Cun Li
Impact in
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
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- Birth, Development, and Health
Papers in
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- Birth, Development, and Health 46
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- Pregnancy and preeclampsia studies 17
- Gestational Diabetes Research and Management 7
- Co-authors
- Peter W. Nathanielsz (62 shared papers)Thomas J. McDonald (11 shared papers)Laura A. Cox (18 shared papers)Jianzhong Shen (6 shared papers)Hillary F. Huber (21 shared papers)Mark J. Nijland (9 shared papers)Haiyang Jiang (4 shared papers)Geoffrey D. Clarke (10 shared papers)
- Journals
- Journal of Medical Primatology (11 papers)The Journal of Physiology (8 papers)GeroScience (4 papers)Journal of Chromatography B (4 papers)Reproductive Sciences (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Cun Li
95 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 116
- Obstetrics and Gynecology 353
- Pediatrics, Perinatology and Child Health 835
- Behavioral Neuroscience 89
- Aging 33
- Pharmacology 259
Countries citing papers authored by Cun Li
This map shows the geographic impact of Cun 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 Cun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cun Li more than expected).
Fields of papers citing papers by Cun Li
This network shows the impact of papers produced by Cun 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 Cun Li. The network helps show where Cun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Cun 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 122 | |
| 2 | 2011 | 101 | |
| 3 | 2010 | 93 | |
| 4 | 2007 | 65 | |
| 5 | 2008 | 61 | |
| 6 | 1999 | 61 | |
| 7 | 2011 | 58 | |
| 8 | 2016 | 55 | |
| 9 | 2007 | 54 | |
| 10 | 2009 | 50 | |
| 11 | 2018 | 47 | |
| 12 | 2013 | 47 | |
| 13 | 2012 | 44 | |
| 14 | 2009 | 44 | |
| 15 | 2013 | 37 | |
| 16 | 2017 | 36 | |
| 17 | 2017 | 35 | |
| 18 | 2006 | 35 | |
| 19 | 2015 | 29 | |
| 20 | 2003 | 26 |
About Cun Li
Cun Li is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Molecular Biology, Pulmonary and Respiratory Medicine and Physiology, having authored 99 papers that have together received 1.7k indexed citations. Recurring topics across this work include Birth, Development, and Health (46 papers), Pregnancy and preeclampsia studies (17 papers), Neonatal Respiratory Health Research (12 papers), Diet and metabolism studies (9 papers), Infant Nutrition and Health (8 papers), Gestational Diabetes Research and Management (7 papers), Stress Responses and Cortisol (7 papers) and Antibiotics Pharmacokinetics and Efficacy (7 papers). The work is most often cited by research in Obstetrics and Gynecology (353 citations), Pediatrics, Perinatology and Child Health (835 citations), Behavioral Neuroscience (89 citations), Aging (33 citations) and Pharmacology (259 citations). Cun Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Peter W. Nathanielsz, Thomas J. McDonald, Laura A. Cox, Jianzhong Shen, Hillary F. Huber, Mark J. Nijland, Haiyang Jiang, Geoffrey D. Clarke, Anderson H. Kuo and Shuangyang Ding. Their work appears in journals such as Journal of Medical Primatology, The Journal of Physiology, GeroScience, Journal of Chromatography B and Reproductive Sciences.
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.