Hideaki Yano

77 total papers · 2.5k total citations
47 papers, 1.9k citations indexed

About

Hideaki Yano is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Hideaki Yano has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 30 papers in Cellular and Molecular Neuroscience and 4 papers in Pharmacology. Recurrent topics in Hideaki Yano's work include Receptor Mechanisms and Signaling (30 papers), Neuropeptides and Animal Physiology (14 papers) and Neuroscience and Neuropharmacology Research (14 papers). Hideaki Yano is often cited by papers focused on Receptor Mechanisms and Signaling (30 papers), Neuropeptides and Animal Physiology (14 papers) and Neuroscience and Neuropharmacology Research (14 papers). Hideaki Yano collaborates with scholars based in United States, Italy and Spain. Hideaki Yano's co-authors include Jonathan A. Javitch, Lei Shi, Alessandro Bonifazi, Sergi Ferré, Eneko Urizar, Amy Hauck Newman, Matthias Quick, Marta Sánchez‐Soto, Peter J. Gaskill and Taisuke Maki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hideaki Yano

46 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Hideaki Yano 1.2k 912 120 113 110 47 1.9k
Mark A. DeCoster 917 0.8× 499 0.5× 91 0.8× 151 1.3× 228 2.1× 68 2.0k
Jun Zhao 1.2k 1.0× 333 0.4× 135 1.1× 95 0.8× 132 1.2× 56 2.1k
Paul J. Price 1.5k 1.3× 1.2k 1.3× 186 1.6× 111 1.0× 223 2.0× 56 3.0k
Candan Depboylu 1.0k 0.9× 467 0.5× 125 1.0× 81 0.7× 50 0.5× 50 2.4k
John S. Shaw 1.1k 0.9× 1.3k 1.4× 85 0.7× 81 0.7× 31 0.3× 34 2.2k
Giuseppina Leo 1.4k 1.2× 1.2k 1.3× 47 0.4× 95 0.8× 85 0.8× 71 2.5k
Morvane Colin 1.5k 1.3× 724 0.8× 121 1.0× 225 2.0× 97 0.9× 58 2.8k
Tsuyoshi Ishii 1.4k 1.2× 332 0.4× 151 1.3× 205 1.8× 66 0.6× 80 2.8k
Roberto Piacentini 1.0k 0.9× 702 0.8× 75 0.6× 167 1.5× 120 1.1× 53 3.0k
Liliana Brambilla 1.5k 1.3× 766 0.8× 202 1.7× 94 0.8× 87 0.8× 41 3.2k

Countries citing papers authored by Hideaki Yano

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Yano

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026