Yuki Kambe

87 total papers · 944 total citations
50 papers, 715 citations indexed

About

Yuki Kambe is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Yuki Kambe has authored 50 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cellular and Molecular Neuroscience, 28 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Yuki Kambe's work include Neuroscience and Neuropharmacology Research (21 papers), Receptor Mechanisms and Signaling (11 papers) and Neuropeptides and Animal Physiology (11 papers). Yuki Kambe is often cited by papers focused on Neuroscience and Neuropharmacology Research (21 papers), Receptor Mechanisms and Signaling (11 papers) and Neuropeptides and Animal Physiology (11 papers). Yuki Kambe collaborates with scholars based in Japan, United States and Australia. Yuki Kambe's co-authors include Atsuro Miyata, Yukio Yoneda, Noritaka Nakamichi, Takeshi Takarada, H. Oikawa, Hideo Taniura, Kazuhiko Inoue, Masato Ogura, Данко Георгиев and Takashi Kurihara and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Yuki Kambe

48 papers receiving 704 citations

Author Peers

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

Author Last Decade Papers Cites
Yuki Kambe 333 302 136 83 65 50 715
Jean‐Pierre Bellier 305 0.9× 288 1.0× 164 1.2× 102 1.2× 63 1.0× 49 728
Katalin Horváth 232 0.7× 271 0.9× 126 0.9× 75 0.9× 92 1.4× 44 860
Hiroshi Fushiki 300 0.9× 261 0.9× 84 0.6× 91 1.1× 42 0.6× 36 714
Subhrajit Bhattacharya 375 1.1× 382 1.3× 116 0.9× 73 0.9× 37 0.6× 30 870
Lu Zhang 202 0.6× 253 0.8× 102 0.8× 81 1.0× 35 0.5× 53 673
Ce Zhang 431 1.3× 253 0.8× 234 1.7× 85 1.0× 80 1.2× 42 871
И. А. Гривенников 274 0.8× 232 0.8× 162 1.2× 59 0.7× 38 0.6× 81 646
Gang Zhu 328 1.0× 309 1.0× 69 0.5× 69 0.8× 52 0.8× 35 751
Francesca Felicia Caputi 290 0.9× 301 1.0× 195 1.4× 38 0.5× 57 0.9× 39 632
Atiqul Islam 254 0.8× 174 0.6× 102 0.8× 58 0.7× 54 0.8× 40 699

Countries citing papers authored by Yuki Kambe

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Kambe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Kambe

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