Jing‐Na Lin
Impact in
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- Diabetes Treatment and Management
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- MicroRNA in disease regulation
Papers in
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- FOXO transcription factor regulation 1
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- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Chunjun Li (13 shared papers)Ming‐Lin Liu (1 shared paper)Qianhua Fang (2 shared papers)Ya‐Ping Huang (6 shared papers)Manyi Sun (2 shared papers)Shi Zhang (6 shared papers)Songli Shi (1 shared paper)Li Zhang (1 shared paper)
- Journals
- PLoS ONE (2 papers)BMJ Open (2 papers)Diabetology & Metabolic Syndrome (2 papers)Diabetes Metabolic Syndrome and Obesity (2 papers)Frontiers in Endocrinology (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Jing‐Na Lin
38 papers receiving 373 citations
Peers
Comparison fields: 5 of 73
- Endocrinology, Diabetes and Metabolism 54
- Cancer Research 39
- Epidemiology 82
- Cardiology and Cardiovascular Medicine 49
- Physiology 58
Countries citing papers authored by Jing‐Na Lin
This map shows the geographic impact of Jing‐Na Lin'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 Jing‐Na Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing‐Na Lin more than expected).
Fields of papers citing papers by Jing‐Na Lin
This network shows the impact of papers produced by Jing‐Na Lin. 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 Jing‐Na Lin. The network helps show where Jing‐Na Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing‐Na Lin, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 83 | |
| 2 | 2016 | 31 | |
| 3 | 2009 | 28 | |
| 4 | 2015 | 25 | |
| 5 | 2016 | 25 | |
| 6 | 2021 | 15 | |
| 7 | 2023 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2019 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2013 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2025 | 6 | |
| 20 | 2024 | 6 |
About Jing‐Na Lin
Jing‐Na Lin is a scholar working on Molecular Biology, Epidemiology, Physiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 41 papers that have together received 381 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Nutrition and Health in Aging (3 papers), Diabetes and associated disorders (2 papers), Dementia and Cognitive Impairment Research (2 papers), Pancreatic function and diabetes (2 papers), Osteoarthritis Treatment and Mechanisms (1 paper), FOXO transcription factor regulation (1 paper) and Gout, Hyperuricemia, Uric Acid (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (54 citations), Cancer Research (39 citations), Epidemiology (82 citations), Cardiology and Cardiovascular Medicine (49 citations) and Physiology (58 citations). Jing‐Na Lin has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Chunjun Li, Ming‐Lin Liu, Qianhua Fang, Ya‐Ping Huang, Manyi Sun, Shi Zhang, Songli Shi, Li Zhang, Minying Zhang and Jiajun He. Their work appears in journals such as PLoS ONE, BMJ Open, Diabetology & Metabolic Syndrome, Diabetes Metabolic Syndrome and Obesity and Frontiers in Endocrinology.
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.