John Kabashima

1.3k citations
34 papers · 970 indexed · h-index 18

Impact in

Papers in

John Kabashima

33 papers receiving 908 citations

Peers

John Kabashima
Comparison fields: 5 of 90
  • Pollution 338
  • Health, Toxicology and Mutagenesis 312
  • Insect Science 234
  • Medical Laboratory Technology 15
  • Plant Science 333
Replace Stephan Jänsch with:
Stephan Jänsch Germany
Kathryn O’Halloran New Zealand
Alina Kafel Poland
Paulo Roger Lopes Alves Brazil
Christophe Mazzia France
Mercedes Fernández‐Pascual Spain
Abhishek Mukherjee India
Shaoshan Li China
Elena Martino Italy
Maria Fernanda Pessoa Portugal
John Kabashima relative to Stephan Jänsch Germany Stephan Jänsch's profile →
Citations per field
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Stephan Jänsch · 1×
Citations per year

Countries citing papers authored by John Kabashima

Since Specialization
Citations

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

Fields of papers citing papers by John Kabashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20233
4 201728
5 20175
6 201617
7 20168
8 20147
9 201234
10 201020
11 200721
12 20077
13 200539
14 200487
15 200486
16 200255
17 200124
18 200041
19 199762
20 199024

About John Kabashima

John Kabashima is a scholar working on Insect Science, Medical Laboratory Technology, Pollution, Health, Toxicology and Mutagenesis and Ecology, having authored 34 papers that have together received 970 indexed citations. Recurring topics across this work include Insect and Pesticide Research (9 papers), Forest Insect Ecology and Management (9 papers), Insect and Arachnid Ecology and Behavior (7 papers), Pesticide and Herbicide Environmental Studies (6 papers), Insect-Plant Interactions and Control (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Plant and animal studies (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). The work is most often cited by research in Pollution (338 citations), Health, Toxicology and Mutagenesis (312 citations), Insect Science (234 citations), Medical Laboratory Technology (15 citations) and Plant Science (333 citations). John Kabashima has collaborated with scholars based in United States, Chile and France. Frequent co-authors include Darren Haver, Sang-Jin Lee, Jianying Gan, Jay Gan, Weiping Liu, Svetlana Bondarenko, Michael Κ. Rust, Julia Faucett, Ira Janowitz and James M. Meyers. Their work appears in journals such as Journal of Economic Entomology, Plant Disease, Environmental Toxicology and Chemistry, American Industrial Hygiene Association Journal and Journal of Environmental Quality.

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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