Christopher C. Calvert

421 citations
10 papers · 358 · h-index 9

Impact in

  • Equine top 5%
    • Veterinary Equine Medical Research
    • Veterinary Medicine and Surgery

Papers in

    • Animal Nutrition and Physiology 2
    • Meat and Animal Product Quality 1
    • Biochemical effects in animals 2
    • Adipose Tissue and Metabolism 2
    • Diet and metabolism studies 1

Christopher C. Calvert

10 papers receiving 342 citations

Peers

Christopher C. Calvert
Comparison fields: 5 of 78
  • Equine 24
  • Small Animals 79
  • Biochemistry 45
  • Nutrition and Dietetics 58
  • Animal Science and Zoology 36
Replace Gregory D. Sunvold with:
Gregory D. Sunvold United States
Alenka Nemec Svete Slovenia
John Flanagan United Kingdom
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A. Faulkner United Kingdom
Yingcai Lin China
GJ Judson Australia
Maddalena Mutinati Italy
Marion Burmester Germany
Christopher C. Calvert relative to Gregory D. Sunvold United States Gregory D. Sunvold's profile →
Citations per field
00.5×2.9×
Gregory D. Sunvold · 1×
Citations per year

Countries citing papers authored by Christopher C. Calvert

Since Specialization
Citations

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

Fields of papers citing papers by Christopher C. Calvert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher C. Calvert. 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 Christopher C. Calvert. The network helps show where Christopher C. Calvert may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2014116
2 200368
3 198543
4 200227
5 201626
6 199524
7 198823
8 199415
9 201910
10 20076

About Christopher C. Calvert

Christopher C. Calvert is a scholar working on Animal Science and Zoology, Physiology, Endocrine and Autonomic Systems, Nutrition and Dietetics and Surgery, having authored 10 papers that have together received 358 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (3 papers), Biochemical effects in animals (2 papers), Animal Nutrition and Physiology (2 papers), Adipose Tissue and Metabolism (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Diet and metabolism studies (1 paper), Muscle metabolism and nutrition (1 paper) and Meat and Animal Product Quality (1 paper). The work is most often cited by research in Equine (24 citations), Small Animals (79 citations), Biochemistry (45 citations), Nutrition and Dietetics (58 citations) and Animal Science and Zoology (36 citations). Christopher C. Calvert has collaborated with scholars based in United States, Spain and Russia. Frequent co-authors include Rosa M. Lamuela‐Raventós, Ying Yng Choy, Andrew L. Waterhouse, Paola Quifer‐Rada, Robert C. Backus, Steven A. Frese, David A. Mills, Dirk M. Holstege, Bruce M. Wolfe and J. G. Morris. Their work appears in journals such as Journal of Nutrition, Domestic Animal Endocrinology, Transgenic Research, Molecular Nutrition & Food Research and Nutrients.

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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