John D. McVay

27 papers receiving 1.0k citations

Peers

John D. McVay
Comparison fields: 5 of 61
  • Ecological Modeling 130
  • Nature and Landscape Conservation 215
  • Genetics 436
  • Ecology, Evolution, Behavior and Systematics 298
  • Paleontology 98
Replace Fabiano Salgueiro with:
Fabiano Salgueiro Brazil
Marlene Hahn United States
Elizabeth A. Stacy United States
Thibault Leroy France
Ann Willyard United States
Caroline Scotti‐Saintagne France
María Fernanda Torres Jiménez United States
Fábio Pinheiro Brazil
Paula Marchelli Argentina
Angel G. Rivera‐Colón United States
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Citations per field
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Citations per year

Countries citing papers authored by John D. McVay

Since Specialization
Citations

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

Fields of papers citing papers by John D. McVay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019250
2 2017207
3 201797
4 201367
5 201965
6 201744
7 200836
8 201332
9 201728
10 201528
11 201027
12 201925
13 200923
14 200820
15 200918
16 202117
17 201317
18 202111
19 20178
20 20216

About John D. McVay

John D. McVay is a scholar working on Paleontology, Genetics, Endocrinology, Plant Science and Cell Biology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic diversity and population structure (11 papers), Plant Virus Research Studies (6 papers), Amphibian and Reptile Biology (6 papers), Plant Pathogens and Fungal Diseases (5 papers), Plant and Fungal Interactions Research (5 papers), Genomics and Phylogenetic Studies (5 papers), Evolution and Paleontology Studies (5 papers) and Plant Disease Management Techniques (3 papers). The work is most often cited by research in Ecological Modeling (130 citations), Nature and Landscape Conservation (215 citations), Genetics (436 citations), Ecology, Evolution, Behavior and Systematics (298 citations) and Paleontology (98 citations). John D. McVay has collaborated with scholars based in United States, Mexico and Australia. Frequent co-authors include Andrew L. Hipp, Paul S. Manos, Bryan C. Carstens, Antonio González‐Rodríguez, Marlene Hahn, Jeannine M. Cavender-Bares, Matthew A. Kaproth, Duncan A. Hauser, Andrew A. Crowl and Emily Moriarty Lemmon. Their work appears in journals such as Plant Health Progress, Plant Disease, New Phytologist, Molecular Phylogenetics and Evolution and Biological Journal of the Linnean Society.

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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