T. Nakao

119 total papers · 3.2k total citations
97 papers, 2.5k citations indexed

About

T. Nakao is a scholar working on Insect Science, Epidemiology and Molecular Biology. According to data from OpenAlex, T. Nakao has authored 97 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Insect Science, 18 papers in Epidemiology and 17 papers in Molecular Biology. Recurrent topics in T. Nakao's work include Insect and Pesticide Research (23 papers), Insect-Plant Interactions and Control (16 papers) and Insect Pest Control Strategies (11 papers). T. Nakao is often cited by papers focused on Insect and Pesticide Research (23 papers), Insect-Plant Interactions and Control (16 papers) and Insect Pest Control Strategies (11 papers). T. Nakao collaborates with scholars based in Japan, Germany and United States. T. Nakao's co-authors include Shinichi Banba, Kangetsu Hirase, Takayasu Date, Nobuyuki Enomoto, Akira Takada, S. Chiba, Ichiro Yamato, Yasuhiro Anraku, T Date and Naoya Enomoto and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

T. Nakao

95 papers receiving 2.4k citations

Hit Papers

Insecticides, biologics a... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
T. Nakao 812 663 590 512 511 97 2.5k
Yang Wang 452 0.6× 889 1.3× 728 1.2× 349 0.7× 244 0.5× 127 3.6k
Hirotomo Kato 412 0.5× 535 0.8× 1.3k 2.3× 305 0.6× 252 0.5× 163 3.8k
Wei‐Mei Ching 231 0.3× 550 0.8× 285 0.5× 288 0.6× 254 0.5× 91 2.6k
Kyung H. Choi 261 0.3× 936 1.4× 204 0.3× 72 0.1× 216 0.4× 73 2.3k
Tsutomu Takegami 89 0.1× 794 1.2× 420 0.7× 282 0.6× 327 0.6× 91 2.3k
Robert Wang 123 0.2× 1.4k 2.1× 299 0.5× 89 0.2× 447 0.9× 85 3.0k
Chintamani D. Atreya 351 0.4× 955 1.4× 304 0.5× 31 0.1× 1.1k 2.1× 89 2.7k
Vernon K. Ward 434 0.5× 982 1.5× 203 0.3× 37 0.1× 336 0.7× 93 2.5k
Katja Fischer 288 0.4× 406 0.6× 301 0.5× 95 0.2× 205 0.4× 105 2.7k
Rushika Perera 481 0.6× 929 1.4× 589 1.0× 82 0.2× 277 0.5× 67 3.6k

Countries citing papers authored by T. Nakao

Since Specialization
Citations

This map shows the geographic impact of T. Nakao'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 T. Nakao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nakao more than expected).

Fields of papers citing papers by T. Nakao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Nakao

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