Jun‐Geol Ryu
- Immunology top 10%
- T-cell and B-cell Immunology 8
- Psoriasis: Treatment and Pathogenesis 7
- Immunotherapy and Immune Responses 5
- interferon and immune responses 2
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies 6
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 7
- Hematology top 10%
- Autoimmune and Inflammatory Disorders Research 3
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- NF-κB Signaling Pathways 3
- Co-authors
- Mi‐La ChoSung‐Hwan ParkHo‐Youn KimSeung‐Ki KwokEun‐Kyung KimJin‐Sil ParkSeon-Yeong LeeJi Hyeon Ju
- Cited by
- ImmunologyRheumatologyOncology
- Journals
- Arthritis Research & Therapy (4 papers)Arthritis & Rheumatology (3 papers)The Journal of Immunology (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Jun‐Geol Ryu
22 papers receiving 826 citations
Peers
Comparison fields: 5 of 79
- Immunology 398
- Rheumatology 170
- Oncology 241
- Hematology 70
- Cancer Research 85
Countries citing papers authored by Jun‐Geol Ryu
This map shows the geographic impact of Jun‐Geol Ryu'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 Jun‐Geol Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Geol Ryu more than expected).
Fields of papers citing papers by Jun‐Geol Ryu
This network shows the impact of papers produced by Jun‐Geol Ryu. 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 Jun‐Geol Ryu. The network helps show where Jun‐Geol Ryu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun‐Geol Ryu, 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 | 2022 | 2 | |
| 2 | 2021 | 8 | |
| 3 | 2020 | 19 | |
| 4 | 2020 | 23 | |
| 5 | 2019 | 45 | |
| 6 | 2019 | 21 | |
| 7 | 2019 | 5 | |
| 8 | 2018 | 85 | |
| 9 | 2018 | 12 | |
| 10 | 2018 | 0 | |
| 11 | 2017 | 32 | |
| 12 | 2014 | 16 | |
| 13 | Gene-Associated Retinoid-Interferon-Induced Mortality 19 (GRIM-19) Attenuates Autoimmune Arthritis by Regulation of Th17 and Treg Cells | 2014 | 6 |
| 14 | 2014 | 32 | |
| 15 | 2013 | 65 | |
| 16 | 2013 | 96 | |
| 17 | 2013 | 96 | |
| 18 | 2013 | 32 | |
| 19 | 2012 | 2 | |
| 20 | 2012 | 59 |
About Jun‐Geol Ryu
Jun‐Geol Ryu is a scholar working on Immunology, Rheumatology, Biological Psychiatry, Hematology and Oncology, having authored 23 papers that have together received 833 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Psoriasis: Treatment and Pathogenesis (7 papers), Cytokine Signaling Pathways and Interactions (7 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Immunotherapy and Immune Responses (5 papers), Autoimmune and Inflammatory Disorders Research (3 papers), NF-κB Signaling Pathways (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Immunology (398 citations), Rheumatology (170 citations), Oncology (241 citations), Hematology (70 citations) and Cancer Research (85 citations). Jun‐Geol Ryu has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Mi‐La Cho, Sung‐Hwan Park, Ho‐Youn Kim, Seung‐Ki Kwok, Eun‐Kyung Kim, Jin‐Sil Park, Seon-Yeong Lee, Ji Hyeon Ju, Young‐Mee Moon and Mi‐Ae Lim. Their work appears in journals such as Arthritis Research & Therapy, Arthritis & Rheumatology, The Journal of Immunology, Journal of Translational Medicine and Frontiers in Immunology.
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.