Tomohiro Maekawa

15 total papers · 518 total citations
14 papers, 396 citations indexed

About

Tomohiro Maekawa is a scholar working on Molecular Biology, Oncology and Endocrine and Autonomic Systems. According to data from OpenAlex, Tomohiro Maekawa has authored 14 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Tomohiro Maekawa's work include Pancreatic and Hepatic Oncology Research (4 papers), Circadian rhythm and melatonin (4 papers) and Pancreatitis Pathology and Treatment (3 papers). Tomohiro Maekawa is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Circadian rhythm and melatonin (4 papers) and Pancreatitis Pathology and Treatment (3 papers). Tomohiro Maekawa collaborates with scholars based in Japan, Czechia and United States. Tomohiro Maekawa's co-authors include Kentaro Ushijima, Akio Fujimura, Hitoshi Ando, Masafumi Kumazaki, Yoshihiro Kamada, Eiji Miyoshi, Shinji Takamatsu, Hidetoshi Eguchi, Koichi Kawamoto and Takashi Kumada and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Endocrinology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Tomohiro Maekawa

14 papers receiving 390 citations

Author Peers

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

Author Last Decade Papers Cites
Tomohiro Maekawa 136 120 119 88 67 14 396
Lisa Philp 109 0.8× 78 0.7× 129 1.1× 38 0.4× 88 1.3× 15 435
Jing Zhang 105 0.8× 122 1.0× 78 0.7× 25 0.3× 92 1.4× 20 381
Yuichi Shinoda 96 0.7× 93 0.8× 117 1.0× 19 0.2× 31 0.5× 13 367
Jin Yoo 85 0.6× 102 0.8× 114 1.0× 48 0.5× 173 2.6× 10 366
Kansuke Fujiwara 98 0.7× 87 0.7× 71 0.6× 36 0.4× 111 1.7× 12 361
Chrysovalantou E. Xirouchaki 137 1.0× 54 0.5× 196 1.6× 46 0.5× 62 0.9× 14 406
L. Conversano 164 1.2× 57 0.5× 107 0.9× 20 0.2× 39 0.6× 14 358
Stamatis Theocharis 57 0.4× 84 0.7× 161 1.4× 38 0.4× 57 0.9× 12 375
A M Coudray 67 0.5× 82 0.7× 141 1.2× 67 0.8× 30 0.4× 13 438
Shi-Young Park 74 0.5× 115 1.0× 153 1.3× 50 0.6× 86 1.3× 8 384

Countries citing papers authored by Tomohiro Maekawa

Since Specialization
Citations

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

Fields of papers citing papers by Tomohiro Maekawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohiro Maekawa

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