Dongning Pan
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
- Physiology 20
- Adipose Tissue and Metabolism 20
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- Mitochondrial Function and Pathology 5
- Metabolism, Diabetes, and Cancer 3
- Co-authors
- Yong‐Xu Wang (10 shared papers)Masaki Fujimoto (1 shared paper)Andréa Cintra Lopes (1 shared paper)Lihua Julie Zhu (5 shared papers)Qi‐Qun Tang (13 shared papers)Lei Huang (4 shared papers)Yan Tang (6 shared papers)Shuwen Qian (6 shared papers)
- Journals
- Nature Communications (4 papers)Advanced Science (2 papers)The EMBO Journal (2 papers)Proceedings of the National Academy of Sciences (2 papers)iScience (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Dongning Pan
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Physiology 535
- Biochemistry 97
- Cancer Research 201
- Epidemiology 362
- Rehabilitation 67
Countries citing papers authored by Dongning Pan
This map shows the geographic impact of Dongning Pan'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 Dongning Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongning Pan more than expected).
Fields of papers citing papers by Dongning Pan
This network shows the impact of papers produced by Dongning Pan. 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 Dongning Pan. The network helps show where Dongning Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongning Pan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 180 | |
| 2 | 2005 | 139 | |
| 3 | 2014 | 113 | |
| 4 | 2021 | 76 | |
| 5 | 2015 | 69 | |
| 6 | 2011 | 49 | |
| 7 | 2013 | 46 | |
| 8 | 2021 | 45 | |
| 9 | 2021 | 41 | |
| 10 | 2011 | 36 | |
| 11 | 2021 | 36 | |
| 12 | 2021 | 35 | |
| 13 | 2017 | 29 | |
| 14 | 2018 | 28 | |
| 15 | 2018 | 28 | |
| 16 | 2012 | 23 | |
| 17 | 2020 | 23 | |
| 18 | 2022 | 21 | |
| 19 | 2018 | 20 | |
| 20 | 2023 | 18 |
About Dongning Pan
Dongning Pan is a scholar working on Physiology, Molecular Biology, Epidemiology, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (20 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Lipid metabolism and biosynthesis (8 papers), Mitochondrial Function and Pathology (5 papers), Cardiovascular Disease and Adiposity (4 papers), Immune Cell Function and Interaction (4 papers), Pancreatic function and diabetes (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Physiology (535 citations), Biochemistry (97 citations), Cancer Research (201 citations), Epidemiology (362 citations) and Rehabilitation (67 citations). Dongning Pan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yong‐Xu Wang, Masaki Fujimoto, Andréa Cintra Lopes, Lihua Julie Zhu, Qi‐Qun Tang, Lei Huang, Yan Tang, Shuwen Qian, Randall H. Friedline and Jason K. Kim. Their work appears in journals such as Nature Communications, Advanced Science, The EMBO Journal, Proceedings of the National Academy of Sciences and iScience.
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.