K. E. Kendle

30 papers receiving 307 citations

Peers

K. E. Kendle
Comparison fields: 5 of 90
  • Reproductive Medicine 50
  • Agronomy and Crop Science 37
  • Behavioral Neuroscience 10
  • Endocrinology, Diabetes and Metabolism 44
  • Immunology 52
Replace C. Secchi with:
C. Secchi Italy
I. Ringler United States
J. Coppola United States
Ryohei Okamoto Japan
Armando de la Peña United States
Y. Raoul France
V. L. Beach United States
M. Ikonen Finland
D.W. Hahn United States
John E. Creange United States
K. E. Kendle relative to C. Secchi Italy C. Secchi's profile →
Citations per field
00.5×1.5×
C. Secchi · 1×
Citations per year

Countries citing papers authored by K. E. Kendle

Since Specialization
Citations

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

Fields of papers citing papers by K. E. Kendle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside K. E. Kendle, 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 K. E. Kendle Line = papers co-authored together K. E. Kendle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198377
2 197327
3 198725
4 199723
5 198318
6 199717
7 198217
8 199016
9 197515
10 198015
11 197713
12 197613
13 197811
14 199210
15 196610
16 19787
17 19707
18 19695
19 19674
20 19694

About K. E. Kendle

K. E. Kendle is a scholar working on Genetics, Molecular Biology, Social Psychology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 357 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Neuroendocrine regulation and behavior (5 papers), Hormonal and reproductive studies (4 papers), Reproductive System and Pregnancy (4 papers), Reproductive Biology and Fertility (4 papers), Ovarian function and disorders (4 papers), Steroid Chemistry and Biochemistry (3 papers) and Reproductive Physiology in Livestock (3 papers). The work is most often cited by research in Reproductive Medicine (50 citations), Agronomy and Crop Science (37 citations), Behavioral Neuroscience (10 citations), Endocrinology, Diabetes and Metabolism (44 citations) and Immunology (52 citations). K. E. Kendle has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include R.B. Taylor, R.G. Reid, Howard L. McLeod, Jane Telford, V. Petrow, J. P. Bennett, Chi Tim Hung, J Cassidy, F. P. Rowe and Arnaud Lazarus. Their work appears in journals such as Reproduction, European Journal of Endocrinology, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, Medical Education and Nature.

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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