John Kabashima

1.3k citations
36 papers · 1.1k · h-index 19

Impact in

Papers in

John Kabashima

36 papers receiving 999 citations

Peers

John Kabashima
Comparison fields: 5 of 89
  • Pollution 380
  • Health, Toxicology and Mutagenesis 344
  • Insect Science 245
  • Plant Science 353
  • Ecology, Evolution, Behavior and Systematics 157
Replace Stephan Jänsch with:
Stephan Jänsch Germany
Alina Kafel Poland
Christophe Mazzia France
Chunlan Lian Japan
Agnieszka J. Bednarska Poland
Abhishek Mukherjee India
Jocelyn D.C. Hemming United States
Kathryn O’Halloran New Zealand
Olugbenga J. Owojori Nigeria
Mercedes Fernández‐Pascual Spain
John Kabashima relative to Stephan Jänsch Germany Stephan Jänsch's profile →
Citations per field
00.5×1.5×
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-authors

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

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005150
2 200499
3 200492
4 200491
5 199768
6 200761
7 200256
8 200042
9 200541
10 201238
11 201231
12 201729
13 200126
14 201024
15 199024
16 201823
17 200722
18 200319
19 200818
20 201617

About John Kabashima

John Kabashima is a scholar working on Insect Science, Plant Science, Ecology, Pollution and Genetics, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Forest Insect Ecology and Management (9 papers), Insect and Pesticide Research (8 papers), Insect and Arachnid Ecology and Behavior (6 papers), Pesticide and Herbicide Environmental Studies (6 papers), Plant Pathogens and Fungal Diseases (4 papers), Plant and animal studies (4 papers), Insect-Plant Interactions and Control (4 papers) and Environmental Toxicology and Ecotoxicology (4 papers). The work is most often cited by research in Pollution (380 citations), Health, Toxicology and Mutagenesis (344 citations), Insect Science (245 citations), Plant Science (353 citations) and Ecology, Evolution, Behavior and Systematics (157 citations). John Kabashima has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Darren Haver, Sang-Jin Lee, Jay Gan, Jianying Gan, Weiping Liu, Svetlana Bondarenko, Michael Κ. Rust, Julia Faucett, James M. Meyers and Ira Janowitz. Their work appears in journals such as Journal of Economic Entomology, Environmental Toxicology and Chemistry, Plant Disease, HortScience and American Industrial Hygiene Association Journal.

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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