Ryo Minegishi

524 total citations
9 papers, 133 citations indexed

About

Ryo Minegishi is a scholar working on Cellular and Molecular Neuroscience, Genetics and Insect Science. According to data from OpenAlex, Ryo Minegishi has authored 9 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Genetics and 5 papers in Insect Science. Recurrent topics in Ryo Minegishi's work include Neurobiology and Insect Physiology Research (7 papers), Insect and Arachnid Ecology and Behavior (6 papers) and Insect Pheromone Research and Control (5 papers). Ryo Minegishi is often cited by papers focused on Neurobiology and Insect Physiology Research (7 papers), Insect and Arachnid Ecology and Behavior (6 papers) and Insect Pheromone Research and Control (5 papers). Ryo Minegishi collaborates with scholars based in Japan, United States and Australia. Ryo Minegishi's co-authors include Ryohei Kanzaki, Barry J. Dickson, Daisuke Kurabayashi, Shigehiro Namiki, Atsushi Takashima, Till Bockemühl, Kai Feng, Ansgar Büschges, Toshiki Tamura and Keiro Uchino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.

In The Last Decade

Ryo Minegishi

9 papers receiving 132 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ryo Minegishi Japan	5	112	73	50	38	17	9	133
Joseph Hsu United States	3	128 1.1×	68 0.9×	28 0.6×	33 0.9×	5 0.3×	3	140
Steven A. Calle-Schuler United States	4	113 1.0×	57 0.8×	27 0.5×	36 0.9×	4 0.2×	6	126
Rich Pang United States	7	126 1.1×	55 0.8×	36 0.7×	44 1.2×	3 0.2×	10	196
Alexandre Javier United Kingdom	3	160 1.4×	86 1.2×	28 0.6×	53 1.4×	6 0.4×	3	183
Erich M. Staudacher United States	8	181 1.6×	129 1.8×	31 0.6×	123 3.2×	13 0.8×	10	224
Laia Serratosa Capdevila United States	5	181 1.6×	97 1.3×	29 0.6×	63 1.7×	6 0.4×	7	213
Gabriella R Sterne United States	8	107 1.0×	48 0.7×	21 0.4×	24 0.6×	8 0.5×	13	183
Serene Dhawan United Kingdom	3	104 0.9×	54 0.7×	16 0.3×	37 1.0×	4 0.2×	5	144
Yoshiko Tsuchimoto Japan	6	171 1.5×	66 0.9×	25 0.5×	54 1.4×	7 0.4×	6	188
Jia Yi Chua Singapore	4	214 1.9×	86 1.2×	49 1.0×	57 1.5×	13 0.8×	4	261

Countries citing papers authored by Ryo Minegishi

Since Specialization

Citations

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

Fields of papers citing papers by Ryo Minegishi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryo Minegishi

This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Minegishi. A scholar is included among the top collaborators of Ryo Minegishi 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 Ryo Minegishi. Ryo Minegishi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Chen, Chin‐Lin, et al.. (2023). Ascending neurons convey behavioral state to integrative sensory and action selection brain regions. Nature Neuroscience. 26(4). 682–695. 19 indexed citations

Feng, Kai, et al.. (2020). Distributed control of motor circuits for backward walking in Drosophila. Nature Communications. 11(1). 6166–6166. 34 indexed citations

Tabuchi, Masashi, Takeshi Sakurai, Hidefumi Mitsuno, et al.. (2013). Pheromone responsiveness threshold depends on temporal integration by antennal lobe projection neurons. Proceedings of the National Academy of Sciences. 110(38). 15455–15460. 42 indexed citations

Kanzaki, Ryohei, Ryo Minegishi, Shigehiro Namiki, & Noriyasu Ando. (2013). Insect–machine hybrid system for understanding and evaluating sensory-motor control by sex pheromone in Bombyx mori. Journal of Comparative Physiology A. 199(11). 1037–1052. 11 indexed citations

Minegishi, Ryo, Yosuke Takahashi, Atsushi Takashima, Daisuke Kurabayashi, & Ryohei Kanzaki. (2013). Adaptive control system of an insect brain during odor source localization. 26. 357–362. 2 indexed citations

Minegishi, Ryo, et al.. (2013). A Tethered system to investigate the behavioral changes of the silk moth for chemical plume tracing. 9. 37–38. 1 indexed citations

Minegishi, Ryo, Atsushi Takashima, Daisuke Kurabayashi, & Ryohei Kanzaki. (2011). Construction of a brain–machine hybrid system to evaluate adaptability of an insect. Robotics and Autonomous Systems. 60(5). 692–699. 20 indexed citations

Takashima, A., Ryo Minegishi, Daisuke Kurabayashi, & Ryohei Kanzaki. (2010). Construction of a Brain-Machine Hybrid System to Investigate Adaptive Functionality of a Micro Brain. Journal of the Robotics Society of Japan. 28(4). 445–454. 2 indexed citations

Takashima, Atsushi, Ryo Minegishi, Daisuke Kurabayashi, & Ryohei Kanzaki. (2010). Construction of a brain-machine hybrid system to analyze adaptive behavior of silkworm moth. 2389–2394. 2 indexed citations

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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