Won Kon Kim
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
- Physiology 22
- Adipose Tissue and Metabolism 19
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- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Kwang‐Hee BaeEun‐Woo LeeJi-Yoon LeeSang Chul LeeKyoung‐Jin OhBaek‐Soo HanMin Wook KimYong Ko
- Journals
- BMB Reports (7 papers)Biochemical and Biophysical Research Communications (5 papers)Molecules and Cells (4 papers)Molecular and Cellular Endocrinology (2 papers)Metabolism (2 papers)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Won Kon Kim
52 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Cancer Research 433
- Molecular Biology 999
- Physiology 355
- Geriatrics and Gerontology 52
- Pulmonary and Respiratory Medicine 423
Countries citing papers authored by Won Kon Kim
This map shows the geographic impact of Won Kon 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 Won Kon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Kon Kim more than expected).
Fields of papers citing papers by Won Kon Kim
This network shows the impact of papers produced by Won Kon 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 Won Kon Kim. The network helps show where Won Kon Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Won Kon 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 22 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 9 | |
| 5 | 2021 | 86 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2018 | 29 | |
| 10 | 2017 | 35 | |
| 11 | 2015 | 27 | |
| 12 | 2015 | 29 | |
| 13 | 2014 | 21 | |
| 14 | 2014 | 48 | |
| 15 | 2013 | 26 | |
| 16 | 2013 | 19 | |
| 17 | 2012 | 74 | |
| 18 | 2011 | 21 | |
| 19 | 2011 | 49 | |
| 20 | 2010 | 9 |
About Won Kon Kim
Won Kon Kim is a scholar working on Physiology, Cancer Research, Geriatrics and Gerontology, Molecular Biology and Epidemiology, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (19 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Ubiquitin and proteasome pathways (7 papers), Protein Tyrosine Phosphatases (6 papers), RNA modifications and cancer (5 papers), Retinoids in leukemia and cellular processes (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Cancer Research (433 citations), Molecular Biology (999 citations), Physiology (355 citations), Geriatrics and Gerontology (52 citations) and Pulmonary and Respiratory Medicine (423 citations). Won Kon Kim has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Kwang‐Hee Bae, Eun‐Woo Lee, Ji-Yoon Lee, Sang Chul Lee, Sang Chul Lee, Kyoung‐Jin Oh, Baek‐Soo Han, Min Wook Kim, Yong Ko and Eun Young Kim. Their work appears in journals such as BMB Reports, Biochemical and Biophysical Research Communications, Molecules and Cells, Molecular and Cellular Endocrinology and Metabolism.
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.