Jun Saegusa

2.9k citations
108 papers · 2.1k · h-index 26

Impact in

Papers in

    • Immune Response and Inflammation 6
    • Immune cells in cancer 6
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 5
    • Rheumatoid Arthritis Research and Therapies 8
    • Systemic Lupus Erythematosus Research 7

Jun Saegusa

97 papers receiving 2.1k citations

Peers

Jun Saegusa
Comparison fields: 5 of 116
  • Immunology and Allergy 193
  • Immunology 575
  • Rheumatology 312
  • Cancer Research 180
  • Infectious Diseases 205
Replace Naotake Tsuboi with:
Naotake Tsuboi Japan
Shiro Ohshima Japan
Tomoko Hasunuma Japan
Konstantinos Kambas Greece
Satoko Arai Japan
Norma Maugeri Italy
Mitsuteru Akahoshi Japan
Carolyne K. Smith United States
Sinisa Savic United Kingdom
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Jun Saegusa relative to Naotake Tsuboi Japan Naotake Tsuboi's profile →
Citations per field
00.5×1.5×2.3×
Naotake Tsuboi · 1×
Citations per year

Countries citing papers authored by Jun Saegusa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Saegusa Line = papers co-authored together Jun Saegusa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011244
2 2008118
3 201799
4 200885
5 201784
6 201579
7 200979
8 200975
9 201566
10 201160
11 200751
12 201949
13 200845
14 201142
15 201841
16
[Pathological roles of oxidative stress in autoimmune diseases].
200341
17 201233
18 201433
19 201832
20 200631

About Jun Saegusa

Jun Saegusa is a scholar working on Immunology, Rheumatology, Molecular Biology, Oncology and Epidemiology, having authored 108 papers that have together received 2.1k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (8 papers), Systemic Lupus Erythematosus Research (7 papers), Immune Response and Inflammation (6 papers), Cell Adhesion Molecules Research (6 papers), Immune cells in cancer (6 papers), Immune Cell Function and Interaction (6 papers), Vasculitis and related conditions (5 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Immunology and Allergy (193 citations), Immunology (575 citations), Rheumatology (312 citations), Cancer Research (180 citations) and Infectious Diseases (205 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, T. Okano, Akira Ōnishi, Seiji Kawano, Yoko K. Takada and Keisuke Nishimura. Their work appears in journals such as Annals of the Rheumatic Diseases, Arthritis Research & Therapy, Modern Rheumatology, Lara D. Veeken 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.

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