Da‐Yun Jin
Impact in
- Nutrition and Dietetics top 5%
- Vitamin K Research Studies
- Vitamin C and Antioxidants Research
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Vitamin K Research Studies 9
- Vitamin C and Antioxidants Research 4
-
- Amino Acid Enzymes and Metabolism 3
- Eicosanoids and Hypertension Pharmacology 2
- Co-authors
- Darrel W. Stafford (15 shared papers)Jian‐Ke Tie (12 shared papers)Xuejie Chen (7 shared papers)Tao Li (1 shared paper)Craig M. Williams (4 shared papers)Christopher V. Nicchitta (2 shared papers)Lars C. Pedersen (1 shared paper)Leon J. Schurgers (1 shared paper)
- Journals
- Blood (5 papers)Journal of Biological Chemistry (2 papers)Journal of Thrombosis and Haemostasis (2 papers)Nature Communications (1 paper)FEBS Journal (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Da‐Yun Jin
16 papers receiving 393 citations
Peers
Comparison fields: 5 of 59
- Nutrition and Dietetics 230
- Pharmacology 60
- Endocrinology, Diabetes and Metabolism 63
- Neurology 56
- Genetics 39
Countries citing papers authored by Da‐Yun Jin
This map shows the geographic impact of Da‐Yun 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 Da‐Yun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da‐Yun Jin more than expected).
Fields of papers citing papers by Da‐Yun Jin
This network shows the impact of papers produced by Da‐Yun 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 Da‐Yun Jin. The network helps show where Da‐Yun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Da‐Yun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 50 | |
| 2 | 2013 | 49 | |
| 3 | 2000 | 47 | |
| 4 | 2000 | 44 | |
| 5 | 2000 | 36 | |
| 6 | 1999 | 29 | |
| 7 | 2020 | 28 | |
| 8 | 2001 | 26 | |
| 9 | 2019 | 25 | |
| 10 | 2018 | 22 | |
| 11 | 2020 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2020 | 7 | |
| 14 | 2021 | 4 | |
| 15 | 1996 | 4 | |
| 16 | 2000 | 3 | |
| 17 | 2020 | 0 |
About Da‐Yun Jin
Da‐Yun Jin is a scholar working on Nutrition and Dietetics, Biochemistry, Pharmacology, Neurology and Biotechnology, having authored 17 papers that have together received 401 indexed citations. Recurring topics across this work include Vitamin K Research Studies (9 papers), Vitamin C and Antioxidants Research (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Cancer Research and Treatments (3 papers), Alcoholism and Thiamine Deficiency (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Nutrition and Dietetics (230 citations), Pharmacology (60 citations), Endocrinology, Diabetes and Metabolism (63 citations), Neurology (56 citations) and Genetics (39 citations). Da‐Yun Jin has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Darrel W. Stafford, Jian‐Ke Tie, Xuejie Chen, Tao Li, Craig M. Williams, Christopher V. Nicchitta, Lars C. Pedersen, Leon J. Schurgers, Steven R. Presnell and Robert Azerad. Their work appears in journals such as Blood, Journal of Biological Chemistry, Journal of Thrombosis and Haemostasis, Nature Communications and FEBS Journal.
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.