Hideshi Naka

543 total citations
52 papers, 398 citations indexed

About

Hideshi Naka is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Hideshi Naka has authored 52 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Insect Science, 26 papers in Ecology, Evolution, Behavior and Systematics and 18 papers in Genetics. Recurrent topics in Hideshi Naka's work include Insect Pheromone Research and Control (32 papers), Plant and animal studies (24 papers) and Insect and Pesticide Research (21 papers). Hideshi Naka is often cited by papers focused on Insect Pheromone Research and Control (32 papers), Plant and animal studies (24 papers) and Insect and Pesticide Research (21 papers). Hideshi Naka collaborates with scholars based in Japan, United Kingdom and United States. Hideshi Naka's co-authors include Tetsu Ando, Atsushi Mochizuki, Masashi Nomura, Koji Tsuchida, Takayuki Mitsunaga, Masanobu Yamamoto, Hiroshi Honda, Van Vang Le, Takuya Uehara and Shigeru Matsuyama and has published in prestigious journals such as Current Biology, Journal of Chemical Ecology and Insect Biochemistry and Molecular Biology.

In The Last Decade

Hideshi Naka

48 papers receiving 378 citations

Peers

Hideshi Naka
Comparison fields: 5 of 35
  • Insect Science 279
  • Ecology, Evolution, Behavior and Systematics 181
  • Genetics 129
  • Plant Science 48
  • Molecular Biology 46
Replace D. R. Thomson with:
D. R. Thomson Canada
Ryoko T. Ichiki Japan
Tao Ma China
Rikiya Sasaki Japan
Gunda Thöming Norway
Masahiko Tokoro Japan
Fumiaki Mochizuki Japan
Andrew M. Twidle New Zealand
Shenglu Chen China
Takehiko Fukumoto Japan
D. R. Thomson Canada View profile →
Citations per field, relative to Hideshi Naka
Hideshi Naka · 1×
Citations per year, relative to Hideshi Naka
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Countries citing papers authored by Hideshi Naka

Since Specialization
Citations

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

Fields of papers citing papers by Hideshi Naka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideshi Naka

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 5
4 0
5 11
6 5
7 7
8 4
9 4
10 16
11 7
12 7
13 5
14 6
15 16
16 14
17 8
18 12
19 17
20 2

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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