Yan Ling
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Growth Hormone and Insulin-like Growth Factors
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Thyroid Cancer Diagnosis and Treatment 7
- Diabetes, Cardiovascular Risks, and Lipoproteins 7
- Growth Hormone and Insulin-like Growth Factors 6
- Thyroid Disorders and Treatments 5
- Hormonal Regulation and Hypertension 5
- Co-authors
- Xin Gao (27 shared papers)David R. Clemmons (4 shared papers)Fangjie Jiang (1 shared paper)Yan Yan (1 shared paper)Wei Wang (1 shared paper)Pu Xia (1 shared paper)Qi Chen (1 shared paper)Xiaomu Li (9 shared papers)
- Journals
- The Oncologist (2 papers)Molecular Endocrinology (2 papers)Brain Research (2 papers)Frontiers in Endocrinology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yan Ling
85 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Endocrinology, Diabetes and Metabolism 328
- Cancer Research 250
- Immunology and Allergy 62
- Immunology 161
- Molecular Biology 518
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 212 | |
| 2 | 2007 | 55 | |
| 3 | 2003 | 53 | |
| 4 | 2013 | 49 | |
| 5 | 2006 | 42 | |
| 6 | 2012 | 41 | |
| 7 | 2012 | 35 | |
| 8 | 2020 | 34 | |
| 9 | 2021 | 34 | |
| 10 | 2016 | 33 | |
| 11 | 2019 | 32 | |
| 12 | 2016 | 30 | |
| 13 | 2018 | 28 | |
| 14 | 2005 | 27 | |
| 15 | 2011 | 25 | |
| 16 | 2011 | 24 | |
| 17 | 2012 | 24 | |
| 18 | 2018 | 23 | |
| 19 | 2017 | 22 | |
| 20 | 2011 | 21 |
About Yan Ling
Yan Ling is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Oncology and Pulmonary and Respiratory Medicine, having authored 87 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Vitamin D Research Studies (5 papers), Thyroid Disorders and Treatments (5 papers), Hormonal Regulation and Hypertension (5 papers) and Reproductive System and Pregnancy (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (328 citations), Cancer Research (250 citations), Immunology and Allergy (62 citations), Immunology (161 citations) and Molecular Biology (518 citations). Yan Ling has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xin Gao, David R. Clemmons, Fangjie Jiang, Yan Yan, Wei Wang, Pu Xia, Qi Chen, Xiaomu Li, Laura A. Maile and Tianyu Zhai. Their work appears in journals such as The Oncologist, Molecular Endocrinology, Brain Research, Frontiers in Endocrinology and Scientific Reports.
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.