Jin Mo Park
Impact in
- Immunology top 1%
- Immune Response and Inflammation
- Immune cells in cancer
- Cancer Research top 1%
- NF-κB Signaling Pathways
Papers in
-
- Bacillus and Francisella bacterial research 8
- RNA Research and Splicing 7
- Melanoma and MAPK Pathways 7
- Genomics and Chromatin Dynamics 7
- Immunology 24
- Immunotherapy and Immune Responses 6
- Co-authors
- Michael Karin (12 shared papers)Florian R. Greten (3 shared papers)Zhiwei Li (2 shared papers)Lars Eckmann (2 shared papers)Laurence J. Egan (1 shared paper)Tim F. Greten (1 shared paper)Martin F. Kagnoff (1 shared paper)Yasuyo Sano (17 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)Molecular and Cellular Biology (5 papers)Proceedings of the National Academy of Sciences (5 papers)The Journal of Immunology (4 papers)Molecules and Cells (3 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Jin Mo Park
78 papers receiving 6.4k citations
Jin Mo Park's Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 2.0k
- Cancer Research 1.2k
- Oncology 1.2k
- Molecular Biology 3.2k
- Aging 64
Countries citing papers authored by Jin Mo Park
This map shows the geographic impact of Jin Mo Park'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 Jin Mo Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Mo Park more than expected).
Fields of papers citing papers by Jin Mo Park
This network shows the impact of papers produced by Jin Mo Park. 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 Jin Mo Park. The network helps show where Jin Mo Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Mo Park, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IKKβ Links Inflammation and Tumorigenesis in a Mouse Model of Colitis-Associated Cancer Hit paper breakdown → | 2004 | 2016 |
| 2 | 2002 | 395 | |
| 3 | 2010 | 342 | |
| 4 | 2004 | 314 | |
| 5 | 2008 | 269 | |
| 6 | 2005 | 263 | |
| 7 | 2008 | 234 | |
| 8 | 2005 | 219 | |
| 9 | 2004 | 187 | |
| 10 | 2004 | 149 | |
| 11 | 1999 | 135 | |
| 12 | 2001 | 125 | |
| 13 | 2008 | 124 | |
| 14 | 2010 | 103 | |
| 15 | 2000 | 102 | |
| 16 | 2008 | 81 | |
| 17 | 2006 | 74 | |
| 18 | 2009 | 73 | |
| 19 | 2010 | 67 | |
| 20 | 2017 | 66 |
About Jin Mo Park
Jin Mo Park is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Nutrition and Dietetics, having authored 79 papers that have together received 6.5k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (8 papers), NF-κB Signaling Pathways (8 papers), RNA Research and Splicing (7 papers), Melanoma and MAPK Pathways (7 papers), Cytokine Signaling Pathways and Interactions (7 papers), Genomics and Chromatin Dynamics (7 papers), Selenium in Biological Systems (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Immunology (2.0k citations), Cancer Research (1.2k citations), Oncology (1.2k citations), Molecular Biology (3.2k citations) and Aging (64 citations). Jin Mo Park has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Michael Karin, Florian R. Greten, Zhiwei Li, Lars Eckmann, Laurence J. Egan, Tim F. Greten, Martin F. Kagnoff, Yasuyo Sano, Shin Maeda and J. Simon C. Arthur. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, The Journal of Immunology and Molecules and Cells.
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.