Tomoyuki Ichikawa

47 total papers · 861 total citations
34 papers, 735 citations indexed

About

Tomoyuki Ichikawa is a scholar working on Molecular Biology, Surgery and Pharmacology. According to data from OpenAlex, Tomoyuki Ichikawa has authored 34 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Surgery and 6 papers in Pharmacology. Recurrent topics in Tomoyuki Ichikawa's work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (7 papers), Aquaculture Nutrition and Growth (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). Tomoyuki Ichikawa is often cited by papers focused on Cardiovascular, Neuropeptides, and Oxidative Stress Research (7 papers), Aquaculture Nutrition and Growth (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). Tomoyuki Ichikawa collaborates with scholars based in Japan, Canada and Germany. Tomoyuki Ichikawa's co-authors include Hideshi Kobayashi, Kyoko Ajiki, Junko Matsuura, Hiroaki Misawa, K. Lederis, D. McMaster, Takeo Deguchi, Isao Ishida, Toshio Shimizu and Masumi Nozaki and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and Molecular and Cellular Biology.

In The Last Decade

Tomoyuki Ichikawa

33 papers receiving 719 citations

Author Peers

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

Author Last Decade Papers Cites
Tomoyuki Ichikawa 277 240 176 165 126 34 735
Matthew J. Brierley 357 1.3× 168 0.7× 227 1.3× 138 0.8× 64 0.5× 19 718
Marie‐Christine Tonon 346 1.2× 210 0.9× 173 1.0× 119 0.7× 174 1.4× 23 831
Robert M. Santer 330 1.2× 187 0.8× 113 0.6× 27 0.2× 30 0.2× 38 899
Nancy E. Sirett 256 0.9× 279 1.2× 58 0.3× 31 0.2× 114 0.9× 52 903
Yasumitsu Nakai 475 1.7× 257 1.1× 25 0.1× 34 0.2× 30 0.2× 18 889
Min Chul Lee 130 0.5× 269 1.1× 40 0.2× 33 0.2× 29 0.2× 42 896
Sergiy Sylantyev 438 1.6× 348 1.4× 38 0.2× 133 0.8× 28 0.2× 38 902
Morio Azuma 206 0.7× 175 0.7× 41 0.2× 17 0.1× 63 0.5× 48 787
Irvin E. Lawrence 224 0.8× 169 0.7× 170 1.0× 33 0.2× 154 1.2× 32 904
G. Sterba 266 1.0× 288 1.2× 63 0.4× 16 0.1× 29 0.2× 66 881

Countries citing papers authored by Tomoyuki Ichikawa

Since Specialization
Citations

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

Fields of papers citing papers by Tomoyuki Ichikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoyuki Ichikawa

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