Katsuhiko Doi

62 total papers · 842 total citations
52 papers, 708 citations indexed

About

Katsuhiko Doi is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Katsuhiko Doi has authored 52 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Physiology, 15 papers in Cell Biology and 13 papers in Molecular Biology. Recurrent topics in Katsuhiko Doi's work include Adipose Tissue and Metabolism (15 papers), Diet and metabolism studies (12 papers) and Hemoglobin structure and function (8 papers). Katsuhiko Doi is often cited by papers focused on Adipose Tissue and Metabolism (15 papers), Diet and metabolism studies (12 papers) and Hemoglobin structure and function (8 papers). Katsuhiko Doi collaborates with scholars based in Japan and United States. Katsuhiko Doi's co-authors include Eiji Takahashi, Akihiro KUROSHIMA, Tomie Ohno, Hiroshi Endoh, Masahiko Hiroi, Hideki Igarashi, Toshifumi Takahashi, Zhelong Xu, Hidekazu Saito and Keiko Sato and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Biophysical Journal and The Journal of Urology.

In The Last Decade

Katsuhiko Doi

50 papers receiving 681 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katsuhiko Doi 309 152 135 109 98 52 708
Carlos Castilho Barros 184 0.6× 203 1.3× 125 0.9× 43 0.4× 64 0.7× 61 906
Katsuhiro Koyama 334 1.1× 142 0.9× 53 0.4× 111 1.0× 37 0.4× 57 775
Wen Su 201 0.7× 225 1.5× 91 0.7× 50 0.5× 68 0.7× 29 740
Motoo Shinoda 171 0.6× 146 1.0× 47 0.3× 31 0.3× 73 0.7× 41 669
Z Brzezińska 377 1.2× 190 1.3× 42 0.3× 169 1.6× 62 0.6× 44 776
Yasuhiko Kamada 125 0.4× 166 1.1× 109 0.8× 41 0.4× 159 1.6× 34 656
H. Fujita 136 0.4× 272 1.8× 67 0.5× 137 1.3× 63 0.6× 51 763
Chishimba Nathan Mowa 134 0.4× 192 1.3× 134 1.0× 54 0.5× 123 1.3× 53 864
Ksenija Veličković 304 1.0× 173 1.1× 38 0.3× 41 0.4× 28 0.3× 34 667
Eckehart Wiedemann 134 0.4× 212 1.4× 43 0.3× 65 0.6× 114 1.2× 33 857

Countries citing papers authored by Katsuhiko Doi

Since Specialization
Citations

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

Fields of papers citing papers by Katsuhiko Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuhiko Doi

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

All Works

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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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2026