Ji Min Oh
- Molecular Biology top 5%
- Cancer Research top 2%
- Immunology top 10%
- Biomedical Engineering top 10%
- Genetics top 5%
- Co-authors
- Byeong‐Cheol AhnPrakash GangadaranJaetae LeeShin Young JeongS KalimuthuLiya ZhuSe Hwan BaekHo‐Won Lee
- Topics
- Extracellular vesicles in disease (18 papers)Mesenchymal stem cell research (8 papers)Thyroid Cancer Diagnosis and Treatment (7 papers)
- Cited by
- Cancer ResearchUrologyGenetics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEBiomaterials
- Partner nations
- South KoreaIndiaChina
In The Last Decade
Ji Min Oh
46 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.4k
- Cancer Research 712
- Immunology 399
- Biomedical Engineering 360
- Genetics 270
Countries citing papers authored by Ji Min Oh
This map shows the geographic impact of Ji Min Oh'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 Ji Min Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Min Oh more than expected).
Fields of papers citing papers by Ji Min Oh
This network shows the impact of papers produced by Ji Min Oh. 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 Ji Min Oh. The network helps show where Ji Min Oh may publish in the future.
Co-authorship network of co-authors of Ji Min Oh
This figure shows the co-authorship network connecting the top 25 collaborators of Ji Min Oh. A scholar is included among the top collaborators of Ji Min Oh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ji Min Oh. Ji Min Oh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 41 | |
| 8 | 17 | |
| 9 | 231 | |
| 10 | 80 | |
| 11 | 50 | |
| 12 | 59 | |
| 13 | 4 | |
| 14 | 15 | |
| 15 | 46 | |
| 16 | Exosomes Derived From Natural Killer Cells Exert Therapeutic Effect in Melanomabreakdown → | 385 |
| 17 | Analysis and mapping of the re-1 gene for reduced embryo size in rice. | 1 |
| 18 | 19 | |
| 19 | Application of Advance Directives for Patients with End Stage Renal Disease | 9 |
| 20 | QTL mapping of agronomic traits in an advanced backcross population from a cross between Oryza sativa L. cv. Milyang 23 and O. glaberrima. | 5 |
About Ji Min Oh
Ji Min Oh is a scholar working on Genetics, Urology and Cancer Research, having authored 50 papers that have together received 2.1k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (18 papers), Mesenchymal stem cell research (8 papers) and Thyroid Cancer Diagnosis and Treatment (7 papers). The work is most often cited by research in Cancer Research (712 citations), Urology (170 citations) and Genetics (270 citations). Ji Min Oh has collaborated with scholars based in South Korea, India and China. Frequent co-authors include Byeong‐Cheol Ahn, Prakash Gangadaran, Jaetae Lee, Shin Young Jeong, S Kalimuthu, Liya Zhu, Se Hwan Baek, Ho‐Won Lee, Ramya Lakshmi Rajendran and Sang‐Woo Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.
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.