Tsutomu Wada

283 total papers · 4.5k total citations
171 papers, 3.5k citations indexed

About

Tsutomu Wada is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Tsutomu Wada has authored 171 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 25 papers in Electrical and Electronic Engineering and 22 papers in Cognitive Neuroscience. Recurrent topics in Tsutomu Wada's work include Protein Kinase Regulation and GTPase Signaling (17 papers), Metabolism, Diabetes, and Cancer (17 papers) and Semiconductor materials and devices (16 papers). Tsutomu Wada is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (17 papers), Metabolism, Diabetes, and Cancer (17 papers) and Semiconductor materials and devices (16 papers). Tsutomu Wada collaborates with scholars based in Japan, United States and Israel. Tsutomu Wada's co-authors include Toshiyasu Sasaoka, Hiroshi Tsuneki, Hajime Ishihara, Masashi Kobayashi, Masakiyo Sasahara, Manabu Ishiki, Hiroyuki Hori, Daisuke Koya, Tetsuro Haruta and Shihou Murakami and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Tsutomu Wada

157 papers receiving 3.4k citations

Author Peers

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

Author Last Decade Papers Cites
Tsutomu Wada 1.4k 569 535 436 432 171 3.5k
Shiro Watanabe 1.1k 0.8× 589 1.0× 306 0.6× 282 0.6× 718 1.7× 208 3.9k
Lei Wang 1.8k 1.3× 946 1.7× 484 0.9× 637 1.5× 831 1.9× 175 6.8k
Masako Shimada 1.2k 0.8× 600 1.1× 678 1.3× 422 1.0× 824 1.9× 106 3.9k
Ben Janssen 1.6k 1.1× 887 1.6× 504 0.9× 235 0.5× 627 1.5× 125 4.9k
Masataka Nishimura 1.0k 0.7× 447 0.8× 486 0.9× 228 0.5× 313 0.7× 116 4.3k
Joo‐Ho Chung 1.3k 0.9× 381 0.7× 250 0.5× 273 0.6× 291 0.7× 220 3.9k
Masakiyo Sasahara 2.1k 1.4× 593 1.0× 413 0.8× 633 1.5× 642 1.5× 146 5.2k
Akihiko Wada 2.4k 1.7× 840 1.5× 331 0.6× 242 0.6× 668 1.5× 258 5.8k
Kwangsoo Kim 1.8k 1.3× 289 0.5× 238 0.4× 271 0.6× 346 0.8× 238 4.5k
Bing Chen 945 0.7× 940 1.7× 649 1.2× 622 1.4× 806 1.9× 115 3.9k

Countries citing papers authored by Tsutomu Wada

Since Specialization
Citations

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

Fields of papers citing papers by Tsutomu Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsutomu Wada

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