Setsuo Takai

2.4k citations
42 papers · 1.9k indexed · h-index 18

Impact in

    • Protease and Inhibitor Mechanisms
  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • Peptidase Inhibition and Analysis

Papers in

    • Renal and related cancers 5
    • Glycosylation and Glycoproteins Research 4
    • RNA modifications and cancer 4
    • Congenital heart defects research 3

Setsuo Takai

42 papers receiving 1.9k citations

Peers

Setsuo Takai
Comparison fields: 5 of 98
  • Cancer Research 443
  • Oncology 553
  • Molecular Biology 1.2k
  • Immunology and Allergy 97
  • Genetics 314
Replace J. M. Bruner with:
J. M. Bruner United States
Gregory S. Robinson United States
Florence Cabon France
Tatyana V. Taksir United States
Taly R. Spivak-Kroizman United States
Patrick Auguste France
Thomas M. Mundel United States
Eva Grönroos United Kingdom
Marian A. J. Weterman Netherlands
Giuseppe Lamorte Italy
Setsuo Takai relative to J. M. Bruner United States J. M. Bruner's profile →
Citations per field
00.5×1.5×1.9×
J. M. Bruner · 1×
Citations per year

Countries citing papers authored by Setsuo Takai

Since Specialization
Citations

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

Fields of papers citing papers by Setsuo Takai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20153
2 20158
3 200157
4 200044
5 199920
6 199814
7 1998207
8 19972
9 199753
10 19965
11 19964
12 199641
13 19963
14 199516
15 199517
16 199510
17 199517
18 199442
19 199415
20 199311

About Setsuo Takai

Setsuo Takai is a scholar working on Cancer Research, Molecular Biology, Biochemistry, Immunology and Allergy and Pathology and Forensic Medicine, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Glycosylation and Glycoproteins Research (4 papers), Tuberous Sclerosis Complex Research (4 papers), RNA modifications and cancer (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Renal cell carcinoma treatment (3 papers), Congenital heart defects research (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Cancer Research (443 citations), Oncology (553 citations), Molecular Biology (1.2k citations), Immunology and Allergy (97 citations) and Genetics (314 citations). Setsuo Takai has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Kiyomi Yamada, Makoto Noda, Chiaki Takahashi, Hitoshi Kitayama, Etsuko Kobayashi, Shinichi Abe, Yoji Ikawa, T Tsukada, Yoshihiro Ueda and Yoshitaka Suda. Their work appears in journals such as Human Genetics, Genomics, Cytogenetic and Genome Research, Biochemical and Biophysical Research Communications and Proceedings of the National Academy of Sciences.

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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