Bae-Hoon Kim
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
Papers in
-
- Inflammasome and immune disorders 4
- Immunology 10
- interferon and immune responses 6
- Immune Response and Inflammation 5
- Co-authors
- John D. MacMicking (12 shared papers)Avinash R. Shenoy (4 shared papers)Pradeep Kumar (2 shared papers)Sangeeta Tiwari (2 shared papers)YongKeun Park (13 shared papers)Clinton J. Bradfield (4 shared papers)Rituparna Das (2 shared papers)Eui‐Soon Park (4 shared papers)
- Journals
- Microbiology (5 papers)Science (3 papers)Journal of Bacteriology (3 papers)Cells (2 papers)Cell Host & Microbe (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Bae-Hoon Kim
34 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 115
- Endocrinology 203
- Immunology 722
- Parasitology 181
- Physiology 67
- Epidemiology 448
Countries citing papers authored by Bae-Hoon Kim
This map shows the geographic impact of Bae-Hoon 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 Bae-Hoon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bae-Hoon Kim more than expected).
Fields of papers citing papers by Bae-Hoon Kim
This network shows the impact of papers produced by Bae-Hoon 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 Bae-Hoon Kim. The network helps show where Bae-Hoon Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Bae-Hoon 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 384 | |
| 2 | 2012 | 226 | |
| 3 | 2020 | 206 | |
| 4 | 2012 | 143 | |
| 5 | 2000 | 126 | |
| 6 | 2016 | 120 | |
| 7 | 2005 | 108 | |
| 8 | 2013 | 95 | |
| 9 | 2007 | 70 | |
| 10 | 2021 | 66 | |
| 11 | 2011 | 60 | |
| 12 | 2007 | 49 | |
| 13 | 2018 | 40 | |
| 14 | 2024 | 30 | |
| 15 | 2007 | 30 | |
| 16 | 2013 | 25 | |
| 17 | 2001 | 17 | |
| 18 | 2013 | 14 | |
| 19 | 2021 | 12 | |
| 20 | A Monitoring Way and Installation of Monitoring System using Intelligent CCTV under the u-City Environment | 2008 | 8 |
About Bae-Hoon Kim
Bae-Hoon Kim is a scholar working on Molecular Biology, Immunology, Food Science, Endocrinology and Ecology, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (9 papers), interferon and immune responses (6 papers), Vibrio bacteria research studies (5 papers), Escherichia coli research studies (5 papers), Bacteriophages and microbial interactions (5 papers), Immune Response and Inflammation (5 papers), Bacterial Genetics and Biotechnology (5 papers) and Inflammasome and immune disorders (4 papers). The work is most often cited by research in Endocrinology (203 citations), Immunology (722 citations), Parasitology (181 citations), Physiology (67 citations) and Epidemiology (448 citations). Bae-Hoon Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include John D. MacMicking, Avinash R. Shenoy, Pradeep Kumar, Sangeeta Tiwari, YongKeun Park, Clinton J. Bradfield, Rituparna Das, Eui‐Soon Park, Iel Soo Bang and Takeshi Matsuzawa. Their work appears in journals such as Microbiology, Science, Journal of Bacteriology, Cells and Cell Host & Microbe.
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.