Chris Li
Impact in
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
Papers in
- Aging 22
- Genetics, Aging, and Longevity in Model Organisms 22
-
- Circadian rhythm and melatonin 12
- Co-authors
- Kyuhyung Kim (10 shared papers)Collin Y. Ewald (5 shared papers)Anne C. Hart (2 shared papers)Heather Chatwin (1 shared paper)Peter D. Evans (1 shared paper)Candida Rogers (1 shared paper)Vincenzina Reale (1 shared paper)Mario de Bono (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)PLoS ONE (2 papers)Developmental Biology (2 papers)Journal of Hepatology (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Chris Li
51 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 138
- Aging 1.2k
- Endocrine and Autonomic Systems 738
- Cellular and Molecular Neuroscience 568
- Physiology 464
- Biological Psychiatry 42
Countries citing papers authored by Chris Li
This map shows the geographic impact of Chris Li'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 Chris Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Li more than expected).
Fields of papers citing papers by Chris Li
This network shows the impact of papers produced by Chris Li. 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 Chris Li. The network helps show where Chris Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Li, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 256 | |
| 2 | 2014 | 240 | |
| 3 | 2003 | 209 | |
| 4 | 1999 | 192 | |
| 5 | 2008 | 161 | |
| 6 | 1998 | 149 | |
| 7 | 1999 | 145 | |
| 8 | 2007 | 120 | |
| 9 | 2018 | 87 | |
| 10 | 2008 | 84 | |
| 11 | 2010 | 76 | |
| 12 | 2011 | 73 | |
| 13 | 2002 | 64 | |
| 14 | 2007 | 62 | |
| 15 | 2009 | 54 | |
| 16 | 2014 | 46 | |
| 17 | 2017 | 39 | |
| 18 | 2013 | 37 | |
| 19 | 2005 | 34 | |
| 20 | Life Cycle Assessment | 2013 | 34 |
About Chris Li
Chris Li is a scholar working on Aging, Endocrine and Autonomic Systems, Epidemiology, Molecular Biology and Physiology, having authored 55 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (22 papers), Circadian rhythm and melatonin (12 papers), Neurobiology and Insect Physiology Research (7 papers), Hepatitis B Virus Studies (6 papers), Alzheimer's disease research and treatments (6 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Hepatitis C virus research (3 papers) and Inertial Sensor and Navigation (3 papers). The work is most often cited by research in Aging (1.2k citations), Endocrine and Autonomic Systems (738 citations), Cellular and Molecular Neuroscience (568 citations), Physiology (464 citations) and Biological Psychiatry (42 citations). Chris Li has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Kyuhyung Kim, Collin Y. Ewald, Anne C. Hart, Heather Chatwin, Peter D. Evans, Candida Rogers, Vincenzina Reale, Mario de Bono, Ryusuke Niwa and Feng Zhou. Their work appears in journals such as Journal of Neuroscience, PLoS ONE, Developmental Biology, Journal of Hepatology and PLoS Genetics.
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.