Ning Li
Impact in
- Molecular Medicine top 5%
Papers in
- Physiology 34
- Adipose Tissue and Metabolism 13
- Co-authors
- Pierre Maechler (9 shared papers)Ruodan Xu (18 shared papers)Thierry Brun (6 shared papers)Mingfei Shi (7 shared papers)Francesca Frigerio (2 shared papers)Ping Song (6 shared papers)Junshi Chen (2 shared papers)Chi Han (2 shared papers)
- Journals
- PLoS ONE (6 papers)Frontiers in Oncology (5 papers)Frontiers in Bioengineering and Biotechnology (3 papers)Frontiers in Pharmacology (3 papers)American Journal of Clinical Pathology (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ning Li
193 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 155
- Molecular Medicine 126
- Endocrinology, Diabetes and Metabolism 391
- Infectious Diseases 435
- Geriatrics and Gerontology 77
- Physiology 583
Countries citing papers authored by Ning Li
This map shows the geographic impact of Ning 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 Ning Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Li more than expected).
Fields of papers citing papers by Ning Li
This network shows the impact of papers produced by Ning 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 Ning Li. The network helps show where Ning Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning 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 202 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 220 | |
| 2 | 2013 | 204 | |
| 3 | 2012 | 197 | |
| 4 | 2002 | 179 | |
| 5 | 2020 | 128 | |
| 6 | 2014 | 117 | |
| 7 | 2012 | 98 | |
| 8 | 1997 | 98 | |
| 9 | 2008 | 97 | |
| 10 | 2023 | 94 | |
| 11 | 2018 | 92 | |
| 12 | 2018 | 77 | |
| 13 | 2009 | 73 | |
| 14 | 2017 | 70 | |
| 15 | 2014 | 66 | |
| 16 | 2012 | 65 | |
| 17 | 2022 | 62 | |
| 18 | 2010 | 62 | |
| 19 | 2015 | 58 | |
| 20 | 2007 | 54 |
About Ning Li
Ning Li is a scholar working on Molecular Biology, Physiology, Infectious Diseases, Surgery and Endocrinology, Diabetes and Metabolism, having authored 202 papers that have together received 4.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Thyroid Cancer Diagnosis and Treatment (11 papers), Pancreatic function and diabetes (10 papers), Wound Healing and Treatments (9 papers), Influenza Virus Research Studies (8 papers), Cancer, Hypoxia, and Metabolism (8 papers) and Viral gastroenteritis research and epidemiology (8 papers). The work is most often cited by research in Molecular Medicine (126 citations), Endocrinology, Diabetes and Metabolism (391 citations), Infectious Diseases (435 citations), Geriatrics and Gerontology (77 citations) and Physiology (583 citations). Ning Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Pierre Maechler, Ruodan Xu, Thierry Brun, Mingfei Shi, Francesca Frigerio, Ping Song, Junshi Chen, Chi Han, Geng-Tao Liu and Helen Tran. Their work appears in journals such as PLoS ONE, Frontiers in Oncology, Frontiers in Bioengineering and Biotechnology, Frontiers in Pharmacology and American Journal of Clinical Pathology.
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.