Takeshi Ito

1.6k total citations
71 papers, 1.2k citations indexed

About

Takeshi Ito is a scholar working on Molecular Biology, Organic Chemistry and Epidemiology. According to data from OpenAlex, Takeshi Ito has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Organic Chemistry and 9 papers in Epidemiology. Recurrent topics in Takeshi Ito's work include Salmonella and Campylobacter epidemiology (6 papers), Mitochondrial Function and Pathology (5 papers) and ATP Synthase and ATPases Research (4 papers). Takeshi Ito is often cited by papers focused on Salmonella and Campylobacter epidemiology (6 papers), Mitochondrial Function and Pathology (5 papers) and ATP Synthase and ATPases Research (4 papers). Takeshi Ito collaborates with scholars based in Japan, United States and United Kingdom. Takeshi Ito's co-authors include Makoto Yasuda, Yoshiyuki Onishi, Akio Baba, Fumio Tokunaga, Mikio Kataoka, Yasushi Imamoto, Masatoshi Murai, Hideto Miyoshi, Hiromitsu Takayama and Mitsuhiro Sato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Applied Physics Letters.

In The Last Decade

Takeshi Ito

64 papers receiving 1.2k citations

Peers

Takeshi Ito
Comparison fields: 5 of 113
  • Molecular Biology 394
  • Organic Chemistry 256
  • Materials Chemistry 230
  • Radiation 159
  • Electrical and Electronic Engineering 138
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Nectarios Klonis Australia
M.J. Cuneo United States
Kevin L. Weiss United States
Jean‐Christophe Taveau France
Katherine McAuley United Kingdom
Jesús Salgado Spain
Jesse B. Hopkins United States
F. Cipriani France
Andrey Gruzinov Russia
Wallace Snipes United States
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Citations per field, relative to Takeshi Ito
Takeshi Ito · 1×
Citations per year, relative to Takeshi Ito
Takeshi Ito · 1×

Countries citing papers authored by Takeshi Ito

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Ito. A scholar is included among the top collaborators of Takeshi Ito 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 Takeshi Ito. Takeshi Ito 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 2
2 2
3 4
4 10
5 16
6 28
7 14
8 1
9 1
10 29
11 13
12 18
13 3
14 22
15 0
16 2
17
From Harbour Autocracies to "Feudal" Diffusion in Seventeenth Century Indonesia:The Case of Aceh
1
18 2
19
0
20
1

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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