Toshio Kodama

5.1k citations
168 papers · 3.9k indexed · h-index 32
Topics
Vibrio bacteria research studies (46 papers)Escherichia coli research studies (34 papers)Quantum, superfluid, helium dynamics (25 papers)

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:
Jean‐Robert Brisson Canada
Martine Caroff France
M. Alexander Schmidt Germany
James C. Richards Canada
E. Rietschel Germany
Jay C. Vary United States
Stephen Matthews United Kingdom
Alain Roussel France
Frederick M. Hughson United States
Han Remaut Belgium
Toshio Kodama relative to Jean‐Robert Brisson Canada Jean‐Robert Brisson's profile →
Citations per field
00.5×
Jean‐Robert Brisson · 1×
Citations per year

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
#WorkIndexed 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

About Toshio Kodama

Toshio Kodama is a scholar working on Endocrinology, Immunology and Molecular Medicine, having authored 168 papers that have together received 3.9k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (46 papers), Escherichia coli research studies (34 papers) and Quantum, superfluid, helium dynamics (25 papers). The work is most often cited by research in Endocrinology (1.7k citations), Immunology (1.2k citations) and Molecular Medicine (190 citations). Toshio Kodama has collaborated with scholars based in Japan, United States and South Korea. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review 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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