Motohiro Maebuchi

36 total papers · 952 total citations
27 papers, 765 citations indexed

About

Motohiro Maebuchi is a scholar working on Molecular Biology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Motohiro Maebuchi has authored 27 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Physiology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Motohiro Maebuchi's work include Biochemical effects in animals (7 papers), Phytoestrogen effects and research (7 papers) and Protein Hydrolysis and Bioactive Peptides (6 papers). Motohiro Maebuchi is often cited by papers focused on Biochemical effects in animals (7 papers), Phytoestrogen effects and research (7 papers) and Protein Hydrolysis and Bioactive Peptides (6 papers). Motohiro Maebuchi collaborates with scholars based in Japan, United States and Iran. Motohiro Maebuchi's co-authors include Tatsuya Moriyama, Reiko Urade, Tadashi Ogawa, Motohiko Hirotsuka, M. Kohno, Nobuyuki Maruyama, Keiko Kishimoto, Shigeru Utsumi, Masanori Bun‐ya and Tatsuyuki Kamiryo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Motohiro Maebuchi

27 papers receiving 745 citations

Author Peers

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

Author Last Decade Papers Cites
Motohiro Maebuchi 350 203 151 134 130 27 765
Ruokun Yi 357 1.0× 120 0.6× 117 0.8× 154 1.1× 89 0.7× 30 776
Jeong Hoon Pan 302 0.9× 105 0.5× 83 0.5× 81 0.6× 90 0.7× 46 720
Mikiya Kishi 351 1.0× 283 1.4× 69 0.5× 133 1.0× 189 1.5× 36 888
Guowei Le 403 1.2× 311 1.5× 61 0.4× 99 0.7× 95 0.7× 23 847
Nobuhiko Tachibana 422 1.2× 185 0.9× 190 1.3× 172 1.3× 216 1.7× 40 879
Holger Kluge 344 1.0× 174 0.9× 67 0.4× 76 0.6× 140 1.1× 40 898
Masaya Shimada 287 0.8× 167 0.8× 68 0.5× 71 0.5× 76 0.6× 53 724
Yeon Sook Lee 406 1.2× 231 1.1× 75 0.5× 230 1.7× 124 1.0× 18 808
Xiaotong Liu 423 1.2× 223 1.1× 53 0.4× 66 0.5× 68 0.5× 27 800
Maíra Cola 303 0.9× 127 0.6× 78 0.5× 101 0.8× 67 0.5× 22 902

Countries citing papers authored by Motohiro Maebuchi

Since Specialization
Citations

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

Fields of papers citing papers by Motohiro Maebuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motohiro Maebuchi

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