Tomohito Itoh

749 citations
17 papers · 574 · h-index 9

Impact in

  • Genetics top 5%
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Animal Genetics and Reproduction
    • Genetic diversity and population structure
    • Barrier Structure and Function Studies

Papers in

    • TGF-β signaling in diseases 2
    • Genetic and phenotypic traits in livestock 3
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Animal Genetics and Reproduction 1

Tomohito Itoh

14 papers receiving 548 citations

Peers

Tomohito Itoh
Comparison fields: 5 of 82
  • Genetics 324
  • Neurology 51
  • Cancer Research 63
  • Molecular Biology 209
  • Agronomy and Crop Science 30
Replace N. Ihara with:
N. Ihara Japan
P. Sysa Poland
Anna Letko Switzerland
Ingrid Balcells Spain
Shuang Guo China
Marie‐Jeanne Arguel France
Sang Jun Uhm South Korea
Jacob I. Grimberg Israel
Gonneke S. K. Pilgram Netherlands
Naseer A. Kutchy United States
Tomohito Itoh relative to N. Ihara Japan N. Ihara's profile →
Citations per field
00.5×3.9×
N. Ihara · 1×
Citations per year

Countries citing papers authored by Tomohito Itoh

Since Specialization
Citations

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

Fields of papers citing papers by Tomohito Itoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomohito Itoh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tomohito Itoh Line = papers co-authored together Tomohito Itoh links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2004225
2 200076
3 200564
4 200261
5 200050
6 200643
7 201114
8 201010
9 19949
10 20055
11 20015
12 20225
13 19885
14 20052
15 20150
16 20240
17 20230

About Tomohito Itoh

Tomohito Itoh is a scholar working on Molecular Biology, Genetics, Cancer Research, Endocrinology, Diabetes and Metabolism and Rheumatology, having authored 17 papers that have together received 574 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Genetic and phenotypic traits in livestock (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Adipose Tissue and Metabolism (2 papers), TGF-β signaling in diseases (2 papers), Folate and B Vitamins Research (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Genetics (324 citations), Neurology (51 citations), Cancer Research (63 citations), Molecular Biology (209 citations) and Agronomy and Crop Science (30 citations). Tomohito Itoh has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yoshikazu Sugimoto, N. Ihara, Akiko Takasuga, Toshio Watanabe, Takashi Hirano, Craig W. Beattie, Haruko Takeda, Y. Mizoguchi, Mayumi Sugimoto and Kent M. Reed. Their work appears in journals such as Animal Science Journal, Genome Research, Animals, Gene and Journal of Electrostatics.

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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