Ken‐ichi Toda

1.6k total citations
58 papers, 1.3k citations indexed

About

Ken‐ichi Toda is a scholar working on Molecular Biology, Immunology and Dermatology. According to data from OpenAlex, Ken‐ichi Toda has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 14 papers in Immunology and 10 papers in Dermatology. Recurrent topics in Ken‐ichi Toda's work include Angiogenesis and VEGF in Cancer (7 papers), Mast cells and histamine (7 papers) and Cell Adhesion Molecules Research (7 papers). Ken‐ichi Toda is often cited by papers focused on Angiogenesis and VEGF in Cancer (7 papers), Mast cells and histamine (7 papers) and Cell Adhesion Molecules Research (7 papers). Ken‐ichi Toda collaborates with scholars based in Japan, United States and Italy. Ken‐ichi Toda's co-authors include Kiichiro Danno, Takeshi Horio, Sadao Imamura, Yoshiki Miyachi, Norihisa Matsuyoshi, Kazuya Matsuda, Shigehiko Suzuki, Atsushi Utani, Takashi Kobayashi and Noriko Mori and has published in prestigious journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and Journal of Cell Science.

In The Last Decade

Ken‐ichi Toda

58 papers receiving 1.3k citations

Peers

Ken‐ichi Toda
Comparison fields: 5 of 104
  • Molecular Biology 580
  • Immunology 236
  • Dermatology 225
  • Cell Biology 193
  • Immunology and Allergy 189
Replace F.W. Bauer with:
F.W. Bauer Netherlands
Alan N. Moshell United States
Christopher J. Wraight Australia
Hironobu Fujiwara Japan
Scott M. Thacher United States
M. Laurent France
Nahoko Komatsu Japan
Sun Young Oh United States
Toshihiko Hoashi Japan
Enzo Calautti United States
F.W. Bauer Netherlands View profile →
Citations per field, relative to Ken‐ichi Toda
Ken‐ichi Toda · 1×
Citations per year, relative to Ken‐ichi Toda
Ken‐ichi Toda · 1×

Countries citing papers authored by Ken‐ichi Toda

Since Specialization
Citations

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

Fields of papers citing papers by Ken‐ichi Toda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐ichi Toda. 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 Ken‐ichi Toda. The network helps show where Ken‐ichi Toda may publish in the future.

Co-authorship network of co-authors of Ken‐ichi Toda

This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐ichi Toda. A scholar is included among the top collaborators of Ken‐ichi Toda 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 Ken‐ichi Toda. Ken‐ichi Toda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 66
3 13
4 2
5 76
6 7
7 27
8 6
9 4
10 20
11
In vivo evidence of the critical role of cadherin-5 in murine vascular integrity.
75
12 92
13 7
14 2
15 2
16 4
17 38
18 22
19 28
20 5

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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