Jack Brown

1.8k citations
64 papers · 1.5k · h-index 23

Impact in

    • Genetics and Plant Breeding
    • Plant Disease Management Techniques
    • Plant-Microbe Interactions and Immunity
    • Nematode management and characterization studies
    • Plant Pathogens and Resistance

Papers in

    • Genetics and Plant Breeding 29
    • Plant Disease Management Techniques 7
    • Nematode management and characterization studies 3
    • Plant Disease Resistance and Genetics 3

Jack Brown

64 papers receiving 1.2k citations

Peers

Jack Brown
Comparison fields: 5 of 63
  • Plant Science 1.1k
  • Agronomy and Crop Science 121
  • Insect Science 86
  • Genetics 120
  • Soil Science 55
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Citations per field
00.5×1.5×
Brian T. Scully · 1×
Citations per year

Countries citing papers authored by Jack Brown

Since Specialization
Citations

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

Fields of papers citing papers by Jack Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007134
2 200873
3 200868
4 199767
5 199663
6 201563
7 201160
8 201059
9 198751
10 199948
11 198445
12 199839
13 201134
14 198931
15 199231
16 200230
17 201330
18 202030
19 198829
20 199927

About Jack Brown

Jack Brown is a scholar working on Plant Science, Agronomy and Crop Science, Molecular Biology, Insect Science and Genetics, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetics and Plant Breeding (29 papers), Nitrogen and Sulfur Effects on Brassica (12 papers), Plant Disease Management Techniques (7 papers), Insect-Plant Interactions and Control (3 papers), Nematode management and characterization studies (3 papers), Plant tissue culture and regeneration (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Plant Disease Resistance and Genetics (3 papers). The work is most often cited by research in Plant Science (1.1k citations), Agronomy and Crop Science (121 citations), Insect Science (86 citations), Genetics (120 citations) and Soil Science (55 citations). Jack Brown has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Peter D.S. Caligari, Mark Mazzola, Jim B. Davis, Antonio D. Izzo, G. R. Mackay, Robert S. Zemetra, Gennaro Fazio, Helen E. Stewart, R. L. Wastie and Xiaowen Zhao. Their work appears in journals such as Annals of Applied Biology, Crop Science, Euphytica, The Journal of Agricultural Science and Theoretical and Applied Genetics.

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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