Jin‐Ok Ahn
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
- Co-authors
- Hwa‐Young Youn (22 shared papers)Min‐Ok Ryu (8 shared papers)Woo‐Jin Song (13 shared papers)Yun Chan Jung (4 shared papers)Dong Ha Bhang (3 shared papers)Qiang Li (5 shared papers)Hee Woo Lee (4 shared papers)Qiang Li (1 shared paper)
- Journals
- Journal of Veterinary Science (5 papers)Research in Veterinary Science (2 papers)Stem Cell Research & Therapy (2 papers)BMC Veterinary Research (2 papers)BMC Neuroscience (1 paper)
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Jin‐Ok Ahn
31 papers receiving 707 citations
Peers
Comparison fields: 5 of 77
- Genetics 333
- Rehabilitation 39
- Immunology 108
- Surgery 190
- Urology 23
Countries citing papers authored by Jin‐Ok Ahn
This map shows the geographic impact of Jin‐Ok Ahn'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‐Ok Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Ok Ahn more than expected).
Fields of papers citing papers by Jin‐Ok Ahn
This network shows the impact of papers produced by Jin‐Ok Ahn. 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‐Ok Ahn. The network helps show where Jin‐Ok Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin‐Ok Ahn, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 119 | |
| 2 | 2018 | 103 | |
| 3 | Human adipose tissue-derived mesenchymal stem cells inhibit melanoma growth in vitro and in vivo. | 2015 | 62 |
| 4 | 2018 | 45 | |
| 5 | 2018 | 40 | |
| 6 | 2004 | 37 | |
| 7 | 2011 | 36 | |
| 8 | 2019 | 34 | |
| 9 | 2012 | 30 | |
| 10 | 2017 | 25 | |
| 11 | 2018 | 23 | |
| 12 | 2017 | 22 | |
| 13 | Human adipose tissue-derived mesenchymal stem cells inhibit T-cell lymphoma growth in vitro and in vivo. | 2014 | 18 |
| 14 | 2021 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2015 | 11 | |
| 17 | 2017 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2012 | 11 |
About Jin‐Ok Ahn
Jin‐Ok Ahn is a scholar working on Genetics, Surgery, Molecular Biology, Dermatology and Small Animals, having authored 37 papers that have together received 727 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (14 papers), Tissue Engineering and Regenerative Medicine (5 papers), Dermatology and Skin Diseases (4 papers), Pancreatic function and diabetes (3 papers), Animal health and immunology (2 papers), Pluripotent Stem Cells Research (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Genetics (333 citations), Rehabilitation (39 citations), Immunology (108 citations), Surgery (190 citations) and Urology (23 citations). Jin‐Ok Ahn has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Hwa‐Young Youn, Min‐Ok Ryu, Woo‐Jin Song, Yun Chan Jung, Dong Ha Bhang, Qiang Li, Hee Woo Lee, Qiang Li, Sung‐Keun Kang and Ju‐Hyun An. Their work appears in journals such as Journal of Veterinary Science, Research in Veterinary Science, Stem Cell Research & Therapy, BMC Veterinary Research and BMC Neuroscience.
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.