Jung‐whan Kim
- Molecular Biology top 0.5%
- Cancer Research top 0.1%
- Physiology top 1%
- Oncology top 2%
- Immunology top 2%
- Co-authors
- Chi V. DangGregg L. SemenzaIrina TchernyshyovPing GaoJason T. YusteinHuafeng ZhangRyo FukudaLarissa A. Shimoda
- Topics
- Cancer, Hypoxia, and Metabolism (24 papers)Metabolism, Diabetes, and Cancer (10 papers)Mitochondrial Function and Pathology (6 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Jung‐whan Kim
45 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 6.3k
- Cancer Research 5.3k
- Physiology 1.3k
- Oncology 1.2k
- Immunology 1.0k
Countries citing papers authored by Jung‐whan Kim
This map shows the geographic impact of Jung‐whan 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 Jung‐whan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung‐whan Kim more than expected).
Fields of papers citing papers by Jung‐whan Kim
This network shows the impact of papers produced by Jung‐whan 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 Jung‐whan Kim. The network helps show where Jung‐whan Kim may publish in the future.
Co-authorship network of co-authors of Jung‐whan Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jung‐whan Kim. A scholar is included among the top collaborators of Jung‐whan 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 Jung‐whan Kim. Jung‐whan 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 | 0 | |
| 2 | 18 | |
| 3 | 124 | |
| 4 | 41 | |
| 5 | 146 | |
| 6 | Increased Adipocyte O2 Consumption Triggers HIF-1α, Causing Inflammation and Insulin Resistance in Obesitybreakdown → | 468 |
| 7 | 162 | |
| 8 | 12 | |
| 9 | 51 | |
| 10 | Differential activation and antagonistic function of HIF-α isoforms in macrophages are essential for NO homeostasisbreakdown → | 501 |
| 11 | 3 | |
| 12 | Graph Cut-based Automatic Color Image Segmentation using Mean Shift Analysis | 3 |
| 13 | 132 | |
| 14 | HIF-1 Regulates Cytochrome Oxidase Subunits to Optimize Efficiency of Respiration in Hypoxic Cellsbreakdown → | 967 |
| 15 | 195 | |
| 16 | HIF-1-mediated expression of pyruvate dehydrogenase kinase: A metabolic switch required for cellular adaptation to hypoxiabreakdown → | 3031 |
| 17 | Multifaceted roles of glycolytic enzymesbreakdown → | 538 |
| 18 | 300 | |
| 19 | 41 | |
| 20 | 32 |
About Jung‐whan Kim
Jung‐whan Kim is a scholar working on Cancer Research, Molecular Biology and Biotechnology, having authored 46 papers that have together received 10.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (24 papers), Metabolism, Diabetes, and Cancer (10 papers) and Mitochondrial Function and Pathology (6 papers). The work is most often cited by research in Cancer Research (5.3k citations), Molecular Biology (6.3k citations) and Physiology (1.3k citations). Jung‐whan Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Chi V. Dang, Gregg L. Semenza, Irina Tchernyshyov, Ping Gao, Jason T. Yustein, Huafeng Zhang, Ryo Fukuda, Larissa A. Shimoda, Kathryn A. O’Donnell and Karen Zeller. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature 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.