Toshio Kodama

5.1k total citations
168 papers, 3.9k citations indexed

About

Toshio Kodama is a scholar working on Endocrinology, Molecular Biology and Immunology. According to data from OpenAlex, Toshio Kodama has authored 168 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Endocrinology, 42 papers in Molecular Biology and 28 papers in Immunology. Recurrent topics in Toshio Kodama's work include Vibrio bacteria research studies (46 papers), Escherichia coli research studies (34 papers) and Quantum, superfluid, helium dynamics (25 papers). Toshio Kodama is often cited by papers focused on Vibrio bacteria research studies (46 papers), Escherichia coli research studies (34 papers) and Quantum, superfluid, helium dynamics (25 papers). Toshio Kodama collaborates with scholars based in Japan, United States and South Korea. Toshio Kodama's co-authors include Tetsuya Iida, Takeshi Honda, Hirotaka Hiyoshi, Shigeaki Matsuda, Yukihiro Akeda, Kwon-Sam Park, Kazuyoshi Gotoh, Vlademir Vicente Cantarelli, Venkat N. Reddy and Yuichi Ohashi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Toshio Kodama

161 papers receiving 3.7k citations

Peers

Toshio Kodama
Comparison fields: 5 of 140
  • Endocrinology 1.7k
  • Molecular Biology 1.2k
  • Immunology 1.2k
  • Food Science 511
  • Genetics 483
Replace Jean‐Robert Brisson with:
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Johannes Müthing Germany
M. Alexander Schmidt Germany
F. Pattus France
Hui Sun China
Stephen Matthews United Kingdom
Han Remaut Belgium
Alain Roussel France
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Jean‐Robert Brisson Canada View profile →
Citations per field, relative to Toshio Kodama
Toshio Kodama · 1×
Citations per year, relative to Toshio Kodama
Toshio Kodama · 1×

Countries citing papers authored by Toshio Kodama

Since Specialization
Citations

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

Fields of papers citing papers by Toshio Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshio Kodama

This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Kodama. A scholar is included among the top collaborators of Toshio Kodama 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 Toshio Kodama. Toshio Kodama 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 0
2 3
3 7
4 18
5 69
6 54
7 9
8 66
9 11
10 26
11 21
12
SPECIFIC RACEMIZATION OF THE ASPARTYL RESIDUE OF αA-CRYSTALLIN IN AGED MOUSE LENSES
5
13 48
14 25
15 5
16 6
17 9
18
Specific antigenicity of tumors and immunological tolerance in the rat induced by Friend, Gross, and Rauscher viruses.
18
19 2
20
Epidemic nephritis in Japan.
10

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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