E. E. Connor

535 citations
18 papers · 451 · h-index 9

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 8
    • Estrogen and related hormone effects 4
    • Animal Genetics and Reproduction 3
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Reproductive Physiology in Livestock 7
    • Ruminant Nutrition and Digestive Physiology 2

E. E. Connor

18 papers receiving 438 citations

Peers

E. E. Connor
Comparison fields: 5 of 59
  • Agronomy and Crop Science 260
  • Animal Science and Zoology 142
  • Genetics 253
  • Small Animals 44
  • Endocrinology, Diabetes and Metabolism 42
Replace S. A. McCoard with:
S. A. McCoard New Zealand
M. J. Meyer United States
P.J. Bridges United States
Mohamed S. Medan Egypt
Carolina Bespalhok Jacometo Brazil
Lasse Bøllehuus Hansen United States
V.E.A. Perry Australia
K. Taniguchi Japan
Sanggun Roh Japan
R. C. Fry Australia
E. E. Connor relative to S. A. McCoard New Zealand S. A. McCoard's profile →
Citations per field
00.5×1.5×
S. A. McCoard · 1×
Citations per year

Countries citing papers authored by E. E. Connor

Since Specialization
Citations

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

Fields of papers citing papers by E. E. Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2015108
2 201394
3 200752
4 200543
5 200841
6 201536
7 200519
8 200716
9 200512
10 20046
11 20046
12 20105
13 20034
14 20053
15 20053
16 20161
17 20111
18 20161

About E. E. Connor

E. E. Connor is a scholar working on Genetics, Agronomy and Crop Science, Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 18 papers that have together received 451 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (8 papers), Reproductive Physiology in Livestock (7 papers), Estrogen and related hormone effects (4 papers), Animal Genetics and Reproduction (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Cell death mechanisms and regulation (2 papers) and Ruminant Nutrition and Digestive Physiology (2 papers). The work is most often cited by research in Agronomy and Crop Science (260 citations), Animal Science and Zoology (142 citations), Genetics (253 citations), Small Animals (44 citations) and Endocrinology, Diabetes and Metabolism (42 citations). E. E. Connor has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include A.V. Capuco, D.L. Wood, Curtis P. Van Tassell, J.L. Hutchison, H.D. Norman, K.M. Olson, R.L. Baldwin, M.E. Van Amburgh, J. L. Williams and M. J. Meyer. Their work appears in journals such as Journal of Animal Science, Animal Genetics, Journal of Dairy Science, Cytogenetic and Genome Research 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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