Jin Takasaki

106 total papers · 1.4k total citations
57 papers, 655 citations indexed

About

Jin Takasaki is a scholar working on Epidemiology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jin Takasaki has authored 57 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 28 papers in Infectious Diseases and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jin Takasaki's work include Influenza Virus Research Studies (12 papers), Tuberculosis Research and Epidemiology (12 papers) and COVID-19 Clinical Research Studies (9 papers). Jin Takasaki is often cited by papers focused on Influenza Virus Research Studies (12 papers), Tuberculosis Research and Epidemiology (12 papers) and COVID-19 Clinical Research Studies (9 papers). Jin Takasaki collaborates with scholars based in Japan, Vietnam and United States. Jin Takasaki's co-authors include Koichiro Kudo, Toshie Manabe, Shinyu Izumi, Haruhito Sugiyama, Eriko Morino, Motoyasu Iikura, Masayuki Hojo, Nobuyuki Kobayashi, Masao Hashimoto and Ngo Quy Chau and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jin Takasaki

54 papers receiving 638 citations

Author Peers

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

Author Last Decade Papers Cites
Jin Takasaki 387 331 106 100 72 57 655
Şükrü Arslan 244 0.6× 145 0.4× 73 0.7× 66 0.7× 29 0.4× 60 636
Susan Kline 210 0.5× 292 0.9× 46 0.4× 94 0.9× 31 0.4× 47 695
Wenkui Sun 218 0.6× 291 0.9× 180 1.7× 22 0.2× 33 0.5× 53 687
Mike Starr 389 1.0× 237 0.7× 31 0.3× 58 0.6× 47 0.7× 36 605
C. Gaudebout 269 0.7× 177 0.5× 57 0.5× 121 1.2× 14 0.2× 39 685
Akifumi Imamura 203 0.5× 310 0.9× 55 0.5× 99 1.0× 19 0.3× 70 599
Rama Ganguly 329 0.9× 128 0.4× 75 0.7× 47 0.5× 22 0.3× 66 781
J Weber 337 0.9× 149 0.5× 146 1.4× 181 1.8× 6 0.1× 58 758
Alpaslan Alp 385 1.0× 389 1.2× 38 0.4× 167 1.7× 14 0.2× 72 742
Huimin Huang 56 0.1× 194 0.6× 142 1.3× 37 0.4× 32 0.4× 56 676

Countries citing papers authored by Jin Takasaki

Since Specialization
Citations

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

Fields of papers citing papers by Jin Takasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Takasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Takasaki. A scholar is included among the top collaborators of Jin Takasaki 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 Jin Takasaki. Jin Takasaki 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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2026