Tetsuji Tanimoto

698 citations
18 papers · 624 indexed · h-index 11
Topics
Monoclonal and Polyclonal Antibodies Research (4 papers)RNA Interference and Gene Delivery (3 papers)Cellular transport and secretion (3 papers)
Partner nations
Japan

In The Last Decade

Tetsuji Tanimoto

18 papers receiving 601 citations

Peers

Tetsuji Tanimoto
Comparison fields: 5 of 73
  • Molecular Biology 481
  • Cell Biology 199
  • Physiology 63
  • Cancer Research 49
  • Oncology 48
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M E Cornet Spain
Keizo Inoue Japan
Toshiyoshi Yamamoto Japan
Yasuo Fukumoto Japan
Marta Farnararo Italy
Robert Erdman United States
H. Caohuy United States
Mohamad M. Adada United States
Sébastien L’Hoste France
Huira Chong United States
Tetsuji Tanimoto relative to M E Cornet Spain M E Cornet's profile →
Citations per field
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M E Cornet · 1×
Citations per year

Countries citing papers authored by Tetsuji Tanimoto

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuji Tanimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuji Tanimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuji Tanimoto. A scholar is included among the top collaborators of Tetsuji Tanimoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tetsuji Tanimoto. Tetsuji Tanimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 16
2
Characterization of plasmin-induced platelet aggregation.
12
3 29
4 4
5 2
6 12
7 13
8 7
9 198
10 3
11 2
12
The binding mode of a mammalian (boar) protamine to DNA.
3
13 11
14
Formation of a phorbol ester-binding fragment from protein kinase C by proteolytic digestion.
57
15 12
16
[Possible modes of action of growth factors and tumor promoters in the activation of the c-myc gene in Swiss 3T3 fibroblasts].
2
17 223
18 18

About Tetsuji Tanimoto

Tetsuji Tanimoto is a scholar working on Hematology, Agronomy and Crop Science and Cell Biology, having authored 18 papers that have together received 624 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), RNA Interference and Gene Delivery (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cell Biology (199 citations), Molecular Biology (481 citations) and Biochemistry (26 citations). Tetsuji Tanimoto has collaborated with scholars based in Japan. Frequent co-authors include Yoshimi Takai, Akira Kikuchi, Kozo Kaibuchi, Terutaka Tsuda, Takayuki Yamashita, Katsuhiko Yamamoto, M Kawata, K. Ikeda, Masahiko Hoshijima and Yoshihiro Ashihara. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

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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