Michael Dooley

32 papers receiving 704 citations

Peers

Michael Dooley
Comparison fields: 5 of 90
  • Obstetrics and Gynecology 179
  • Reproductive Medicine 153
  • Small Animals 74
  • Equine 15
  • Public Health, Environmental and Occupational Health 229
Replace Sergio C. Stone with:
Sergio C. Stone United States
Vı́ctor H. Parraguez Chile
Carl J. Pauerstein United States
John D. Jacobson United States
Birgitta Larsson Sweden
Marta Hernández Chile
F.A. Helmond Netherlands
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Citations per year

Countries citing papers authored by Michael Dooley

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016125
2
McDonald's veterinary endocrinology and reproduction
200395
3 201781
4 201867
5 201667
6 198636
7 199032
8 199131
9 200031
10 200026
11 198720
12 202219
13 198618
14 198417
15 199910
16
Reproductive patterns of sheep and goats.
200310
17
Patterns of reproduction.
20039
18 19947
19 19947
20 19985

About Michael Dooley

Michael Dooley is a scholar working on Reproductive Medicine, Urology, Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Obstetrics and Gynecology, having authored 34 papers that have together received 740 indexed citations. Recurring topics across this work include Sperm and Testicular Function (10 papers), Urological Disorders and Treatments (6 papers), Reproductive Physiology in Livestock (6 papers), Gestational Diabetes Research and Management (5 papers), Pregnancy-related medical research (5 papers), Urinary Bladder and Prostate Research (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Obstetrics and Gynecology (179 citations), Reproductive Medicine (153 citations), Small Animals (74 citations), Equine (15 citations) and Public Health, Environmental and Occupational Health (229 citations). Michael Dooley has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include M. H. Pineda, Ingrid Nygaard, Raúl Artal, Gregory Davies, Wendy J. Brown, Tarja I. Kinnunen, Walter H. Hsu, Britt Stuge, Lene A. H. Haakstad and Bengt Kayser. Their work appears in journals such as American Journal of Veterinary Research, Theriogenology, British Journal of Sports Medicine, Infectious Diseases in Obstetrics and Gynecology and Bioelectromagnetics.

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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