Xiaotuan Liu
- Physiology top 5%
- Adipose Tissue and Metabolism 11
- Diet and metabolism studies 2
- Rehabilitation top 5%
- Aging top 10%
- Biochemistry top 10%
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- Physiological and biochemical adaptations 4
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- Muscle metabolism and nutrition 4
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- Mitochondrial Function and Pathology 4
- Peroxisome Proliferator-Activated Receptors 1
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- Bat Biology and Ecology Studies 2
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- Sirtuins and Resveratrol in Medicine 1
- Co-authors
- Leslie P. KozakMartin RossmeislJennifer W. McClaineMary‐Ellen HarperWolfgang HofmannRuyong SunQingfen LiChenxi Huang
- Journals
- Journal of Clinical Investigation (3 papers)Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology (3 papers)Diabetes (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiaotuan Liu
12 papers receiving 867 citations
Peers
Comparison fields: 5 of 57
- Physiology 745
- Endocrine and Autonomic Systems 153
- Rehabilitation 138
- Aging 20
- Biochemistry 82
Countries citing papers authored by Xiaotuan Liu
This map shows the geographic impact of Xiaotuan Liu'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 Xiaotuan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaotuan Liu more than expected).
Fields of papers citing papers by Xiaotuan Liu
This network shows the impact of papers produced by Xiaotuan Liu. 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 Xiaotuan Liu. The network helps show where Xiaotuan Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaotuan Liu, 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 | 2009 | 39 | |
| 2 | 2004 | 18 | |
| 3 | 2003 | 248 | |
| 4 | 2003 | 251 | |
| 5 | 2003 | 3 | |
| 6 | 2003 | 54 | |
| 7 | THERMOGENIC CAPACITY AND EXPRESSION OF UNCOUPLING PROTEIN GENE OF BROWN ADIPOSE TISSUE FROM MONGOLIAN GERBILS (MERIONES UNGUICULATUS) DURING COLD ACCLIMATION | 2001 | 4 |
| 8 | 2001 | 117 | |
| 9 | 2001 | 9 | |
| 10 | 2001 | 107 | |
| 11 | 1998 | 9 | |
| 12 | 1997 | 15 |
About Xiaotuan Liu
Xiaotuan Liu is a scholar working on Aging, Physiology and Geriatrics and Gerontology, having authored 12 papers that have together received 874 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Physiological and biochemical adaptations (4 papers), Muscle metabolism and nutrition (4 papers), Mitochondrial Function and Pathology (4 papers), Diet and metabolism studies (2 papers), Bat Biology and Ecology Studies (2 papers), Sirtuins and Resveratrol in Medicine (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Physiology (745 citations), Endocrine and Autonomic Systems (153 citations) and Rehabilitation (138 citations). Xiaotuan Liu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Leslie P. Kozak, Martin Rossmeisl, Jennifer W. McClaine, Mary‐Ellen Harper, Wolfgang Hofmann, Ruyong Sun, Qingfen Li, Chenxi Huang, Liquan Cai and Robert A. Koza. Their work appears in journals such as Journal of Clinical Investigation, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, Diabetes, Journal of Biological Chemistry and Physiological Genomics.
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.