Mayumi Miyatake

38 total papers · 2.7k total citations
33 papers, 2.2k citations indexed

About

Mayumi Miyatake is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Mayumi Miyatake has authored 33 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 21 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Mayumi Miyatake's work include Receptor Mechanisms and Signaling (16 papers), Neuroscience and Neuropharmacology Research (15 papers) and Neuropeptides and Animal Physiology (12 papers). Mayumi Miyatake is often cited by papers focused on Receptor Mechanisms and Signaling (16 papers), Neuroscience and Neuropharmacology Research (15 papers) and Neuropeptides and Animal Physiology (12 papers). Mayumi Miyatake collaborates with scholars based in Japan and United States. Mayumi Miyatake's co-authors include Minoru Narita, Tsutomu Suzuki, Michiko Narita, Yasuyuki Nagumo, Charles Chavkin, Michael R. Bruchas, Naoko Kuzumaki, Yoshinori Yajima, Junaidi Khotib and Erica J. Melief and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Mayumi Miyatake

33 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Mayumi Miyatake 1.3k 797 609 519 434 33 2.2k
Thomas McMahon 1.6k 1.2× 1.5k 1.9× 636 1.0× 477 0.9× 417 1.0× 44 2.9k
Jeffrey A. Simms 1.5k 1.2× 927 1.2× 502 0.8× 610 1.2× 523 1.2× 38 2.5k
M. Scott Bowers 1.9k 1.5× 1.2k 1.5× 251 0.4× 867 1.7× 367 0.8× 42 2.9k
Sade Spencer 1.1k 0.8× 508 0.6× 208 0.3× 518 1.0× 458 1.1× 40 1.9k
Marsida Kallupi 1.2k 0.9× 608 0.8× 385 0.6× 483 0.9× 319 0.7× 54 1.8k
Stacey J. Sukoff Rizzo 914 0.7× 806 1.0× 501 0.8× 464 0.9× 288 0.7× 69 2.7k
Matthew D. Troyer 1.3k 1.0× 751 0.9× 691 1.1× 648 1.2× 307 0.7× 34 2.9k
Patricia Szot 1.6k 1.2× 849 1.1× 652 1.1× 432 0.8× 553 1.3× 77 3.2k
Meenakshi Alreja 1.3k 1.0× 866 1.1× 322 0.5× 780 1.5× 475 1.1× 40 2.4k
Zhi‐Bing You 1.6k 1.3× 950 1.2× 299 0.5× 521 1.0× 354 0.8× 45 2.6k

Countries citing papers authored by Mayumi Miyatake

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Miyatake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Miyatake

This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Miyatake. A scholar is included among the top collaborators of Mayumi Miyatake 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 Mayumi Miyatake. Mayumi Miyatake 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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2026