Kiichiro Tomoda

51 total papers · 23.2k total citations
30 papers, 16.9k citations indexed

About

Kiichiro Tomoda is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Kiichiro Tomoda has authored 30 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Immunology. Recurrent topics in Kiichiro Tomoda's work include Pluripotent Stem Cells Research (11 papers), Ubiquitin and proteasome pathways (9 papers) and Cancer-related Molecular Pathways (8 papers). Kiichiro Tomoda is often cited by papers focused on Pluripotent Stem Cells Research (11 papers), Ubiquitin and proteasome pathways (9 papers) and Cancer-related Molecular Pathways (8 papers). Kiichiro Tomoda collaborates with scholars based in Japan, United States and Russia. Kiichiro Tomoda's co-authors include Shinya Yamanaka, Kazutoshi Takahashi, Megumi Narita, Mari Ohnuki, Tomoko Ichisaka, Koji Tanabe, Jun‐ya Kato, Noriko Yoneda‐Kato, Yukinobu Arata and Akihisa Fukumoto and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Kiichiro Tomoda

30 papers receiving 16.5k citations

Hit Papers

Induction of Pluripotent ... 1999 2026 2008 2017 2007 2008 1999 4.0k 8.0k 12.0k

Author Peers

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

Author Last Decade Papers Cites
Kiichiro Tomoda 13.9k 3.3k 2.7k 2.0k 1.7k 30 16.9k
Megumi Narita 13.9k 1.0× 3.4k 1.0× 2.8k 1.1× 2.0k 1.0× 1.7k 1.0× 36 16.7k
Mari Ohnuki 14.0k 1.0× 3.5k 1.1× 2.9k 1.1× 2.1k 1.0× 1.8k 1.1× 20 16.8k
Junying Yu 14.2k 1.0× 3.3k 1.0× 2.8k 1.0× 1.8k 0.9× 1.9k 1.1× 29 16.3k
Koji Tanabe 17.6k 1.3× 4.1k 1.2× 3.3k 1.2× 2.7k 1.3× 2.2k 1.3× 29 21.0k
Keisuke Okita 16.2k 1.2× 3.8k 1.2× 2.5k 0.9× 1.9k 0.9× 2.2k 1.3× 102 19.5k
Shulan Tian 10.8k 0.8× 2.1k 0.6× 1.8k 0.7× 1.2k 0.6× 1.3k 0.8× 52 12.4k
Tomoko Ichisaka 23.1k 1.7× 5.2k 1.6× 4.2k 1.5× 2.7k 1.3× 3.0k 1.8× 31 27.0k
Melissa K. Carpenter 9.4k 0.7× 4.8k 1.5× 2.4k 0.9× 1.6k 0.8× 930 0.6× 47 12.8k
Michelle Waknitz 10.6k 0.8× 3.2k 1.0× 2.6k 1.0× 1.1k 0.6× 1.4k 0.8× 13 12.9k
Jessica Antosiewicz‐Bourget 13.5k 1.0× 2.1k 0.6× 1.9k 0.7× 964 0.5× 1.3k 0.8× 14 15.3k

Countries citing papers authored by Kiichiro Tomoda

Since Specialization
Citations

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

Fields of papers citing papers by Kiichiro Tomoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiichiro Tomoda

This figure shows the co-authorship network connecting the top 25 collaborators of Kiichiro Tomoda. A scholar is included among the top collaborators of Kiichiro Tomoda 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 Kiichiro Tomoda. Kiichiro Tomoda 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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