Masato Okano

38 total papers · 490 total citations
32 papers, 381 citations indexed

About

Masato Okano is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cell Biology. According to data from OpenAlex, Masato Okano has authored 32 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Masato Okano's work include Hormonal and reproductive studies (20 papers), Muscle metabolism and nutrition (8 papers) and Pharmacological Effects and Assays (6 papers). Masato Okano is often cited by papers focused on Hormonal and reproductive studies (20 papers), Muscle metabolism and nutrition (8 papers) and Pharmacological Effects and Assays (6 papers). Masato Okano collaborates with scholars based in Japan, Germany and Qatar. Masato Okano's co-authors include Mitsuhiko Sato, Shinji Kageyama, Makoto Ueki, Shinji Kageyama, Toshihiko Ueda, Michiko Dohi, Emi Kaneko, Matthew Fedoruk, Christian Görgens and Mario Thevis and has published in prestigious journals such as Scientific Reports, Analytical and Bioanalytical Chemistry and Rapid Communications in Mass Spectrometry.

In The Last Decade

Masato Okano

29 papers receiving 347 citations

Author Peers

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

Author Last Decade Papers Cites
Masato Okano 255 162 82 59 57 32 381
Federico Ponzetto 278 1.1× 91 0.6× 63 0.8× 145 2.5× 44 0.8× 27 431
Michaël Polet 307 1.2× 117 0.7× 139 1.7× 155 2.6× 37 0.6× 29 428
Vinícius Figueiredo Sardela 113 0.4× 92 0.6× 47 0.6× 56 0.9× 23 0.4× 27 417
Ludovic Bailly‐Chouriberry 213 0.8× 111 0.7× 76 0.9× 80 1.4× 6 0.1× 41 416
Francesco Molaioni 212 0.8× 90 0.6× 92 1.1× 100 1.7× 21 0.4× 20 363
Mônica Costa Padilha 218 0.9× 93 0.6× 77 0.9× 122 2.1× 47 0.8× 41 432
Abdul Khader Karakka Kal 114 0.4× 74 0.5× 34 0.4× 76 1.3× 14 0.2× 39 368
Emmanuel Strahm 296 1.2× 122 0.8× 83 1.0× 54 0.9× 59 1.0× 16 398
Polyxeni Kiousi 257 1.0× 91 0.6× 114 1.4× 133 2.3× 40 0.7× 19 395
Annekathrin M. Keiler 96 0.4× 43 0.3× 16 0.2× 12 0.2× 18 0.3× 40 391

Countries citing papers authored by Masato Okano

Since Specialization
Citations

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

Fields of papers citing papers by Masato Okano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Okano

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