N. Agui

2.4k citations
66 papers · 1.8k · h-index 22

Impact in

Papers in

N. Agui

66 papers receiving 1.7k citations

Peers

N. Agui
Comparison fields: 5 of 77
  • Insect Science 1.2k
  • Cellular and Molecular Neuroscience 1.0k
  • Genetics 546
  • Endocrinology 70
  • Ecology, Evolution, Behavior and Systematics 206
Replace Michael B. Blackburn with:
Michael B. Blackburn United States
Beatrice Lanzrein Switzerland
Ioannis Eleftherianos United States
Dale B. Gelman United States
David A. Theilmann Canada
L. Hill United Kingdom
Pierre Grève France
Thomas A. Rocheleau United States
Michel Cusson Canada
Shun‐Fan Wu China
N. Agui relative to Michael B. Blackburn United States Michael B. Blackburn's profile →
Citations per field
00.5×1.5×1.9×
Michael B. Blackburn · 1×
Citations per year

Countries citing papers authored by N. Agui

Since Specialization
Citations

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

Fields of papers citing papers by N. Agui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside N. Agui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N. Agui Line = papers co-authored together N. Agui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999162
2 2000154
3 1981133
4 1979121
5 1979103
6 1984101
7 198089
8 198170
9 198769
10 198058
11 199951
12 198641
13 198540
14 200339
15 198535
16 198228
17 200228
18 197728
19 197524
20 197324

About N. Agui

N. Agui is a scholar working on Insect Science, Cellular and Molecular Neuroscience, Genetics, Molecular Biology and Plant Science, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (32 papers), Insect Utilization and Effects (25 papers), Insect and Arachnid Ecology and Behavior (16 papers), Insect Resistance and Genetics (12 papers), Insect Pest Control Strategies (10 papers), Insect and Pesticide Research (7 papers), Dermatological diseases and infestations (6 papers) and Insect-Plant Interactions and Control (4 papers). The work is most often cited by research in Insect Science (1.2k citations), Cellular and Molecular Neuroscience (1.0k citations), Genetics (546 citations), Endocrinology (70 citations) and Ecology, Evolution, Behavior and Systematics (206 citations). N. Agui has collaborated with scholars based in Japan, United States and Armenia. Frequent co-authors include Walter E. Bollenbacher, Noelle A. Granger, Kiyoshi Hiruma, Toshinori Sasaki, Lawrence I. Gilbert, Mutsuo Kobayashi, Kenji Kiguchi, L Gilbert, Masatsugu Fukaya and Hirohisa Watanabe. Their work appears in journals such as Journal of Insect Physiology, Journal of Medical Entomology, Archives of Insect Biochemistry and Physiology, General and Comparative Endocrinology and Proceedings of the National Academy of Sciences.

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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