De Jin
Impact in
-
- Traditional Chinese Medicine Studies
- Traditional Chinese Medicine Analysis
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Medicinal Plants and Bioactive Compounds 4
- Ginseng Biological Effects and Applications 4
-
- Traditional Chinese Medicine Analysis 4
- Traditional Chinese Medicine Studies 3
- Co-authors
- Fengmei Lian (38 shared papers)Xiaolin Tong (19 shared papers)Liyun Duan (15 shared papers)Yuting Sun (10 shared papers)Xuedong An (17 shared papers)Xiaomin Kang (11 shared papers)Yingying Duan (17 shared papers)Yuqing Zhang (8 shared papers)
- Journals
- Frontiers in Pharmacology (11 papers)Evidence-based Complementary and Alternative Medicine (7 papers)Chinese Medicine (5 papers)Frontiers in Endocrinology (5 papers)Trials (2 papers)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
De Jin
53 papers receiving 884 citations
Peers
Comparison fields: 5 of 106
- Complementary and alternative medicine 142
- Nephrology 101
- Pharmacology 90
- Biological Psychiatry 16
- Endocrinology, Diabetes and Metabolism 78
Countries citing papers authored by De Jin
This map shows the geographic impact of De Jin'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 De Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Jin more than expected).
Fields of papers citing papers by De Jin
This network shows the impact of papers produced by De Jin. 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 De Jin. The network helps show where De Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside De Jin, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 161 | |
| 2 | 2019 | 83 | |
| 3 | 2021 | 77 | |
| 4 | 2021 | 46 | |
| 5 | 2022 | 45 | |
| 6 | 2021 | 32 | |
| 7 | 2017 | 29 | |
| 8 | 2022 | 23 | |
| 9 | 2019 | 23 | |
| 10 | 2018 | 21 | |
| 11 | 2022 | 21 | |
| 12 | 2021 | 21 | |
| 13 | 2023 | 20 | |
| 14 | 2021 | 20 | |
| 15 | 2020 | 18 | |
| 16 | 2023 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2019 | 12 |
About De Jin
De Jin is a scholar working on Molecular Biology, Complementary and alternative medicine, Pharmacology, Nephrology and Neurology, having authored 53 papers that have together received 899 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (6 papers), Chronic Kidney Disease and Diabetes (5 papers), Retinal Diseases and Treatments (5 papers), Traditional Chinese Medicine Analysis (4 papers), Medicinal Plants and Bioactive Compounds (4 papers), Long-Term Effects of COVID-19 (4 papers), Ginseng Biological Effects and Applications (4 papers) and Traditional Chinese Medicine Studies (3 papers). The work is most often cited by research in Complementary and alternative medicine (142 citations), Nephrology (101 citations), Pharmacology (90 citations), Biological Psychiatry (16 citations) and Endocrinology, Diabetes and Metabolism (78 citations). De Jin has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Fengmei Lian, Xiaolin Tong, Liyun Duan, Yuting Sun, Xuedong An, Xiaomin Kang, Yingying Duan, Yuqing Zhang, Rongrong Zhou and Xiaolin Tong. Their work appears in journals such as Frontiers in Pharmacology, Evidence-based Complementary and Alternative Medicine, Chinese Medicine, Frontiers in Endocrinology and Trials.
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.