Jack C. McCarty

5.5k citations
230 papers · 4.5k · h-index 36

Impact in

  • Endocrinology top 0.5%
    • Plant and Fungal Interactions Research
  • Plant Science top 0.5%
    • Research in Cotton Cultivation
    • Plant Virus Research Studies
    • Genetics and Plant Breeding
    • Nematode management and characterization studies

Papers in

    • Research in Cotton Cultivation 170
    • Plant Virus Research Studies 44
    • Nematode management and characterization studies 14
    • Genetics and Plant Breeding 12
    • Insect-Plant Interactions and Control 41

Jack C. McCarty

222 papers receiving 4.1k citations

Peers

Jack C. McCarty
Comparison fields: 5 of 92
  • Endocrinology 791
  • Plant Science 4.1k
  • Horticulture 43
  • Insect Science 532
  • Agronomy and Crop Science 300
Replace C. Wayne Smith with:
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Citations per field
00.5×2×3.4×
C. Wayne Smith · 1×
Citations per year

Countries citing papers authored by Jack C. McCarty

Since Specialization
Citations

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

Fields of papers citing papers by Jack C. McCarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack C. McCarty. 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 Jack C. McCarty. The network helps show where Jack C. McCarty may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 230 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000136
2 2004118
3 2014112
4 2016109
5 2014102
6 199095
7 200594
8 200290
9 200888
10 200584
11 199884
12 199672
13 199170
14 201867
15 199067
16 201065
17 200763
18 200663
19 199661
20 200861

About Jack C. McCarty

Jack C. McCarty is a scholar working on Plant Science, Insect Science, Endocrinology, Genetics and Agronomy and Crop Science, having authored 230 papers that have together received 4.5k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (170 papers), Plant Virus Research Studies (44 papers), Insect-Plant Interactions and Control (41 papers), Plant and Fungal Interactions Research (33 papers), Insect Resistance and Genetics (26 papers), Nematode management and characterization studies (14 papers), Genetics and Plant Breeding (12 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). The work is most often cited by research in Endocrinology (791 citations), Plant Science (4.1k citations), Horticulture (43 citations), Insect Science (532 citations) and Agronomy and Crop Science (300 citations). Jack C. McCarty has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Johnie Norton Jenkins, Jixiang Wu, Sukumar Saha, William L. Parrott, Osman Ariel Gutierrez, David M. Stelly, David D. Fang, Connor Watson, Paul A. Hedin and Gregory N. Thyssen. Their work appears in journals such as Crop Science, Euphytica, Journal of Agricultural and Food Chemistry, Theoretical and Applied Genetics and Journal of Economic Entomology.

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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