Naohiko Uchida

14 total papers · 540 total citations
12 papers, 442 citations indexed

About

Naohiko Uchida is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Naohiko Uchida has authored 12 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Naohiko Uchida's work include Receptor Mechanisms and Signaling (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Naohiko Uchida is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Naohiko Uchida collaborates with scholars based in Japan and United Kingdom. Naohiko Uchida's co-authors include Shigetoshi Kuroda, Hiroshi Ujike, Yuji Tanaka, Ayumu Sakai, Akira Nomura, Takaki Imamura, Kenji Nakata, Takeshi Katsu, Takashi Hamamura and Yukitaka Morita and has published in prestigious journals such as Annals of the New York Academy of Sciences, Neuroscience Letters and BMC Psychiatry.

In The Last Decade

Naohiko Uchida

12 papers receiving 436 citations

Author Peers

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

Author Last Decade Papers Cites
Naohiko Uchida 215 187 117 97 70 12 442
Shlomo Sragovich 213 1.0× 130 0.7× 133 1.1× 88 0.9× 25 0.4× 17 443
Yun‐Fang Jia 163 0.8× 167 0.9× 54 0.5× 63 0.6× 49 0.7× 21 487
Seong S. Shim 136 0.6× 191 1.0× 65 0.6× 59 0.6× 42 0.6× 15 445
Andrew D. Benson 177 0.8× 132 0.7× 146 1.2× 166 1.7× 28 0.4× 17 419
Shu-Xia Cao 159 0.7× 230 1.2× 62 0.5× 135 1.4× 28 0.4× 15 437
Allyson Gage 112 0.5× 188 1.0× 43 0.4× 123 1.3× 60 0.9× 12 419
Maria Meringolo 140 0.7× 233 1.2× 84 0.7× 109 1.1× 39 0.6× 24 452
Fei Shen 122 0.6× 221 1.2× 66 0.6× 91 0.9× 36 0.5× 15 432
Akiko Sumitomo 206 1.0× 104 0.6× 60 0.5× 47 0.5× 43 0.6× 16 390
Avia Merenlender‐Wagner 124 0.6× 109 0.6× 69 0.6× 46 0.5× 62 0.9× 8 401

Countries citing papers authored by Naohiko Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Naohiko Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naohiko Uchida

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