Lin Ding
Impact in
- Biological Psychiatry top 10%
Papers in
- Epidemiology 16
- Liver Disease Diagnosis and Treatment 10
- Surgery 14
- Cholesterol and Lipid Metabolism 9
- Co-authors
- Changhu Xue (20 shared papers)Hangyong He (5 shared papers)Lingyu Zhang (15 shared papers)Yuming Wang (16 shared papers)Li Wang (1 shared paper)Teruyoshi Yanagita (8 shared papers)Tiantian Zhang (13 shared papers)Yufang Bi (12 shared papers)
- Journals
- Food & Function (6 papers)Journal of Functional Foods (4 papers)Medicine (3 papers)European Journal of Lipid Science and Technology (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lin Ding
62 papers receiving 2.0k citations
Lin Ding's Hit Papers
Peers
Comparison fields: 5 of 121
- Critical Care and Intensive Care Medicine 81
- Biological Psychiatry 39
- Aquatic Science 125
- Epidemiology 438
- Nutrition and Dietetics 210
Countries citing papers authored by Lin Ding
This map shows the geographic impact of Lin Ding'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 Lin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ding more than expected).
Fields of papers citing papers by Lin Ding
This network shows the impact of papers produced by Lin Ding. 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 Lin Ding. The network helps show where Lin Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Ding, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficacy and safety of early prone positioning combined with HFNC or NIV in moderate to severe ARDS: a multi-center prospective cohort study Hit paper breakdown → | 2020 | 256 |
| 2 | 2018 | 202 | |
| 3 | 2015 | 152 | |
| 4 | 2020 | 86 | |
| 5 | 2021 | 86 | |
| 6 | 2016 | 66 | |
| 7 | 2015 | 55 | |
| 8 | 2014 | 54 | |
| 9 | 2020 | 52 | |
| 10 | 2013 | 49 | |
| 11 | 2016 | 47 | |
| 12 | 2017 | 47 | |
| 13 | 2017 | 46 | |
| 14 | 2020 | 43 | |
| 15 | 2019 | 40 | |
| 16 | 2014 | 40 | |
| 17 | 2020 | 38 | |
| 18 | 2014 | 37 | |
| 19 | 2019 | 35 | |
| 20 | 2015 | 34 |
About Lin Ding
Lin Ding is a scholar working on Epidemiology, Surgery, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Molecular Biology, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Cholesterol and Lipid Metabolism (9 papers), Fatty Acid Research and Health (9 papers), Drug Transport and Resistance Mechanisms (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Adipose Tissue and Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Echinoderm biology and ecology (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (81 citations), Biological Psychiatry (39 citations), Aquatic Science (125 citations), Epidemiology (438 citations) and Nutrition and Dietetics (210 citations). Lin Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Changhu Xue, Hangyong He, Lingyu Zhang, Yuming Wang, Li Wang, Teruyoshi Yanagita, Tiantian Zhang, Yufang Bi, Tiantian Zhang and Jing Shang. Their work appears in journals such as Food & Function, Journal of Functional Foods, Medicine, European Journal of Lipid Science and Technology 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.