Yan Ling
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Growth Hormone and Insulin-like Growth Factors
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 7
- Thyroid Cancer Diagnosis and Treatment 6
- Thyroid Disorders and Treatments 5
- Hormonal Regulation and Hypertension 2
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- Cell Adhesion Molecules Research 3
- Co-authors
- Xin Gao (20 shared papers)David R. Clemmons (4 shared papers)Qi Chen (1 shared paper)Yan Yan (1 shared paper)Pu Xia (1 shared paper)Xiaomu Li (9 shared papers)Laura A. Maile (3 shared papers)Jingjing Jiang (8 shared papers)
- Journals
- Frontiers in Endocrinology (2 papers)Brain Research (2 papers)Molecular and Cellular Endocrinology (1 paper)Journal of Hepatology (1 paper)Lipids in Health and Disease (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yan Ling
40 papers receiving 890 citations
Peers
Comparison fields: 5 of 68
- Endocrinology, Diabetes and Metabolism 230
- Immunology and Allergy 45
- Cancer Research 55
- Molecular Biology 251
- Endocrine and Autonomic Systems 22
Countries citing papers authored by Yan Ling
This map shows the geographic impact of Yan Ling'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 Yan Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ling more than expected).
Fields of papers citing papers by Yan Ling
This network shows the impact of papers produced by Yan Ling. 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 Yan Ling. The network helps show where Yan Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Ling, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 227 | |
| 2 | 2003 | 56 | |
| 3 | 2007 | 56 | |
| 4 | 2006 | 44 | |
| 5 | 2012 | 44 | |
| 6 | 2012 | 44 | |
| 7 | 2019 | 33 | |
| 8 | 2011 | 29 | |
| 9 | 2018 | 29 | |
| 10 | 2018 | 28 | |
| 11 | 2017 | 25 | |
| 12 | 2011 | 23 | |
| 13 | 2018 | 23 | |
| 14 | 2017 | 21 | |
| 15 | 2017 | 21 | |
| 16 | 2018 | 19 | |
| 17 | 2015 | 18 | |
| 18 | 2015 | 18 | |
| 19 | 2016 | 18 | |
| 20 | 2016 | 17 |
About Yan Ling
Yan Ling is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Allergy, Nephrology, Surgery and Neurology, having authored 42 papers that have together received 910 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Thyroid Disorders and Treatments (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Cell Adhesion Molecules Research (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Hormonal Regulation and Hypertension (2 papers) and Protein Tyrosine Phosphatases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (230 citations), Immunology and Allergy (45 citations), Cancer Research (55 citations), Molecular Biology (251 citations) and Endocrine and Autonomic Systems (22 citations). Yan Ling has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xin Gao, David R. Clemmons, Qi Chen, Yan Yan, Pu Xia, Xiaomu Li, Laura A. Maile, Jingjing Jiang, Gang Xi and Jaroslava Lieskovská. Their work appears in journals such as Frontiers in Endocrinology, Brain Research, Molecular and Cellular Endocrinology, Journal of Hepatology and Lipids in Health and Disease.
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.