John C. Byatt

1.8k citations
45 papers · 1.4k indexed · h-index 25

Impact in

Papers in

John C. Byatt

45 papers receiving 1.4k citations

Peers

John C. Byatt
Comparison fields: 5 of 83
  • Agronomy and Crop Science 401
  • Aquatic Science 253
  • Endocrinology, Diabetes and Metabolism 539
  • Physiology 117
  • Genetics 643
Replace M. Terqui with:
M. Terqui France
R. J. Fairclough Australia
J.I. Raeside Canada
J. F. Dickey United States
Masafumi TETSUKA Japan
Susan M. Quirk United States
Janet F. Roser United States
Luiz R. França Brazil
H. R. Sawyer United States
Neal L. First United States
John C. Byatt relative to M. Terqui France M. Terqui's profile →
Citations per field
00.5×1.5×2.4×
M. Terqui · 1×
Citations per year

Countries citing papers authored by John C. Byatt

Since Specialization
Citations

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

Fields of papers citing papers by John C. Byatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2001170
2 200131
3 200117
4 19994
5 199921
6 199729
7 199560
8 199540
9 199444
10 19938
11 199310
12 199257
13 199213
14 199234
15 199229
16 199127
17 199023
18 199016
19 199016
20 199038

About John C. Byatt

John C. Byatt is a scholar working on Endocrinology, Diabetes and Metabolism, Aquatic Science, Agronomy and Crop Science, Physiology and Genetics, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (26 papers), Reproductive Physiology in Livestock (12 papers), Animal Genetics and Reproduction (11 papers), Aquaculture Nutrition and Growth (10 papers), Infant Nutrition and Health (7 papers), Genetic and phenotypic traits in livestock (5 papers), Reproductive biology and impacts on aquatic species (5 papers) and Digestive system and related health (5 papers). The work is most often cited by research in Agronomy and Crop Science (401 citations), Aquatic Science (253 citations), Endocrinology, Diabetes and Metabolism (539 citations), Physiology (117 citations) and Genetics (643 citations). John C. Byatt has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include R.J. Collier, Robert H. Devlin, Nicholas R. Staten, Robert D. Bremel, Timothy Y. Yesaki, Ewen McLean, Gwen G. Krivi, P.J. Eppard, Daniel F. Curran and Carlo A. Biagi. Their work appears in journals such as Journal of Dairy Science, Endocrinology, Aquaculture, Journal of Animal Science and Journal of Endocrinology.

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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