Tsutomu Takeuchi

54.1k citations
1.2k papers · 30.6k indexed · 7 hit papers · h-index 81

Tsutomu Takeuchi

1.1k papers receiving 29.7k citations

Hit Papers

Transl...441196620261986200650010001.5k

Peers

Tsutomu Takeuchi
Comparison fields: 5 of 194
  • Rheumatology 12.5k
  • Hematology 4.8k
  • Immunology 8.9k
  • Genetics 3.4k
  • Parasitology 1.7k
Replace Georg Schett with:
Georg Schett Germany
Iain B. McInnes United Kingdom
Peter E. Lipsky United States
Leo A. B. Joosten Netherlands
T. Huizinga Netherlands
David Isenberg United Kingdom
Dennis A. Carson United States
Warren Strober United States
Ronald G. Crystal United States
Robert A. Good United States
Tsutomu Takeuchi relative to Georg Schett Germany Georg Schett's profile →
Citations per field
00.5×5.2×
Georg Schett · 1×
Citations per year

Countries citing papers authored by Tsutomu Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Tsutomu Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20248
4 20232
5 20232
6 20234
7 20229
8 202256
9 202290
10
Translating IL-6 biology into effective treatmentsbreakdown →
2020441
11 202017
12 2019108
13 20194
14 201720
15 201727
16 2016124
17 201318
18 201224
19
Parasitological monitoring of helminth control program in Northern Thailand.
20087
20
A functional polymorphism in fas (CD95/APO-1) gene promoter associated with systemic lupus erythematosus.
2002114

About Tsutomu Takeuchi

Tsutomu Takeuchi is a scholar working on Rheumatology, Genetics and Hematology, having authored 1.2k papers that have together received 30.6k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (386 papers), Systemic Lupus Erythematosus Research (241 papers), Chronic Lymphocytic Leukemia Research (208 papers), Autoimmune and Inflammatory Disorders Research (142 papers), Lymphoma Diagnosis and Treatment (131 papers), Monoclonal and Polyclonal Antibodies Research (98 papers), Amoebic Infections and Treatments (85 papers) and T-cell and B-cell Immunology (72 papers). The work is most often cited by research in Rheumatology (12.5k citations), Hematology (4.8k citations) and Immunology (8.9k citations). Tsutomu Takeuchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshiya Tanaka, Nobuyuki Miyasaka, Yuko Kaneko, Hisashi Yamanaka, Kazuhiko Yamamoto, Hideto Kameda, M. Tanabe, Shinichi Kawai, Tadamitsu Kishimoto and Hitoshi Umezawa. Their work appears in journals such as Modern Rheumatology, Annals of the Rheumatic Diseases, Lara D. Veeken, Arthritis Research & Therapy and The Journal of Rheumatology.

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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