Jun Saegusa
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Immunology top 5%
- Galectins and Cancer Biology
- Immune Cell Function and Interaction
Papers in
- Rheumatology 27
- Rheumatoid Arthritis Research and Therapies 12
- Systemic Lupus Erythematosus Research 7
- Immunology 24
- Immune Cell Function and Interaction 6
- Immune cells in cancer 6
- Immune Response and Inflammation 6
- Co-authors
- Akio Morinobu (45 shared papers)Fu‐Tong Liu (8 shared papers)Sho Sendo (20 shared papers)Shunichi Kumagai (22 shared papers)Soshi TAKAHASHI (8 shared papers)Akira Onishi (13 shared papers)T. Okano (12 shared papers)Seiji Kawano (7 shared papers)
- Journals
- Lara D. Veeken (8 papers)Arthritis Research & Therapy (7 papers)Modern Rheumatology (7 papers)Journal of Biological Chemistry (4 papers)PLoS ONE (4 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Jun Saegusa
102 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 112
- Immunology and Allergy 205
- Immunology 594
- Rheumatology 357
- Cancer Research 190
- Infectious Diseases 239
Countries citing papers authored by Jun Saegusa
This map shows the geographic impact of Jun Saegusa'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 Saegusa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Saegusa more than expected).
Fields of papers citing papers by Jun Saegusa
This network shows the impact of papers produced by Jun Saegusa. 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 Saegusa. The network helps show where Jun Saegusa may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Saegusa, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 267 | |
| 2 | 2008 | 128 | |
| 3 | 2017 | 104 | |
| 4 | 2008 | 87 | |
| 5 | 2009 | 87 | |
| 6 | 2017 | 85 | |
| 7 | 2015 | 83 | |
| 8 | 2009 | 79 | |
| 9 | 2015 | 71 | |
| 10 | 2011 | 64 | |
| 11 | 2007 | 55 | |
| 12 | 2019 | 52 | |
| 13 | 2008 | 47 | |
| 14 | 2018 | 46 | |
| 15 | 2011 | 45 | |
| 16 | 2014 | 35 | |
| 17 | 2018 | 34 | |
| 18 | 2012 | 33 | |
| 19 | 2002 | 32 | |
| 20 | 2006 | 32 |
About Jun Saegusa
Jun Saegusa is a scholar working on Rheumatology, Immunology, Hematology, Immunology and Allergy and Infectious Diseases, having authored 110 papers that have together received 2.3k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (12 papers), Vasculitis and related conditions (7 papers), Systemic Lupus Erythematosus Research (7 papers), Immune Cell Function and Interaction (6 papers), Cell Adhesion Molecules Research (6 papers), Immune cells in cancer (6 papers), Immune Response and Inflammation (6 papers) and Acute Myeloid Leukemia Research (6 papers). The work is most often cited by research in Immunology and Allergy (205 citations), Immunology (594 citations), Rheumatology (357 citations), Cancer Research (190 citations) and Infectious Diseases (239 citations). Jun Saegusa has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Akio Morinobu, Fu‐Tong Liu, Sho Sendo, Shunichi Kumagai, Soshi TAKAHASHI, Akira Onishi, T. Okano, Seiji Kawano, Daisuke Sugiyama and Yoko K. Takada. Their work appears in journals such as Lara D. Veeken, Arthritis Research & Therapy, Modern Rheumatology, Journal of Biological Chemistry and PLoS ONE.
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.