Nathan Qi
Impact in
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
- Physiology top 2%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
- Physiology 29
- Adipose Tissue and Metabolism 26
- Diet and metabolism studies 5
- Co-authors
- Charles Burant (9 shared papers)Lauren G. Koch (13 shared papers)Michal Pravenec (8 shared papers)Steven L. Britton (12 shared papers)Katherine A. Overmyer (3 shared papers)Theodore W. Kurtz (7 shared papers)Ludmila Kazdová (6 shared papers)Charles R. Evans (2 shared papers)
- Journals
- Hypertension (4 papers)Endocrinology (4 papers)Molecular Metabolism (4 papers)PLoS ONE (3 papers)Diabetes (2 papers)
- Partner nations
- United StatesUnited KingdomCzechia
In The Last Decade
Nathan Qi
50 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 107
- Geriatrics and Gerontology 179
- Physiology 936
- Endocrine and Autonomic Systems 171
- Aging 43
- Epidemiology 511
Countries citing papers authored by Nathan Qi
This map shows the geographic impact of Nathan Qi'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 Nathan Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Qi more than expected).
Fields of papers citing papers by Nathan Qi
This network shows the impact of papers produced by Nathan Qi. 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 Nathan Qi. The network helps show where Nathan Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Qi, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 289 | |
| 2 | 2016 | 169 | |
| 3 | 2015 | 152 | |
| 4 | 2011 | 141 | |
| 5 | 2009 | 135 | |
| 6 | 2006 | 133 | |
| 7 | 2015 | 107 | |
| 8 | 2012 | 102 | |
| 9 | 2013 | 87 | |
| 10 | 2012 | 86 | |
| 11 | 2013 | 68 | |
| 12 | 2019 | 68 | |
| 13 | 2007 | 64 | |
| 14 | 2018 | 57 | |
| 15 | 2003 | 48 | |
| 16 | 2014 | 43 | |
| 17 | 2014 | 42 | |
| 18 | 2015 | 40 | |
| 19 | 2017 | 40 | |
| 20 | 2018 | 36 |
About Nathan Qi
Nathan Qi is a scholar working on Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Geriatrics and Gerontology and Epidemiology, having authored 51 papers that have together received 2.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (26 papers), Sirtuins and Resveratrol in Medicine (7 papers), Genetics and Physical Performance (5 papers), Diet and metabolism studies (5 papers), Muscle metabolism and nutrition (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Regulation of Appetite and Obesity (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Geriatrics and Gerontology (179 citations), Physiology (936 citations), Endocrine and Autonomic Systems (171 citations), Aging (43 citations) and Epidemiology (511 citations). Nathan Qi has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Charles Burant, Lauren G. Koch, Michal Pravenec, Steven L. Britton, Katherine A. Overmyer, Theodore W. Kurtz, Ludmila Kazdová, Charles R. Evans, Ken Sugimoto and Jun Yoshino. Their work appears in journals such as Hypertension, Endocrinology, Molecular Metabolism, PLoS ONE and Diabetes.
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.