Cuilan Nian
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
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- Regulation of Appetite and Obesity
Papers in
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- Diabetes Treatment and Management 10
- Surgery 22
- Pancreatic function and diabetes 22
- Co-authors
- Christopher H.S. McIntosh (21 shared papers)Su‐jin Kim (5 shared papers)Sujin Kim (3 shared papers)Doris J. Doudet (4 shared papers)Francis Christopher Lynn (14 shared papers)Scott B. Widenmaier (3 shared papers)Makoto Tsuneoka (1 shared paper)Sujin Kim (1 shared paper)
- Journals
- Diabetes (9 papers)Journal of Biological Chemistry (6 papers)PLoS ONE (3 papers)Endocrinology (2 papers)Journal of Lipid Research (2 papers)
- Partner nations
- CanadaRussiaUnited States
In The Last Decade
Cuilan Nian
35 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 1.1k
- Endocrine and Autonomic Systems 159
- Surgery 804
- Cellular and Molecular Neuroscience 353
- Pharmacology 198
Countries citing papers authored by Cuilan Nian
This map shows the geographic impact of Cuilan Nian'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 Cuilan Nian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuilan Nian more than expected).
Fields of papers citing papers by Cuilan Nian
This network shows the impact of papers produced by Cuilan Nian. 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 Cuilan Nian. The network helps show where Cuilan Nian may publish in the future.
Co-authors
The 25 scholars most cited alongside Cuilan Nian, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 222 | |
| 2 | 2007 | 186 | |
| 3 | 2012 | 165 | |
| 4 | 2007 | 124 | |
| 5 | 2010 | 116 | |
| 6 | 2002 | 112 | |
| 7 | 2007 | 100 | |
| 8 | 2008 | 98 | |
| 9 | 2010 | 93 | |
| 10 | 2008 | 79 | |
| 11 | 2017 | 75 | |
| 12 | 2006 | 60 | |
| 13 | 1999 | 60 | |
| 14 | 1996 | 55 | |
| 15 | 2011 | 51 | |
| 16 | 2010 | 45 | |
| 17 | 1997 | 44 | |
| 18 | 2011 | 37 | |
| 19 | 2013 | 36 | |
| 20 | 2014 | 32 |
About Cuilan Nian
Cuilan Nian is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Metabolism, Diabetes, and Cancer (12 papers), Diabetes Treatment and Management (10 papers), Diabetes and associated disorders (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Adipose Tissue and Metabolism (4 papers), Neuropeptides and Animal Physiology (4 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Endocrine and Autonomic Systems (159 citations), Surgery (804 citations), Cellular and Molecular Neuroscience (353 citations) and Pharmacology (198 citations). Cuilan Nian has collaborated with scholars based in Canada, Russia and United States. Frequent co-authors include Christopher H.S. McIntosh, Su‐jin Kim, Sujin Kim, Sujin Kim, Doris J. Doudet, Francis Christopher Lynn, Scott B. Widenmaier, Makoto Tsuneoka, Sujin Kim and Yoshiro Koda. Their work appears in journals such as Diabetes, Journal of Biological Chemistry, PLoS ONE, Endocrinology and Journal of Lipid Research.
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.