Byung Hak Kim
- Molecular Biology
- Immunology top 10%
- Cancer Research top 10%
- Oncology
- Applied Mathematics top 5%
- Co-authors
- Kyung Rak MinSang‐Hun JungYeong Shik KimYoung‐Soo KimYong Eun ChungJin Tae HongTae‐Yoon KimSang‐Bae Han
- Topics
- Geometric Analysis and Curvature Flows (18 papers)NF-κB Signaling Pathways (12 papers)Geometry and complex manifolds (10 papers)
- Cited by
- Cancer ResearchToxicologyImmunology
- Journals
- Biochemical and Biophysical Research CommunicationsFEBS LettersFree Radical Biology and Medicine
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Byung Hak Kim
53 papers receiving 933 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 407
- Immunology 230
- Cancer Research 181
- Oncology 91
- Applied Mathematics 90
Countries citing papers authored by Byung Hak Kim
This map shows the geographic impact of Byung Hak 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 Byung Hak Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byung Hak Kim more than expected).
Fields of papers citing papers by Byung Hak Kim
This network shows the impact of papers produced by Byung Hak 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 Byung Hak Kim. The network helps show where Byung Hak Kim may publish in the future.
Co-authorship network of co-authors of Byung Hak Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Byung Hak Kim. A scholar is included among the top collaborators of Byung Hak 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 Byung Hak Kim. Byung Hak 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 | 68 | |
| 2 | A Study on Reference Values from Health Checkup Data of Korea Association of Health Promotion by Indirect Method: A Study on Standardization of Reference Values among Laboratories of Korea Association of Health Promotion II | 3 |
| 3 | 33 | |
| 4 | 55 | |
| 5 | 20 | |
| 6 | 22 | |
| 7 | 10 | |
| 8 | 9 | |
| 9 | 28 | |
| 10 | 12 | |
| 11 | 23 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 210 | |
| 15 | 5 | |
| 16 | 47 | |
| 17 | 5 | |
| 18 | CONHARMONIC TRANSFORMATION AND CRITICAL RIEMANNIAN METRICS | 2 |
| 19 | CONFORMALLY FLAT COSYMPLECTIC MANIFOLDS | 0 |
| 20 | 2 |
About Byung Hak Kim
Byung Hak Kim is a scholar working on Geometry and Topology, Applied Mathematics and Toxicology, having authored 57 papers that have together received 976 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (18 papers), NF-κB Signaling Pathways (12 papers) and Geometry and complex manifolds (10 papers). The work is most often cited by research in Cancer Research (181 citations), Toxicology (40 citations) and Immunology (230 citations). Byung Hak Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Kyung Rak Min, Sang‐Hun Jung, Yeong Shik Kim, Young‐Soo Kim, Yong Eun Chung, Jin Tae Hong, Tae‐Yoon Kim, Sang‐Bae Han, Min-Hee Kim and Chong‐Kil Lee. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Free Radical Biology and Medicine.
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.