Jun Sasaki

127 total papers · 1.6k total citations
67 papers, 1.1k citations indexed

About

Jun Sasaki is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Jun Sasaki has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 11 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Molecular Biology. Recurrent topics in Jun Sasaki's work include Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Organ Transplantation Techniques and Outcomes (3 papers). Jun Sasaki is often cited by papers focused on Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Organ Transplantation Techniques and Outcomes (3 papers). Jun Sasaki collaborates with scholars based in Japan, United States and Russia. Jun Sasaki's co-authors include G.Larry Cottam, Koki Taniguchi, Minetaro Arita, Kumiko Ishikawa, Suminori Kono, Kyosuke Yamamoto, Shigeo Nagashima, Shinji Koba, Koichi Tan‐No and Chikai Sakurada and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and Journal of Virology.

In The Last Decade

Jun Sasaki

58 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
Jun Sasaki 396 283 269 177 146 67 1.1k
Haruhito A. Uchida 253 0.6× 251 0.9× 171 0.6× 274 1.5× 364 2.5× 101 1.3k
Mitsutoshi Oguri 204 0.5× 433 1.5× 165 0.6× 305 1.7× 90 0.6× 93 1.2k
L Capron 256 0.6× 304 1.1× 267 1.0× 207 1.2× 62 0.4× 83 1.3k
Akio Kuroda 405 1.0× 441 1.6× 449 1.7× 159 0.9× 58 0.4× 64 1.4k
Herbert K. Naito 399 1.0× 275 1.0× 355 1.3× 212 1.2× 46 0.3× 57 1.3k
Mikio Mukai 184 0.5× 319 1.1× 485 1.8× 342 1.9× 84 0.6× 71 1.3k
Khalil G. Wakim 279 0.7× 242 0.9× 89 0.3× 150 0.8× 118 0.8× 85 1.4k
Warren D. Davidson 264 0.7× 402 1.4× 173 0.6× 93 0.5× 256 1.8× 61 1.4k
Mei‐Yueh Lee 183 0.5× 298 1.1× 393 1.5× 198 1.1× 126 0.9× 58 1.1k
Wenguang Feng 161 0.4× 559 2.0× 209 0.8× 203 1.1× 115 0.8× 41 1.5k

Countries citing papers authored by Jun Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Sasaki

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