Jing‐Na Lin
Impact in
-
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 15
- Liver Disease Diagnosis and Treatment 11
- Adipokines, Inflammation, and Metabolic Diseases 5
- Physiology 13
- Nutrition and Health in Aging 8
- Diet and metabolism studies 5
- Co-authors
- Chunjun Li (13 shared papers)Qianhua Fang (2 shared papers)Ming‐Lin Liu (1 shared paper)Ya‐Ping Huang (6 shared papers)Manyi Sun (2 shared papers)Minying Zhang (6 shared papers)Shi Zhang (6 shared papers)Li Zhang (1 shared paper)
- Journals
- BMJ Open (2 papers)Diabetes Metabolic Syndrome and Obesity (2 papers)Diabetology & Metabolic Syndrome (2 papers)Frontiers in Endocrinology (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Jing‐Na Lin
36 papers receiving 351 citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 70
- Epidemiology 119
- Physiology 88
- Cardiology and Cardiovascular Medicine 72
- Cancer Research 42
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 | 79 | |
| 2 | 2016 | 31 | |
| 3 | 2009 | 28 | |
| 4 | 2015 | 25 | |
| 5 | 2016 | 25 | |
| 6 | 2021 | 15 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2013 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 5 |
About Jing‐Na Lin
Jing‐Na Lin is a scholar working on Epidemiology, Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 359 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Nutrition and Health in Aging (8 papers), Nutritional Studies and Diet (6 papers), Diet and metabolism studies (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Cardiovascular Health and Disease Prevention (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (70 citations), Epidemiology (119 citations), Physiology (88 citations), Cardiology and Cardiovascular Medicine (72 citations) and Cancer Research (42 citations). Jing‐Na Lin has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Chunjun Li, Qianhua Fang, Ming‐Lin Liu, Ya‐Ping Huang, Manyi Sun, Minying Zhang, Shi Zhang, Li Zhang, Songli Shi and Xiaohe Wang. Their work appears in journals such as BMJ Open, Diabetes Metabolic Syndrome and Obesity, Diabetology & Metabolic Syndrome, Frontiers in Endocrinology and PLoS ONE.
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.