Jun-Ichi Sakamaki

74 total papers · 4.3k total citations
25 papers, 1.0k citations indexed

About

Jun-Ichi Sakamaki is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Jun-Ichi Sakamaki has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Epidemiology and 7 papers in Cell Biology. Recurrent topics in Jun-Ichi Sakamaki's work include Autophagy in Disease and Therapy (11 papers), FOXO transcription factor regulation (5 papers) and Pancreatic function and diabetes (5 papers). Jun-Ichi Sakamaki is often cited by papers focused on Autophagy in Disease and Therapy (11 papers), FOXO transcription factor regulation (5 papers) and Pancreatic function and diabetes (5 papers). Jun-Ichi Sakamaki collaborates with scholars based in Japan, United Kingdom and United States. Jun-Ichi Sakamaki's co-authors include Akiyoshi Fukamizu, Hiroaki Daitoku, Kevin M. Ryan, Tim Van Acker, Sharon A. Tooze, Jaclyn S. Long, Noboru Mizushima, Maria I. New, Katsuya Ueno and Jim O’Prey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Jun-Ichi Sakamaki

25 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
Jun-Ichi Sakamaki 739 277 140 126 119 25 1.0k
Cixiong Zhang 620 0.8× 333 1.2× 177 1.3× 76 0.6× 95 0.8× 14 919
Vemika Chandra 408 0.6× 261 0.9× 65 0.5× 98 0.8× 128 1.1× 19 935
Fulvio Chiacchiera 1.0k 1.4× 158 0.6× 63 0.5× 205 1.6× 85 0.7× 26 1.2k
Wang Xie 610 0.8× 152 0.5× 91 0.7× 44 0.3× 83 0.7× 29 1.0k
Séverine Lorin 621 0.8× 526 1.9× 36 0.3× 73 0.6× 92 0.8× 16 1.0k
Pamela Hale 500 0.7× 401 1.4× 98 0.7× 176 1.4× 116 1.0× 17 1.2k
Miao Zhang 594 0.8× 166 0.6× 131 0.9× 98 0.8× 95 0.8× 25 925
Barry E. Kennedy 558 0.8× 234 0.8× 96 0.7× 169 1.3× 235 2.0× 28 1.1k
Mercedes Vázquez–Chantada 764 1.0× 291 1.1× 105 0.8× 119 0.9× 78 0.7× 28 1.1k
Tomasz Rzymski 704 1.0× 523 1.9× 84 0.6× 136 1.1× 76 0.6× 31 1.2k

Countries citing papers authored by Jun-Ichi Sakamaki

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Ichi Sakamaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Ichi Sakamaki. 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 Jun-Ichi Sakamaki. The network helps show where Jun-Ichi Sakamaki may publish in the future.

Co-authorship network of co-authors of Jun-Ichi Sakamaki

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Ichi Sakamaki. A scholar is included among the top collaborators of Jun-Ichi Sakamaki 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 Jun-Ichi Sakamaki. Jun-Ichi Sakamaki 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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