Kay M. Cocker

535 citations
7 papers · 399 indexed · h-index 6

Impact in

Papers in

    • Geochemistry and Elemental Analysis 2
    • Weed Control and Herbicide Applications 4
    • Silicon Effects in Agriculture 3
    • Aluminum toxicity and tolerance in plants and animals 3
    • Allelopathy and phytotoxic interactions 2
    • Nematode management and characterization studies 1

Kay M. Cocker

7 papers receiving 371 citations

Peers

Kay M. Cocker
Comparison fields: 5 of 40
  • Geochemistry and Petrology 99
  • Pollution 119
  • Plant Science 367
  • Biomaterials 36
  • Agronomy and Crop Science 23
Replace Long Wei with:
Long Wei China
Milada Čiamporová Slovakia
T. Kiran Babu India
M. E. Van Steveninck Australia
Wilfried Rémus‐Borel Canada
Dragana Bosnić Serbia
Predrag Bosnić Serbia
Vandana Thakral India
Alonso González United States
E. Masarovičová Slovakia
Kay M. Cocker relative to Long Wei China Long Wei's profile →
Citations per field
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Countries citing papers authored by Kay M. Cocker

Since Specialization
Citations

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

Fields of papers citing papers by Kay M. Cocker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay M. Cocker. 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 Kay M. Cocker. The network helps show where Kay M. Cocker may publish in the future.

Co-authorship network

The 8 scholars most cited alongside Kay M. Cocker, 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 Kay M. Cocker Line = papers co-authored together Kay M. Cocker links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 200344
2 200149
3 20011
4 199978
5 1998132
6 199879
7 199716

About Kay M. Cocker

Kay M. Cocker is a scholar working on Geochemistry and Petrology, Plant Science, Pollution, Biomaterials and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 399 indexed citations. Recurring topics across this work include Weed Control and Herbicide Applications (4 papers), Silicon Effects in Agriculture (3 papers), Aluminum toxicity and tolerance in plants and animals (3 papers), Allelopathy and phytotoxic interactions (2 papers), Pesticide and Herbicide Environmental Studies (2 papers), Geochemistry and Elemental Analysis (2 papers), Plant and fungal interactions (1 paper) and Nematode management and characterization studies (1 paper). The work is most often cited by research in Geochemistry and Petrology (99 citations), Pollution (119 citations), Plant Science (367 citations), Biomaterials (36 citations) and Agronomy and Crop Science (23 citations). Kay M. Cocker has collaborated with scholars based in United Kingdom, Canada and India. Frequent co-authors include David Evans, Martin J. Hodson, S. R. Moss, J. O. D. Coleman, Amanda C. Brown, Linda M. Hall, L. M. Field and A. G. Sangster. Their work appears in journals such as Pest Management Science, Physiologia Plantarum, Planta, Pesticide Biochemistry and Physiology and Israel Journal of Plant 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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