Ling Li
Impact in
- Obstetrics and Gynecology top 1%
- Gestational Diabetes Research and Management
- Pregnancy and preeclampsia studies
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- Diabetes Treatment and Management
Papers in
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- Metabolism, Diabetes, and Cancer 8
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- Diabetes Treatment and Management 17
- Thyroid Disorders and Treatments 11
- Diabetes, Cardiovascular Risks, and Lipoproteins 10
- Co-authors
- Ping Li (22 shared papers)Dan Wu (4 shared papers)Na Wu (7 shared papers)Lei Tang (8 shared papers)C. Liu (2 shared papers)Xiangyun Zhu (3 shared papers)Chunhua Wu (3 shared papers)Hong Ouyang (5 shared papers)
- Journals
- Diabetes Metabolic Syndrome and Obesity (10 papers)Diabetes Obesity and Metabolism (7 papers)PLoS ONE (6 papers)Frontiers in Endocrinology (6 papers)Medicine (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ling Li
227 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 159
- Obstetrics and Gynecology 504
- Endocrinology, Diabetes and Metabolism 852
- Geriatrics and Gerontology 126
- Cancer Research 363
- Aging 42
Countries citing papers authored by Ling Li
This map shows the geographic impact of Ling 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 Ling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Li more than expected).
Fields of papers citing papers by Ling Li
This network shows the impact of papers produced by Ling 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 Ling Li. The network helps show where Ling Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 240 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 269 | |
| 2 | 2017 | 167 | |
| 3 | 2011 | 150 | |
| 4 | 2017 | 134 | |
| 5 | 2007 | 121 | |
| 6 | 2015 | 115 | |
| 7 | 2006 | 115 | |
| 8 | 2020 | 113 | |
| 9 | 2021 | 110 | |
| 10 | 2013 | 110 | |
| 11 | 2014 | 108 | |
| 12 | 2018 | 103 | |
| 13 | 2015 | 100 | |
| 14 | 2012 | 83 | |
| 15 | 2011 | 76 | |
| 16 | 2017 | 76 | |
| 17 | 2017 | 70 | |
| 18 | 2015 | 66 | |
| 19 | 2014 | 61 | |
| 20 | 2019 | 60 |
About Ling Li
Ling Li is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Epidemiology and Surgery, having authored 240 papers that have together received 5.0k indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (27 papers), Diabetes Treatment and Management (17 papers), Thyroid Disorders and Treatments (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Pregnancy and preeclampsia studies (10 papers), Metabolism, Diabetes, and Cancer (8 papers), Cancer-related molecular mechanisms research (6 papers) and Galectins and Cancer Biology (6 papers). The work is most often cited by research in Obstetrics and Gynecology (504 citations), Endocrinology, Diabetes and Metabolism (852 citations), Geriatrics and Gerontology (126 citations), Cancer Research (363 citations) and Aging (42 citations). Ling Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ping Li, Dan Wu, Na Wu, Lei Tang, C. Liu, Xiangyun Zhu, Chunhua Wu, Hong Ouyang, Sheng Sun and Ling‐Chang Tong. Their work appears in journals such as Diabetes Metabolic Syndrome and Obesity, Diabetes Obesity and Metabolism, PLoS ONE, Frontiers in Endocrinology and Medicine.
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.