Toru Nakai

48 total papers · 867 total citations
31 papers, 679 citations indexed

About

Toru Nakai is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Toru Nakai has authored 31 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 8 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Toru Nakai's work include Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (4 papers) and Antibiotic Resistance in Bacteria (3 papers). Toru Nakai is often cited by papers focused on Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (4 papers) and Antibiotic Resistance in Bacteria (3 papers). Toru Nakai collaborates with scholars based in Japan, United States and Canada. Toru Nakai's co-authors include Fumiaki Ikeda, Kazuo Hatano, Shinobu Takeda, Yoshimi Wakai, Shuichi Tawara, Makoto Miyaji, Kazuko Nishimura, Jun Uno, Satoru Matsumoto and Yoshihiko Morishita and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Antimicrobial Agents and Chemotherapy and Experimental Cell Research.

In The Last Decade

Toru Nakai

29 papers receiving 651 citations

Author Peers

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

Author Last Decade Papers Cites
Toru Nakai 380 345 166 108 92 31 679
Laura McEntee 501 1.3× 442 1.3× 186 1.1× 96 0.9× 83 0.9× 20 708
Joanne Livermore 578 1.5× 508 1.5× 182 1.1× 61 0.6× 88 1.0× 16 764
Lea Gregson 570 1.5× 463 1.3× 188 1.1× 55 0.5× 68 0.7× 18 767
Frieder Fuchs 433 1.1× 315 0.9× 82 0.5× 83 0.8× 102 1.1× 31 647
Paul Bien 504 1.3× 245 0.7× 152 0.9× 113 1.0× 110 1.2× 18 628
Kim Credito 411 1.1× 319 0.9× 309 1.9× 256 2.4× 140 1.5× 27 777
L. O. White 341 0.9× 215 0.6× 269 1.6× 82 0.8× 117 1.3× 33 760
Mei Huang 310 0.8× 268 0.8× 53 0.3× 217 2.0× 107 1.2× 22 612
P.‐M. Rath 476 1.3× 377 1.1× 84 0.5× 122 1.1× 67 0.7× 30 739
Varsha Moudgal 398 1.0× 318 0.9× 89 0.5× 95 0.9× 165 1.8× 18 648

Countries citing papers authored by Toru Nakai

Since Specialization
Citations

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

Fields of papers citing papers by Toru Nakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Nakai

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Nakai. A scholar is included among the top collaborators of Toru Nakai 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 Toru Nakai. Toru Nakai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026