Melissa Gray

1.6k citations
30 papers · 700 · h-index 15

Impact in

  • Genetics top 5%
    • Genetic diversity and population structure
    • Human-Animal Interaction Studies
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Evolution and Genetic Dynamics
  • Equine top 10%

Papers in

    • Genetic diversity and population structure 9
    • Genetic and phenotypic traits in livestock 6
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Human-Animal Interaction Studies 3
    • Wildlife Ecology and Conservation 6

Melissa Gray

29 papers receiving 648 citations

Peers

Melissa Gray
Comparison fields: 5 of 100
  • Genetics 440
  • Equine 14
  • Ecology 228
  • Small Animals 53
  • Ecology, Evolution, Behavior and Systematics 135
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Melissa Gray relative to Leona G. Chemnick United States Leona G. Chemnick's profile →
Citations per field
00.5×4.8×
Leona G. Chemnick · 1×
Citations per year

Countries citing papers authored by Melissa Gray

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Melissa Gray, 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 Melissa Gray Line = papers co-authored together Melissa Gray 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 2009128
2 200591
3 200869
4 201060
5 200047
6 201446
7 201541
8 200126
9 200723
10 200122
11 200020
12 201019
13 200116
14 201615
15 201314
16 201612
17 20169
18 20058
19 20186
20 20106

About Melissa Gray

Melissa Gray is a scholar working on Genetics, Ecology, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Immunology, having authored 30 papers that have together received 700 indexed citations. Recurring topics across this work include Genetic diversity and population structure (9 papers), Wildlife Ecology and Conservation (6 papers), Genetic and phenotypic traits in livestock (6 papers), Fish Ecology and Management Studies (4 papers), Animal Behavior and Reproduction (4 papers), Plant and animal studies (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Human-Animal Interaction Studies (3 papers). The work is most often cited by research in Genetics (440 citations), Equine (14 citations), Ecology (228 citations), Small Animals (53 citations) and Ecology, Evolution, Behavior and Systematics (135 citations). Melissa Gray has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Robert K. Wayne, Elaine A. Ostrander, Nathan B. Sutter, Stephen C. Weeks, Carlos D. Bustamante, Dana S. Mosher, Bret A. Payseur, Adam R. Boyko, Julie M. Granka and Lan Zhu. Their work appears in journals such as Genetics, Journal of Mammalogy, Canadian Journal of Fisheries and Aquatic Sciences, Molecular Ecology and Evolution.

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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