T. Mochizuki

63 total papers · 986 total citations
37 papers, 738 citations indexed

About

T. Mochizuki is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, T. Mochizuki has authored 37 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 12 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in T. Mochizuki's work include Neuropeptides and Animal Physiology (11 papers), Semiconductor materials and devices (11 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). T. Mochizuki is often cited by papers focused on Neuropeptides and Animal Physiology (11 papers), Semiconductor materials and devices (11 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). T. Mochizuki collaborates with scholars based in Japan, United States and France. T. Mochizuki's co-authors include K. Najafi, K.D. Wise, Noboru Yanaihara, M. Kashiwagi, Chizuko Yanaihara, Timothy J. McDonald, M.A. Ghatei, S.R. Bloom, Thomas E. Adrian and Yoshifumi Nishi and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Clinical Endocrinology & Metabolism and Journal of The Electrochemical Society.

In The Last Decade

T. Mochizuki

35 papers receiving 700 citations

Author Peers

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

Author Last Decade Papers Cites
T. Mochizuki 400 267 139 96 92 37 738
Manabu Sato 285 0.7× 69 0.3× 116 0.8× 112 1.2× 57 0.6× 73 893
Young Se Kwon 160 0.4× 197 0.7× 83 0.6× 112 1.2× 76 0.8× 86 877
M. Yamanaka 130 0.3× 281 1.1× 43 0.3× 56 0.6× 87 0.9× 24 659
H. Saito 157 0.4× 149 0.6× 134 1.0× 122 1.3× 167 1.8× 46 814
Sirli Raud 221 0.6× 154 0.6× 207 1.5× 52 0.5× 35 0.4× 37 720
Shin Ae Kim 143 0.4× 129 0.5× 284 2.0× 30 0.3× 21 0.2× 41 861
R. J. Walters 81 0.2× 161 0.6× 75 0.5× 34 0.4× 82 0.9× 31 635
Jeffrey Ashe 185 0.5× 175 0.7× 93 0.7× 44 0.5× 9 0.1× 34 903
Yang Wang 137 0.3× 110 0.4× 224 1.6× 29 0.3× 20 0.2× 49 902
Dinghong Zhang 54 0.1× 77 0.3× 244 1.8× 23 0.2× 18 0.2× 29 740

Countries citing papers authored by T. Mochizuki

Since Specialization
Citations

This map shows the geographic impact of T. Mochizuki'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 T. Mochizuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Mochizuki more than expected).

Fields of papers citing papers by T. Mochizuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Mochizuki

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