Jin Yeul
Impact in
-
- Traditional Chinese Medicine Analysis
- Natural Compounds in Disease Treatment
- Drug Discovery top 5%
Papers in
-
- Traditional Chinese Medicine Analysis 46
- Natural Compounds in Disease Treatment 20
- Pharmacology 35
- Co-authors
- Won‐Kyung Cho (84 shared papers)Nam–Hui Yim (42 shared papers)Aeyung Kim (23 shared papers)Youn‐Hwan Hwang (34 shared papers)You-Chang Oh (22 shared papers)Kwang‐Il Park (25 shared papers)Kwang Jin Lee (15 shared papers)Yun Hee Jeong (20 shared papers)
- Journals
- BMC Complementary and Alternative Medicine (23 papers)Journal of Ethnopharmacology (15 papers)Evidence-based Complementary and Alternative Medicine (15 papers)International Journal of Molecular Sciences (10 papers)The American Journal of Chinese Medicine (10 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Jin Yeul
280 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 121
- Complementary and alternative medicine 729
- Drug Discovery 11
- Pharmacology 322
- Biochemistry 172
- Plant Science 973
Countries citing papers authored by Jin Yeul
This map shows the geographic impact of Jin Yeul'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 Jin Yeul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yeul more than expected).
Fields of papers citing papers by Jin Yeul
This network shows the impact of papers produced by Jin Yeul. 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 Jin Yeul. The network helps show where Jin Yeul may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Yeul, 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 287 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 263 | |
| 2 | 2015 | 190 | |
| 3 | 2017 | 155 | |
| 4 | 2018 | 88 | |
| 5 | 2015 | 66 | |
| 6 | 2015 | 61 | |
| 7 | 2012 | 60 | |
| 8 | 2018 | 60 | |
| 9 | 2017 | 56 | |
| 10 | 2011 | 55 | |
| 11 | 2019 | 55 | |
| 12 | 2014 | 50 | |
| 13 | 2012 | 46 | |
| 14 | 2016 | 45 | |
| 15 | 2018 | 45 | |
| 16 | 2017 | 42 | |
| 17 | 2012 | 41 | |
| 18 | 2017 | 41 | |
| 19 | 2017 | 41 | |
| 20 | 2016 | 38 |
About Jin Yeul
Jin Yeul is a scholar working on Complementary and alternative medicine, Pharmacology, Plant Science, Epidemiology and Molecular Biology, having authored 287 papers that have together received 4.8k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (46 papers), Medicinal Plant Research (29 papers), Phytochemistry and Biological Activities (26 papers), Influenza Virus Research Studies (23 papers), Phytochemistry Medicinal Plant Applications (20 papers), Natural Compounds in Disease Treatment (20 papers), Bone Metabolism and Diseases (19 papers) and Food Quality and Safety Studies (15 papers). The work is most often cited by research in Complementary and alternative medicine (729 citations), Drug Discovery (11 citations), Pharmacology (322 citations), Biochemistry (172 citations) and Plant Science (973 citations). Jin Yeul has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Won‐Kyung Cho, Nam–Hui Yim, Aeyung Kim, Youn‐Hwan Hwang, You-Chang Oh, Kwang‐Il Park, Kwang Jin Lee, Yun Hee Jeong, Hye Jin Yang and Minju Im. Their work appears in journals such as BMC Complementary and Alternative Medicine, Journal of Ethnopharmacology, Evidence-based Complementary and Alternative Medicine, International Journal of Molecular Sciences and The American Journal of Chinese Medicine.
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.