Jun Saegusa
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Immunology top 5%
- Galectins and Cancer Biology
- Immune Cell Function and Interaction
Papers in
- Rheumatology 27
- Systemic Lupus Erythematosus Research 11
- Rheumatoid Arthritis Research and Therapies 11
- Immunology 31
- Immune Response and Inflammation 9
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 7
- Immune cells in cancer 6
- Co-authors
- Akio MorinobuShunichi KumagaiFu‐Tong LiuSho SendoS. TakahashiAkira ŌnishiT. OkanoSeiji Kawano
- Journals
- Annals of the Rheumatic Diseases (8 papers)Modern Rheumatology (7 papers)Arthritis Research & Therapy (7 papers)Lara D. Veeken (5 papers)Scientific Reports (4 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Jun Saegusa
94 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 119
- Immunology and Allergy 212
- Immunology 640
- Rheumatology 364
- Cancer Research 207
- Infectious Diseases 246
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 15 | |
| 14 | 2019 | 6 | |
| 15 | 2019 | 46 | |
| 16 | 2018 | 15 | |
| 17 | 2017 | 4 | |
| 18 | 2017 | 15 | |
| 19 | [Usefulness of anti-SS-A/Ro antibody measurement based on fluorescence enzyme immunoassay with Ro60 and Ro52 antigen]. | 2011 | 1 |
| 20 | 2008 | 85 |
About Jun Saegusa
Jun Saegusa is a scholar working on Rheumatology, Immunology, Immunology and Allergy, Hematology and Oncology, having authored 108 papers that have together received 2.1k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (11 papers), Rheumatoid Arthritis Research and Therapies (11 papers), Immune Response and Inflammation (9 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (7 papers), Immune cells in cancer (6 papers) and Cell Adhesion Molecules Research (6 papers). The work is most often cited by research in Immunology and Allergy (212 citations), Immunology (640 citations), Rheumatology (364 citations), Cancer Research (207 citations) and Infectious Diseases (246 citations). Jun Saegusa has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Akio Morinobu, Shunichi Kumagai, Fu‐Tong Liu, Sho Sendo, S. Takahashi, Akira Ōnishi, T. Okano, Seiji Kawano, Yoko K. Takada and Yoshikazu Takada. Their work appears in journals such as Annals of the Rheumatic Diseases, Modern Rheumatology, Arthritis Research & Therapy, Lara D. Veeken and Scientific Reports.
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.