John Crow

1.7k citations
27 papers · 805 indexed · h-index 14

Impact in

    • Phytoplasmas and Hemiptera pathogens
    • Plant Molecular Biology Research
    • Chromosomal and Genetic Variations
    • Legume Nitrogen Fixing Symbiosis

Papers in

    • Soybean genetics and cultivation 4
    • Legume Nitrogen Fixing Symbiosis 3
    • Plant Molecular Biology Research 2
    • Plant-Microbe Interactions and Immunity 2

John Crow

25 papers receiving 785 citations

Peers

John Crow
Comparison fields: 5 of 80
  • Plant Science 485
  • Horticulture 10
  • Pharmacology 76
  • Insect Science 104
  • Molecular Biology 375
Replace Inderjit Singh Yadav with:
Inderjit Singh Yadav India
Vladimír Mikeš Czechia
Cláudia Ross Germany
María del Carmen Gutiérrez Mexico
Nataša Štajner Slovenia
Ahmet İpek Türkiye
Xiaolong Huang China
J.-P. Blein France
Marie‐Louise Milat France
Min‐Woo Lee South Korea
John Crow relative to Inderjit Singh Yadav India Inderjit Singh Yadav's profile →
Citations per field
00.5×5.8×
Inderjit Singh Yadav · 1×
Citations per year

Countries citing papers authored by John Crow

Since Specialization
Citations

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

Fields of papers citing papers by John Crow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010113
2 201292
3 201575
4 201473
5 201262
6 201656
7 200154
8 201250
9 201243
10 201440
11 201435
12 200618
13 200317
14 200114
15 199313
16 201411
17 20119
18 20218
19 20038
20 20134

About John Crow

John Crow is a scholar working on Plant Science, Parasitology, Applied Mathematics, Mathematical Physics and Genetics, having authored 27 papers that have together received 805 indexed citations. Recurring topics across this work include Soybean genetics and cultivation (4 papers), Genomics and Phylogenetic Studies (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Psychedelics and Drug Studies (2 papers), Plant Molecular Biology Research (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Plant Science (485 citations), Horticulture (10 citations), Pharmacology (76 citations), Insect Science (104 citations) and Molecular Biology (375 citations). John Crow has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Gregory D. May, Matthew B. Kilgore, Toni M. Kutchan, Megan M. Augustin, Ernest F. Retzel, Robin S. S. Kramer, Andrew Farmer, Joann Mudge, David R. Gang and William M. Nelson. Their work appears in journals such as Frontiers in Plant Science, American Journal of Botany, Genome, BMC Genomics and BMC Plant Biology.

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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