T Unemoto

29 total papers · 1.4k total citations
25 papers, 1.2k citations indexed

About

T Unemoto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, T Unemoto has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Genetics. Recurrent topics in T Unemoto's work include Lipid Membrane Structure and Behavior (8 papers), ATP Synthase and ATPases Research (6 papers) and Photoreceptor and optogenetics research (5 papers). T Unemoto is often cited by papers focused on Lipid Membrane Structure and Behavior (8 papers), ATP Synthase and ATPases Research (6 papers) and Photoreceptor and optogenetics research (5 papers). T Unemoto collaborates with scholars based in Japan and United States. T Unemoto's co-authors include Haruhiko Tokuda, Hiroshi Kobayashi, Toshikazu Suzuki, Nadao Kinoshita, Masashi Sugasawa, Yoshihiko Kakinuma, Tatsunosuke Nakamura, Masaki Hayashi, Shoji Kawasaki and Hidekazu Hashimoto and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Bacteriology and Microbiology.

In The Last Decade

T Unemoto

25 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
T Unemoto 747 181 159 124 117 25 1.2k
Qingping Xu 1.1k 1.4× 289 1.6× 289 1.8× 104 0.8× 100 0.9× 38 1.4k
Zhi‐Qiang Xu 555 0.7× 198 1.1× 178 1.1× 101 0.8× 110 0.9× 46 1.3k
Yashwant D. Karkhanis 596 0.8× 105 0.6× 182 1.1× 73 0.6× 197 1.7× 28 1.5k
E.J.A. Lea 832 1.1× 229 1.3× 97 0.6× 87 0.7× 142 1.2× 47 1.3k
Martin Picard 935 1.3× 197 1.1× 65 0.4× 73 0.6× 56 0.5× 45 1.4k
L. Grinius 901 1.2× 253 1.4× 218 1.4× 171 1.4× 67 0.6× 26 1.4k
Axel Müller 806 1.1× 356 2.0× 72 0.5× 185 1.5× 340 2.9× 16 1.3k
Dyanne Brewer 603 0.8× 176 1.0× 73 0.5× 109 0.9× 96 0.8× 40 1.1k
Inga Hänelt 813 1.1× 180 1.0× 180 1.1× 88 0.7× 105 0.9× 30 1.3k
Tom Berkelman 969 1.3× 224 1.2× 90 0.6× 129 1.0× 455 3.9× 24 1.5k

Countries citing papers authored by T Unemoto

Since Specialization
Citations

This map shows the geographic impact of T Unemoto'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 T Unemoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Unemoto more than expected).

Fields of papers citing papers by T Unemoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Unemoto

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