Kazuyoshi Saito

12.0k citations
314 papers · 8.2k indexed · h-index 50

Kazuyoshi Saito

298 papers receiving 8.0k citations

Peers

Kazuyoshi Saito
Comparison fields: 5 of 136
  • Rheumatology 3.3k
  • Immunology 2.2k
  • Hematology 996
  • Genetics 904
  • Immunology and Allergy 361
Replace Kunihiro Yamaoka with:
Kunihiro Yamaoka Japan
Tsuneyo Mimori Japan
Shingo Nakayamada Japan
Yoshinari Takasaki Japan
Elisabeth Brouwer Netherlands
Gabor G. Illei United States
Gunnar Sturfelt Sweden
William Stohl United States
Elias Toubi Israel
Heribert Jürgens Germany
Kazuyoshi Saito relative to Kunihiro Yamaoka Japan Kunihiro Yamaoka's profile →
Citations per field
00.5×1.5×2.0×
Kunihiro Yamaoka · 1×
Citations per year

Countries citing papers authored by Kazuyoshi Saito

Since Specialization
Citations

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

Fields of papers citing papers by Kazuyoshi Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20217
3 20212
4 20210
5 20203
6 20187
7 20188
8
Clinical, radiographic and functional efficacy of abatacept in routine care for rheumatoid arthritis patients: Abatacept Leading Trial for RA on Imaging Remission (ALTAIR) study.
20176
9 20143
10 201418
11 20081
12
[Efficacy of tacrolimus for joint destruction in rheumatoid arthritis].
20072
13 200739
14 200420
15 200318
16
Diffusion Model for Multimedia and Mobile Traffic based on Population Process for Active Users in a Micro-Cell.
20000
17 19984
18 199348
19 198882
20 19871

About Kazuyoshi Saito

Kazuyoshi Saito is a scholar working on Rheumatology, Hematology and Immunology and Allergy, having authored 314 papers that have together received 8.2k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (75 papers), Systemic Lupus Erythematosus Research (71 papers), Monoclonal and Polyclonal Antibodies Research (35 papers), Autoimmune and Inflammatory Disorders Research (33 papers), Lymphoma Diagnosis and Treatment (25 papers), Chronic Lymphocytic Leukemia Research (23 papers), T-cell and B-cell Immunology (21 papers) and Cell Adhesion Molecules Research (19 papers). The work is most often cited by research in Rheumatology (3.3k citations), Immunology (2.2k citations) and Hematology (996 citations). Kazuyoshi Saito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshiya Tanaka, Shingo Nakayamada, Masao Nawata, Kazuhisa Nakano, S. Iwata, Kunihiro Yamaoka, Satoshi Kubo, Tsutomu Takeuchi, Shizuyo Tsujimura and Hideto Kameda. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

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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