Jae‐Beom Kim
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
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- Mobile Ad Hoc Networks 9
- Wireless Networks and Protocols 7
- Opportunistic and Delay-Tolerant Networks 7
- Cooperative Communication and Network Coding 5
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- Bone Metabolism and Diseases 5
- Wnt/β-catenin signaling in development and cancer 4
- Co-authors
- Jill A. Helms (10 shared papers)Philipp Leucht (9 shared papers)Cynthia A. Luppen (3 shared papers)Young‐Bae Ko (16 shared papers)John Brunski (2 shared papers)Jennifer A. Currey (2 shared papers)Kevin Wei (1 shared paper)Calvin J. Kuo (1 shared paper)
- Journals
- PLoS ONE (4 papers)Bone (2 papers)Nature Communications (1 paper)Advanced Optical Materials (1 paper)IEEE Access (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Jae‐Beom Kim
45 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 122
- Genetics 235
- Hematology 168
- Oral Surgery 91
- Immunology and Allergy 75
- Cell Biology 190
Countries citing papers authored by Jae‐Beom Kim
This map shows the geographic impact of Jae‐Beom 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‐Beom 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‐Beom Kim more than expected).
Fields of papers citing papers by Jae‐Beom Kim
This network shows the impact of papers produced by Jae‐Beom 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‐Beom Kim. The network helps show where Jae‐Beom Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae‐Beom 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 323 | |
| 2 | 2007 | 194 | |
| 3 | 2000 | 176 | |
| 4 | 2006 | 138 | |
| 5 | 2007 | 134 | |
| 6 | 2010 | 128 | |
| 7 | 2007 | 92 | |
| 8 | 2010 | 77 | |
| 9 | 2007 | 64 | |
| 10 | 2008 | 61 | |
| 11 | 2012 | 59 | |
| 12 | 2011 | 50 | |
| 13 | 2008 | 46 | |
| 14 | 2019 | 45 | |
| 15 | 2011 | 45 | |
| 16 | 2015 | 32 | |
| 17 | 2014 | 30 | |
| 18 | 2007 | 30 | |
| 19 | 2017 | 28 | |
| 20 | 2019 | 25 |
About Jae‐Beom Kim
Jae‐Beom Kim is a scholar working on Computer Networks and Communications, Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering and Control and Systems Engineering, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (9 papers), Wireless Networks and Protocols (7 papers), Opportunistic and Delay-Tolerant Networks (7 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers), Bone Metabolism and Diseases (5 papers), Smart Grid Security and Resilience (5 papers), Cooperative Communication and Network Coding (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). The work is most often cited by research in Genetics (235 citations), Hematology (168 citations), Oral Surgery (91 citations), Immunology and Allergy (75 citations) and Cell Biology (190 citations). Jae‐Beom Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Jill A. Helms, Philipp Leucht, Cynthia A. Luppen, Young‐Bae Ko, John Brunski, Jennifer A. Currey, Kevin Wei, Calvin J. Kuo, Daniel Kraft and Ching‐Cheng Chen. Their work appears in journals such as PLoS ONE, Bone, Nature Communications, Advanced Optical Materials and IEEE Access.
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.