Yuta Kohro

36 total papers · 1.5k total citations
20 papers, 1.1k citations indexed

About

Yuta Kohro is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Yuta Kohro has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 10 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Yuta Kohro's work include Pain Mechanisms and Treatments (17 papers), Neuroscience and Neuropharmacology Research (4 papers) and Ion channel regulation and function (3 papers). Yuta Kohro is often cited by papers focused on Pain Mechanisms and Treatments (17 papers), Neuroscience and Neuropharmacology Research (4 papers) and Ion channel regulation and function (3 papers). Yuta Kohro collaborates with scholars based in Japan, Canada and United States. Yuta Kohro's co-authors include Makoto Tsuda, Kazuhide Inoue, Hidetoshi Tozaki‐Saitoh, Michael W. Salter, Satoru Koyanagi, Shigehiro Ohdo, Miho Shiratori‐Hayashi, Ru‐Rong Ji, K. Koga and Hideyuki Okano and has published in prestigious journals such as Nature Medicine, Nature Communications and Neuron.

In The Last Decade

Yuta Kohro

19 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Yuta Kohro 648 361 239 204 152 20 1.1k
Yu‐Xia Chu 601 0.9× 327 0.9× 203 0.8× 132 0.6× 85 0.6× 40 1.1k
Fumihiro Saika 578 0.9× 419 1.2× 244 1.0× 173 0.8× 42 0.3× 35 1.0k
Hao Luo 576 0.9× 250 0.7× 183 0.8× 102 0.5× 30 0.2× 18 924
Longzhen Cheng 760 1.2× 508 1.4× 342 1.4× 76 0.4× 152 1.0× 21 1.2k
Yu Cui 762 1.2× 544 1.5× 276 1.2× 225 1.1× 28 0.2× 24 1.2k
Julia Kuhn 578 0.9× 365 1.0× 240 1.0× 182 0.9× 19 0.1× 15 1.0k
Kali Janes 478 0.7× 203 0.6× 428 1.8× 81 0.4× 47 0.3× 18 952
Andi Wangzhou 540 0.8× 353 1.0× 344 1.4× 85 0.4× 48 0.3× 28 1.2k
Samuel S. Duffy 459 0.7× 213 0.6× 185 0.8× 183 0.9× 38 0.3× 15 946
Kayoko Fujishita 219 0.3× 304 0.8× 289 1.2× 213 1.0× 35 0.2× 17 1.1k

Countries citing papers authored by Yuta Kohro

Since Specialization
Citations

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

Fields of papers citing papers by Yuta Kohro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuta Kohro

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