Chad Carr

685 citations
27 papers · 511 · h-index 7

Impact in

Papers in

Chad Carr

19 papers receiving 506 citations

Peers

Chad Carr
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 153
  • Animal Science and Zoology 85
  • Surgery 314
  • Genetics 171
  • Molecular Medicine 20
Replace E. C. H. van Beresteijn with:
E. C. H. van Beresteijn Netherlands
Yi Vee Chew Australia
Shikha Sharma India
Shuwen Tan China
Jianmei Wu United States
Qien Qi China
Susan Fekken Netherlands
Clarissa Strieder‐Barboza United States
Andrew N. Flynn Canada
Zhentian Li China
Chad Carr relative to E. C. H. van Beresteijn Netherlands E. C. H. van Beresteijn's profile →
Citations per field
00.5×10.8×
E. C. H. van Beresteijn · 1×
Citations per year

Countries citing papers authored by Chad Carr

Since Specialization
Citations

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

Fields of papers citing papers by Chad Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chad Carr, 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 Chad Carr Line = papers co-authored together Chad Carr 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 2006357
2 201749
3 201931
4 201923
5 202011
6 20218
7 20157
8
Genomic-polygenic EBV for reproduction, ultrasound-carcass, and tenderness traits in the Florida multibreed Brahman-Angus population
20185
9 20144
10 20163
11 20233
12 20132
13 20192
14 20151
15 20121
16 20081
17 20121
18 20081
19 20191
20 20200

About Chad Carr

Chad Carr is a scholar working on Animal Science and Zoology, Food Science, Genetics, Small Animals and Molecular Biology, having authored 27 papers that have together received 511 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (11 papers), Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Animal Behavior and Welfare Studies (2 papers), Culinary Culture and Tourism (2 papers), Animal and Plant Science Education (2 papers), Effects of Environmental Stressors on Livestock (2 papers) and Diverse Educational Innovations Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (153 citations), Animal Science and Zoology (85 citations), Surgery (314 citations), Genetics (171 citations) and Molecular Medicine (20 citations). Chad Carr has collaborated with scholars based in United States and South Korea. Frequent co-authors include Peter O. Wiebe, Alvin C. Powers, Alena Shostak, Masakazu Shiota, H. Scott Baldwin, Wendell E. Nicholson, Maureen Gannon, David M. Bader, Greg Poffenberger and Marcela Briššová. Their work appears in journals such as Journal of Animal Science, Diabetes, Frontiers in Genetics, Animals and Science Communication.

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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