Mitsuhiro Makino

47 total papers · 1.8k total citations
36 papers, 735 citations indexed

About

Mitsuhiro Makino is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Mitsuhiro Makino has authored 36 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 9 papers in Physiology. Recurrent topics in Mitsuhiro Makino's work include Receptor Mechanisms and Signaling (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Diabetes Treatment and Management (5 papers). Mitsuhiro Makino is often cited by papers focused on Receptor Mechanisms and Signaling (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Diabetes Treatment and Management (5 papers). Mitsuhiro Makino collaborates with scholars based in Japan, United States and China. Mitsuhiro Makino's co-authors include Yutaka Kitano, Kiyoshi Takasuna, Noriaki Kato, Masaaki Hirohashi, Taisuke Tomita, Soroku Yagihashi, Masaomi Shindo, Ikuko Kimura, Masayasu Kimura and Kaori Ito and has published in prestigious journals such as Brain Research, Biochemical and Biophysical Research Communications and Neuroscience.

In The Last Decade

Mitsuhiro Makino

35 papers receiving 710 citations

Author Peers

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

Author Last Decade Papers Cites
Mitsuhiro Makino 203 147 130 118 104 36 735
Yayoi Tanaka 335 1.7× 183 1.2× 147 1.1× 72 0.6× 158 1.5× 44 880
Kazuyuki Tomisawa 316 1.6× 111 0.8× 270 2.1× 83 0.7× 154 1.5× 51 845
Wilasinee Suwanjang 320 1.6× 126 0.9× 97 0.7× 68 0.6× 50 0.5× 31 784
Yeshwant Kurhe 162 0.8× 134 0.9× 137 1.1× 188 1.6× 165 1.6× 32 663
Junming Wang 306 1.5× 88 0.6× 107 0.8× 83 0.7× 52 0.5× 42 897
Yuhong Wang 246 1.2× 88 0.6× 63 0.5× 130 1.1× 68 0.7× 46 661
Rabab H. Sayed 302 1.5× 98 0.7× 137 1.1× 82 0.7× 40 0.4× 53 811
Silvia Diviccaro 231 1.1× 136 0.9× 90 0.7× 94 0.8× 119 1.1× 38 672
Fatemeh Shaerzadeh 319 1.6× 261 1.8× 186 1.4× 83 0.7× 36 0.3× 40 876
Chiung-Wen Tsao 273 1.3× 105 0.7× 79 0.6× 156 1.3× 122 1.2× 23 714

Countries citing papers authored by Mitsuhiro Makino

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiro Makino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiro Makino

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