Hitoshi Aonuma

2.4k citations
137 papers · 1.8k indexed · h-index 23

Hitoshi Aonuma

133 papers receiving 1.8k citations

Peers

Hitoshi Aonuma
Comparison fields: 5 of 122
  • Cellular and Molecular Neuroscience 989
  • Ecology, Evolution, Behavior and Systematics 665
  • Genetics 609
  • Insect Science 392
  • Ecology 353
Replace Swidbert R. Ott with:
Swidbert R. Ott United Kingdom
David J. Schulz United States
Philip L. Newland United Kingdom
Gerd Bicker Germany
Hans‐Joachim Pflüger Germany
Karen A. Mesce United States
Janis C. Weeks United States
Stephen M. Rogers United Kingdom
Basil el Jundi Germany
Ryuichi Okada Japan
Hitoshi Aonuma relative to Swidbert R. Ott United Kingdom Swidbert R. Ott's profile →
Citations per field
00.5×1.5×2.3×
Swidbert R. Ott · 1×
Citations per year

Countries citing papers authored by Hitoshi Aonuma

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Aonuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Aonuma

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Aonuma. A scholar is included among the top collaborators of Hitoshi Aonuma 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 Hitoshi Aonuma. Hitoshi Aonuma 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
#WorkIndexed citations
1 0
2 0
3 2
4 0
5 12
6 17
7 4
8 31
9 13
10 1
11 8
12 3
13 26
14
Development of neurotransmitter modulation on aggression and dominance hierarchy in cricket, Gryllus Bimaculatus
1
15 6
16 47
17 13
18
COURTSHIP, AVOIDANCE AND AGGRESSIVE BEHAVIORS WERE INTRODUCED BY DIFFERENT COMPONENTS OF CUTICULAR PHEROMONES IN MALE CRICKET GRYLLUS BIMACULATUS(Physiology,Abstracts of papers presented at the 75^ Annual Meeting of the Zoological Society of Japan) :
1
19 6
20 31

About Hitoshi Aonuma

Hitoshi Aonuma is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Insect Science, having authored 137 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (74 papers), Insect and Arachnid Ecology and Behavior (55 papers) and Plant and animal studies (32 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (989 citations), Ecology, Evolution, Behavior and Systematics (665 citations) and Insect Science (392 citations). Hitoshi Aonuma has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Philip L. Newland, Toshiki Nagayama, Takayuki Watanabe, Etsuro Ito, Dai Hatakeyama, Yoichi Seki, Ryohei Kanzaki, Y. Matsumoto, Makoto Mizunami and Midori Sakura. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Comparative Neurology.

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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