Ryosuke Saigusa

2.3k citations
59 papers · 1.5k · 1 hit paper · h-index 20

Impact in

Papers in

Ryosuke Saigusa

58 papers receiving 1.5k citations

Hit Papers

T cell subsets and functions in atherosclerosis 2020 · 476 citations
4760+2+4Years since publication100200300400

Peers

Ryosuke Saigusa
Comparison fields: 5 of 91
  • Immunology 764
  • Pathology and Forensic Medicine 630
  • Dermatology 240
  • Rheumatology 169
  • Epidemiology 292
Replace Eiji Muroi with:
Eiji Muroi Japan
Takashi Yamashita Japan
Silvia Svegliati Italy
Takemichi Fukasawa Japan
Toshihide Hara Japan
Kouki Nakamura Japan
Elvira Favoino Italy
Lukasz Stawski United States
Alessandra Nerviani United Kingdom
Neng‐Yu Lin Germany
Ryosuke Saigusa relative to Eiji Muroi Japan Eiji Muroi's profile →
Citations per field
00.5×3.6×
Eiji Muroi · 1×
Citations per year

Countries citing papers authored by Ryosuke Saigusa

Since Specialization
Citations

This map shows the geographic impact of Ryosuke Saigusa'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 Ryosuke Saigusa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryosuke Saigusa more than expected).

Fields of papers citing papers by Ryosuke Saigusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryosuke Saigusa. 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 Ryosuke Saigusa. The network helps show where Ryosuke Saigusa may publish in the future.

Co-authors

The 25 scholars most cited alongside Ryosuke Saigusa, 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 Ryosuke Saigusa Line = papers co-authored together Ryosuke Saigusa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
T cell subsets and functions in atherosclerosis
Hit paper breakdown →
2020476
2 2014109
3 201765
4 201757
5 201551
6 201841
7 201439
8 201437
9 201636
10 201935
11 201733
12 201633
13 201532
14 201527
15 201825
16 201725
17 201523
18 201721
19 201821
20 201820

About Ryosuke Saigusa

Ryosuke Saigusa is a scholar working on Pathology and Forensic Medicine, Immunology, Dermatology, Epidemiology and Rheumatology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (47 papers), Dermatologic Treatments and Research (12 papers), Mast cells and histamine (12 papers), Inflammatory Myopathies and Dermatomyositis (10 papers), Skin Diseases and Diabetes (9 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Eosinophilic Disorders and Syndromes (8 papers) and Atherosclerosis and Cardiovascular Diseases (7 papers). The work is most often cited by research in Immunology (764 citations), Pathology and Forensic Medicine (630 citations), Dermatology (240 citations), Rheumatology (169 citations) and Epidemiology (292 citations). Ryosuke Saigusa has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Klaus Ley, Holger Winkels, Yoshihide Asano, Shinichi Sato, Takashi Yamashita, Takehiro Takahashi, Takashi Taniguchi, Yohei Ichimura, Kouki Nakamura and Tetsuo Toyama. Their work appears in journals such as The Journal of Dermatology, Journal of Dermatological Science, Experimental Dermatology, Journal of Investigative Dermatology and Lara D. Veeken.

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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