Toshio Shono

2.6k citations
82 papers · 2.0k indexed · h-index 25

Toshio Shono

81 papers receiving 1.9k citations

Peers

Toshio Shono
Comparison fields: 5 of 80
  • Insect Science 1.2k
  • Plant Science 958
  • Molecular Biology 988
  • Health, Toxicology and Mutagenesis 191
  • Public Health, Environmental and Occupational Health 368
Replace Vincent L. Salgado with:
Vincent L. Salgado United States
Yoshiaki Kono Japan
Graham Small United Kingdom
Pei Liang China
Mary A. Schuler United States
G. D. Moores United Kingdom
Yoshihisa Ozoe Japan
Zhaojun Han China
R. M. Sawicki United States
Oliver Gutbrod Germany
Toshio Shono relative to Vincent L. Salgado United States Vincent L. Salgado's profile →
Citations per field
00.5×1.5×2.4×
Vincent L. Salgado · 1×
Citations per year

Countries citing papers authored by Toshio Shono

Since Specialization
Citations

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

Fields of papers citing papers by Toshio Shono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Toshio Shono, 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 Toshio Shono Line = papers co-authored together Toshio Shono links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201622
2 200724
3 200636
4 200542
5 20051
6 200189
7 200159
8 200077
9 199923
10 199931
11 19996
12 199850
13 199832
14 199873
15
Mechanisms of Parathion Resistance in a Ethyl Fenitrothion-Selected Yumenoshima III Strain of House Flies
19961
16 199522
17 199544
18 199417
19 19875
20 19835

About Toshio Shono

Toshio Shono is a scholar working on Insect Science, Plant Science and Cellular and Molecular Neuroscience, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Insect and Pesticide Research (49 papers), Insect Resistance and Genetics (29 papers), Insect Pest Control Strategies (23 papers), Insect-Plant Interactions and Control (13 papers), Insect behavior and control techniques (11 papers), Ion channel regulation and function (10 papers), Nicotinic Acetylcholine Receptors Study (9 papers) and Neurobiology and Insect Physiology Research (7 papers). The work is most often cited by research in Insect Science (1.2k citations), Plant Science (958 citations) and Molecular Biology (988 citations). Toshio Shono has collaborated with scholars based in Japan, United States and Nepal. Frequent co-authors include Jeffrey G. Scott, Shinji Kasai, John E. Casida, Yoshiaki Kono, Takashi Tomita, Keiichi Nagata, Kanju Ohsawa, Li Zhang, Minoru Yamakawa and Toshinori Kozaki. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Biochemical Journal and Journal of Pharmacology and Experimental Therapeutics.

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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