E. Gus Cothran

2.6k citations
76 papers · 1.5k indexed · h-index 23
Topics
Genetic and phenotypic traits in livestock (49 papers)Genetic diversity and population structure (42 papers)Genetic Mapping and Diversity in Plants and Animals (14 papers)

In The Last Decade

E. Gus Cothran

73 papers receiving 1.4k citations

Peers

E. Gus Cothran
Comparison fields: 5 of 94
  • Genetics 1.1k
  • Ecology 302
  • Molecular Biology 235
  • Equine 230
  • Ecology, Evolution, Behavior and Systematics 219
Replace María do Mar Oom with:
María do Mar Oom Portugal
A. T. Bowling United States
Monika Reißmann Germany
Jennifer R. S. Meadows Sweden
John T. Soley South Africa
Budhan S. Pukazhenthi United States
Khurram Maqbool Sweden
Jesús Fernández Spain
Mirte Bosse Netherlands
Rebecca R. Bellone United States
E. Gus Cothran relative to María do Mar Oom Portugal María do Mar Oom's profile →
Citations per field
00.5×3.1×
María do Mar Oom · 1×
Citations per year

Countries citing papers authored by E. Gus Cothran

Since Specialization
Citations

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

Fields of papers citing papers by E. Gus Cothran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Gus Cothran. 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 E. Gus Cothran. The network helps show where E. Gus Cothran may publish in the future.

Co-authorship network of co-authors of E. Gus Cothran

This figure shows the co-authorship network connecting the top 25 collaborators of E. Gus Cothran. A scholar is included among the top collaborators of E. Gus Cothran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. Gus Cothran. E. Gus Cothran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 10
4 13
5 75
6 57
7 37
8 27
9 2
10 79
11 52
12 13
13 29
14 9
15 7
16
Absence of the severe combined immunodeficiency disease gene among Arabian horses in Poland
6
17 27
18 96
19 2
20 58

About E. Gus Cothran

E. Gus Cothran is a scholar working on Equine, Genetics and Agronomy and Crop Science, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (49 papers), Genetic diversity and population structure (42 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). The work is most often cited by research in Equine (230 citations), Genetics (1.1k citations) and Ecology (302 citations). E. Gus Cothran has collaborated with scholars based in United States, Portugal and Canada. Frequent co-authors include Rytis Juras, Cristina Luı́s, María do Mar Oom, Anas M. Khanshour, Paul E. Johns, William S. F. Schuster, Ronald K. Chesser, J. B. Mitton, Michael H. Smith and E. G. Zimmerman. Their work appears in journals such as PLoS ONE, Evolution and Cellular and Molecular Life Sciences.

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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