreatic function and diabetes (3 papers), Liver physiology and pathology (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Receptor Mechanisms and Signaling (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Physiology (516 citations), Epidemiology (552 citations), Endocrine and Autonomic Systems (103 citations), Rehabilitation (70 citations) and Cardiology and Cardiovascular Medicine (194 citations). Xia Lei has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include G. William Wong, Zhikui Wei, Pia S. Petersen, Stefanie Y. Tan, Marcus Seldin, Hannah C. Little, Susana Rodriguez, Jonathan M. Peterson, Michael J. Wolfgang and Risa M. Wolf. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Journal of Biological Chemistry, The FASEB Journal, Toxicology in Vitro and Life.
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.