Jeong-Eun Kwon
Impact in
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Immunology 10
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immunodeficiency and Autoimmune Disorders 3
- Immune Response and Inflammation 3
- Atherosclerosis and Cardiovascular Diseases 2
- Co-authors
- Mi‐La Cho (13 shared papers)Sung‐Hwan Park (11 shared papers)Eun‐Kyung Kim (8 shared papers)Seung‐Ki Kwok (5 shared papers)Eunjung Lee (2 shared papers)Seon-Young Lee (2 shared papers)Jennifer Lee (2 shared papers)Su‐Jin Moon (1 shared paper)
- Journals
- Immunology Letters (5 papers)PLoS ONE (2 papers)Frontiers in Immunology (2 papers)Food Research International (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Jeong-Eun Kwon
23 papers receiving 636 citations
Peers
Comparison fields: 5 of 93
- Rheumatology 118
- Cancer Research 94
- Immunology 135
- Biological Psychiatry 12
- Molecular Biology 267
Countries citing papers authored by Jeong-Eun Kwon
This map shows the geographic impact of Jeong-Eun Kwon'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 Jeong-Eun Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeong-Eun Kwon more than expected).
Fields of papers citing papers by Jeong-Eun Kwon
This network shows the impact of papers produced by Jeong-Eun Kwon. 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 Jeong-Eun Kwon. The network helps show where Jeong-Eun Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeong-Eun Kwon, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 176 | |
| 2 | 2018 | 90 | |
| 3 | 2013 | 85 | |
| 4 | 2016 | 52 | |
| 5 | 2017 | 33 | |
| 6 | 2020 | 31 | |
| 7 | 2017 | 28 | |
| 8 | 2017 | 22 | |
| 9 | 2017 | 19 | |
| 10 | 2016 | 18 | |
| 11 | 2018 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2017 | 11 | |
| 14 | 2013 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2017 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2019 | 4 |
About Jeong-Eun Kwon
Jeong-Eun Kwon is a scholar working on Immunology, Molecular Biology, Epidemiology, Pharmacology and Pathology and Forensic Medicine, having authored 24 papers that have together received 644 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Tea Polyphenols and Effects (3 papers), Immune Response and Inflammation (3 papers), Advanced Glycation End Products research (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Rheumatology (118 citations), Cancer Research (94 citations), Immunology (135 citations), Biological Psychiatry (12 citations) and Molecular Biology (267 citations). Jeong-Eun Kwon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Mi‐La Cho, Sung‐Hwan Park, Eun‐Kyung Kim, Seung‐Ki Kwok, Eunjung Lee, Seon-Young Lee, Jennifer Lee, Su‐Jin Moon, Dasom Kim and Seo‐Young Kwak. Their work appears in journals such as Immunology Letters, PLoS ONE, Frontiers in Immunology, Food Research International and American Journal Of Pathology.
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.