Jae‐Sung Kim
- Molecular Biology top 10%
- Cancer Research top 5%
- Pharmacology top 2%
- Rheumatology top 2%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Do Kyung KimSu-Gwan KimChun Sung KimAndré J. van WijnenHong Sung ChunHee‐Jeong ImSeul Ah LeeJi‐Su Oh
- Topics
- Osteoarthritis Treatment and Mechanisms (17 papers)MicroRNA in disease regulation (10 papers)Natural product bioactivities and synthesis (10 papers)
- Journals
- Journal of Biological ChemistryHepatologyBiochemical and Biophysical Research Communications
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jae‐Sung Kim
96 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.2k
- Cancer Research 532
- Pharmacology 482
- Rheumatology 437
- Pathology and Forensic Medicine 418
Countries citing papers authored by Jae‐Sung Kim
This map shows the geographic impact of Jae‐Sung Kim'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 Jae‐Sung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Sung Kim more than expected).
Fields of papers citing papers by Jae‐Sung Kim
This network shows the impact of papers produced by Jae‐Sung Kim. 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 Jae‐Sung Kim. The network helps show where Jae‐Sung Kim may publish in the future.
Co-authorship network of co-authors of Jae‐Sung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Sung Kim. A scholar is included among the top collaborators of Jae‐Sung Kim 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 Jae‐Sung Kim. Jae‐Sung Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 19 | |
| 8 | 21 | |
| 9 | 20 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 43 | |
| 14 | Investment Beneficial Analysis of Culture of Mountain Medical Plant Resources - Open field Culture of Schizandra - | 1 |
| 15 | Economic Value Analysis of Supercomputing Service for Small and Medium-sized Businesses | 2 |
| 16 | 40 | |
| 17 | Biological Detoxification of Lacquer Tree (Rhus verniciflua Stokes) Stem Bark by Mushroom Species | 31 |
| 18 | 88 | |
| 19 | Healing Effects of Squalene on the Epidermis in Burned Mouse | 1 |
| 20 | RAPD Pattern of Radiation Induced Variants of Oyster Mushroom(Pleurotus ostreatus) | 2 |
About Jae‐Sung Kim
Jae‐Sung Kim is a scholar working on Cancer Research, Rheumatology and Pharmacology, having authored 100 papers that have together received 2.7k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (17 papers), MicroRNA in disease regulation (10 papers) and Natural product bioactivities and synthesis (10 papers). The work is most often cited by research in Cancer Research (532 citations), Biotechnology (272 citations) and Rheumatology (437 citations). Jae‐Sung Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Do Kyung Kim, Su-Gwan Kim, Chun Sung Kim, André J. van Wijnen, Hong Sung Chun, Hee‐Jeong Im, Seul Ah Lee, Ji‐Su Oh, Sook‐Young Lee and John J. Lemasters. Their work appears in journals such as Journal of Biological Chemistry, Hepatology and Biochemical and Biophysical Research Communications.
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.