Jin‐Kwang Kim
Impact in
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
- Aging top 10%
Papers in
-
- Ginseng Biological Effects and Applications 11
- Genomics and Phylogenetic Studies 5
- Plant tissue culture and regeneration 5
- Muscle Physiology and Disorders 4
- Polyamine Metabolism and Applications 4
-
- Telomeres, Telomerase, and Senescence 6
- Co-authors
- Sun‐Chang Kim (11 shared papers)Chang-Hao Cui (6 shared papers)Wan‐Taek Im (7 shared papers)Min-Ho Yoon (7 shared papers)Feng Qiao (8 shared papers)Qingmei Liu (6 shared papers)Lin‐Woo Kang (17 shared papers)Jinqiang Liu (5 shared papers)
- Journals
- Antonie van Leeuwenhoek (5 papers)Cell Reports (3 papers)The Journal of Microbiology (3 papers)Archives of Biochemistry and Biophysics (2 papers)PLoS ONE (2 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Jin‐Kwang Kim
50 papers receiving 752 citations
Peers
Comparison fields: 5 of 83
- Pharmacology 147
- Aging 28
- Microbiology 8
- Molecular Biology 547
- Physiology 157
Countries citing papers authored by Jin‐Kwang Kim
This map shows the geographic impact of Jin‐Kwang 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 Jin‐Kwang Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Kwang Kim more than expected).
Fields of papers citing papers by Jin‐Kwang Kim
This network shows the impact of papers produced by Jin‐Kwang 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 Jin‐Kwang Kim. The network helps show where Jin‐Kwang Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin‐Kwang Kim, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 103 | |
| 2 | 2012 | 54 | |
| 3 | 2013 | 49 | |
| 4 | 2014 | 47 | |
| 5 | 2013 | 38 | |
| 6 | 2014 | 37 | |
| 7 | 2015 | 37 | |
| 8 | 2014 | 33 | |
| 9 | 2013 | 31 | |
| 10 | 2014 | 26 | |
| 11 | 2017 | 24 | |
| 12 | 2012 | 20 | |
| 13 | 2012 | 18 | |
| 14 | 2013 | 17 | |
| 15 | 2013 | 17 | |
| 16 | 2016 | 15 | |
| 17 | 2011 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2015 | 13 | |
| 20 | 2012 | 13 |
About Jin‐Kwang Kim
Jin‐Kwang Kim is a scholar working on Molecular Biology, Physiology, Pharmacology, Materials Chemistry and Civil and Structural Engineering, having authored 52 papers that have together received 765 indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (11 papers), Telomeres, Telomerase, and Senescence (6 papers), Enzyme Structure and Function (5 papers), Pharmacological Effects of Natural Compounds (5 papers), Genomics and Phylogenetic Studies (5 papers), Plant tissue culture and regeneration (5 papers), Muscle Physiology and Disorders (4 papers) and Polyamine Metabolism and Applications (4 papers). The work is most often cited by research in Pharmacology (147 citations), Aging (28 citations), Microbiology (8 citations), Molecular Biology (547 citations) and Physiology (157 citations). Jin‐Kwang Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Sun‐Chang Kim, Chang-Hao Cui, Wan‐Taek Im, Min-Ho Yoon, Feng Qiao, Qingmei Liu, Lin‐Woo Kang, Jinqiang Liu, Hyun-Ik Jun and Sung Chul Park. Their work appears in journals such as Antonie van Leeuwenhoek, Cell Reports, The Journal of Microbiology, Archives of Biochemistry and Biophysics and PLoS ONE.
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.