Kee Jun Kim
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Microbiology top 2%
- Bacterial Infections and Vaccines
Papers in
-
- S100 Proteins and Annexins 2
- Co-authors
- Kwang Sik Kim (6 shared papers)Jin Woong Chung (4 shared papers)Monique F. Stins (6 shared papers)Dennis J. Grab (6 shared papers)J. Stephen Dumler (4 shared papers)Jinho Park (4 shared papers)Simon J. Elliott (2 shared papers)Naveed Ahmed Khan (3 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Cellular Microbiology (2 papers)Infection and Immunity (2 papers)Cell and Tissue Research (1 paper)Journal of Neuroimmunology (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Kee Jun Kim
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Endocrinology 235
- Microbiology 184
- Parasitology 169
- Molecular Medicine 78
- Developmental Neuroscience 60
Countries citing papers authored by Kee Jun Kim
This map shows the geographic impact of Kee Jun 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 Kee Jun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kee Jun Kim more than expected).
Fields of papers citing papers by Kee Jun Kim
This network shows the impact of papers produced by Kee Jun 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 Kee Jun Kim. The network helps show where Kee Jun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Kee Jun 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 | 2002 | 125 | |
| 2 | 2010 | 109 | |
| 3 | 2003 | 109 | |
| 4 | 2009 | 108 | |
| 5 | 2004 | 108 | |
| 6 | 2004 | 108 | |
| 7 | 2003 | 99 | |
| 8 | 2005 | 97 | |
| 9 | 2004 | 80 | |
| 10 | 2013 | 64 | |
| 11 | 2003 | 62 | |
| 12 | 2007 | 43 | |
| 13 | 2006 | 29 | |
| 14 | 2002 | 16 | |
| 15 | 2003 | 14 | |
| 16 | 2016 | 8 | |
| 17 | 2005 | 6 |
About Kee Jun Kim
Kee Jun Kim is a scholar working on Immunology, Molecular Biology, Genetics, Microbiology and Parasitology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (4 papers), Bacterial Infections and Vaccines (3 papers), Escherichia coli research studies (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Trypanosoma species research and implications (2 papers), S100 Proteins and Annexins (2 papers), Nerve injury and regeneration (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Endocrinology (235 citations), Microbiology (184 citations), Parasitology (169 citations), Molecular Medicine (78 citations) and Developmental Neuroscience (60 citations). Kee Jun Kim has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Kwang Sik Kim, Jin Woong Chung, Monique F. Stins, Dennis J. Grab, J. Stephen Dumler, Jinho Park, Simon J. Elliott, Naveed Ahmed Khan, Ying Wang and Yuri V. Kim. Their work appears in journals such as Journal of Biological Chemistry, Cellular Microbiology, Infection and Immunity, Cell and Tissue Research and Journal of Neuroimmunology.
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.