John E. Gadsby

1.7k citations
51 papers · 1.3k · h-index 19

Impact in

Papers in

John E. Gadsby

50 papers receiving 1.3k citations

Peers

John E. Gadsby
Comparison fields: 5 of 79
  • Agronomy and Crop Science 898
  • Equine 72
  • Small Animals 260
  • Immunology 338
  • Reproductive Medicine 125
Replace J. L. Pate with:
J. L. Pate United States
Tomás J. Acosta Japan
Paula de Carvalho Papa Brazil
K. M. Henderson New Zealand
Missaka P.B. Wijayagunawardane Japan
Agnieszka Blitek Poland
Joy L. Pate United States
E. K. Inskeep United States
Aydın Güzeloğlu Türkiye
Kunitada SATO Japan
John E. Gadsby relative to J. L. Pate United States J. L. Pate's profile →
Citations per field
00.5×1.5×2.1×
J. L. Pate · 1×
Citations per year

Countries citing papers authored by John E. Gadsby

Since Specialization
Citations

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

Fields of papers citing papers by John E. Gadsby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009203
2 1980113
3 1976109
4 200079
5 199075
6 197954
7 197952
8 197951
9
Expression and localization of hypoxia inducible factor-1alpha mRNA in the porcine ovary.
200542
10 199341
11 199336
12 199631
13 200030
14 198326
15 200324
16 199423
17 201021
18 197519
19 199919
20 199118

About John E. Gadsby

John E. Gadsby is a scholar working on Agronomy and Crop Science, Genetics, Endocrinology, Diabetes and Metabolism, Small Animals and Animal Science and Zoology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (37 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Reproductive System and Pregnancy (7 papers), Reproductive Biology and Fertility (7 papers), Veterinary Equine Medical Research (6 papers), Estrogen and related hormone effects (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Veterinary Medicine and Surgery (4 papers). The work is most often cited by research in Agronomy and Crop Science (898 citations), Equine (72 citations), Small Animals (260 citations), Immunology (338 citations) and Reproductive Medicine (125 citations). John E. Gadsby has collaborated with scholars based in United States, Slovakia and Russia. Frequent co-authors include R. B. Heap, Robert D. Burton, J.H. Britt, A. P. F. Flint, IM Sheldon, J. Cronin, R.O. Gilbert, James M. Hammond, T. A. Fitz and S.-A. Wandji. Their work appears in journals such as Reproduction, Biology of Reproduction, Domestic Animal Endocrinology, Endocrinology and Reproduction in Domestic Animals.

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.

Explore authors with similar magnitude of impact