Ruolan Dong
Impact in
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
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- Eicosanoids and Hypertension Pharmacology 9
- Co-authors
- Ling Tu (19 shared papers)Xizhen Xu (18 shared papers)Menglu Fu (14 shared papers)Dao Wen Wang (10 shared papers)Jinlan Luo (10 shared papers)Yan Yang (11 shared papers)Guang Chen (7 shared papers)Zhihui Chen (8 shared papers)
In The Last Decade
Ruolan Dong
29 papers receiving 686 citations
Peers
Comparison fields: 5 of 102
- Biochemistry 94
- Pharmacology 68
- Endocrinology, Diabetes and Metabolism 91
- Cancer Research 70
- Biological Psychiatry 11
Countries citing papers authored by Ruolan Dong
This map shows the geographic impact of Ruolan Dong'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 Ruolan Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruolan Dong more than expected).
Fields of papers citing papers by Ruolan Dong
This network shows the impact of papers produced by Ruolan Dong. 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 Ruolan Dong. The network helps show where Ruolan Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruolan Dong, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 69 | |
| 2 | 2020 | 64 | |
| 3 | 2020 | 60 | |
| 4 | 2020 | 43 | |
| 5 | 2015 | 40 | |
| 6 | 2020 | 39 | |
| 7 | 2013 | 39 | |
| 8 | 2013 | 33 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 28 | |
| 11 | 2014 | 28 | |
| 12 | 2019 | 25 | |
| 13 | 2017 | 19 | |
| 14 | 2023 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2020 | 17 | |
| 17 | 2015 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2020 | 14 | |
| 20 | 2019 | 12 |
About Ruolan Dong
Ruolan Dong is a scholar working on Molecular Biology, Biochemistry, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 30 papers that have together received 697 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (9 papers), Hormonal Regulation and Hypertension (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Diet, Metabolism, and Disease (3 papers), Alcohol Consumption and Health Effects (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Biochemistry (94 citations), Pharmacology (68 citations), Endocrinology, Diabetes and Metabolism (91 citations), Cancer Research (70 citations) and Biological Psychiatry (11 citations). Ruolan Dong has collaborated with scholars based in China, Canada and Poland. Frequent co-authors include Ling Tu, Xizhen Xu, Menglu Fu, Dao Wen Wang, Jinlan Luo, Yan Yang, Guang Chen, Zhihui Chen, Shuiqing Hu and Fan Wu. Their work appears in journals such as Cellular Physiology and Biochemistry, Biomedicine & Pharmacotherapy, Frontiers in Pharmacology, Biochemical and Biophysical Research Communications 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.