Tom A. E. Stout

5.5k total citations
176 papers, 4.0k citations indexed

About

Tom A. E. Stout is a scholar working on Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Reproductive Medicine. According to data from OpenAlex, Tom A. E. Stout has authored 176 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Public Health, Environmental and Occupational Health, 76 papers in Agronomy and Crop Science and 73 papers in Reproductive Medicine. Recurrent topics in Tom A. E. Stout's work include Reproductive Biology and Fertility (103 papers), Reproductive Physiology in Livestock (71 papers) and Sperm and Testicular Function (69 papers). Tom A. E. Stout is often cited by papers focused on Reproductive Biology and Fertility (103 papers), Reproductive Physiology in Livestock (71 papers) and Sperm and Testicular Function (69 papers). Tom A. E. Stout collaborates with scholars based in Netherlands, South Africa and Belgium. Tom A. E. Stout's co-authors include B. Colenbrander, Marian Aalberts, Willem Stoorvogel, Bart M. Gadella, A. Claes, Marta de Ruijter‐Villani, Theerawat Tharasanit, Helena T. A. van Tol, Juan Cuervo‐Arango and Cesare Galli and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Tom A. E. Stout

171 papers receiving 3.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom A. E. Stout Netherlands 37 2.1k 1.6k 1.3k 1.1k 631 176 4.0k
H. Bollwein Germany 37 1.5k 0.7× 1.4k 0.9× 2.8k 2.1× 327 0.3× 1.5k 2.4× 226 4.5k
R.A. Godke United States 35 3.1k 1.5× 1.4k 0.9× 1.3k 1.0× 1.7k 1.6× 1.6k 2.6× 191 4.6k
Alan D. Ealy United States 37 1.7k 0.8× 508 0.3× 2.3k 1.7× 1.2k 1.1× 1.4k 2.1× 145 4.1k
Christiane Pfarrer Germany 32 447 0.2× 301 0.2× 881 0.7× 804 0.7× 416 0.7× 132 3.1k
Pilar Coy Spain 37 2.5k 1.2× 2.2k 1.3× 641 0.5× 925 0.8× 775 1.2× 107 3.5k
Pascal Mermillod France 49 5.7k 2.8× 3.6k 2.2× 1.6k 1.2× 2.6k 2.3× 1.6k 2.6× 212 7.2k
D. Rath Germany 35 2.0k 1.0× 1.6k 1.0× 619 0.5× 689 0.6× 1.1k 1.7× 103 3.1k
U. Besenfelder Austria 31 1.5k 0.7× 608 0.4× 867 0.7× 1.0k 0.9× 1.0k 1.6× 101 2.9k
Preben D. Thomsen Denmark 30 859 0.4× 293 0.2× 236 0.2× 1.4k 1.3× 1.1k 1.8× 126 3.0k
Kazuhiko Imakawa Japan 41 952 0.5× 732 0.5× 2.7k 2.0× 1.6k 1.4× 1.4k 2.2× 206 5.7k

Countries citing papers authored by Tom A. E. Stout

Since Specialization
Citations

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

Fields of papers citing papers by Tom A. E. Stout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom A. E. Stout

This figure shows the co-authorship network connecting the top 25 collaborators of Tom A. E. Stout. A scholar is included among the top collaborators of Tom A. E. Stout based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom A. E. Stout. Tom A. E. Stout is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Scoggin, Kirsten E., et al.. (2025). Gestation-Stage Related Changes in the IGF System Components in the Equine Placenta. Biomolecules. 15(8). 1135–1135.
2.
3.
Doorn, D.A. van, et al.. (2021). Effect of Overfeeding Shetland Pony Mares on Embryonic Glucose and Lipid Accumulation, and Expression of Imprinted Genes. Animals. 11(9). 2504–2504. 2 indexed citations
4.
Ruijter‐Villani, Marta de, et al.. (2021). Dual spindles assemble in bovine zygotes despite the presence of paternal centrosomes. The Journal of Cell Biology. 220(11). 28 indexed citations
5.
Wijnberg, Inge D., et al.. (2021). Effect of a long-term high-energy diet on cardiovascular parameters in Shetland pony mares. Journal of Veterinary Internal Medicine. 35(5). 2427–2436. 2 indexed citations
6.
Doorn, D.A. van, et al.. (2021). Overfeeding Extends the Period of Annual Cyclicity but Increases the Risk of Early Embryonic Death in Shetland Pony Mares. Animals. 11(2). 361–361. 4 indexed citations
7.
Doorn, D.A. van, et al.. (2020). Effect of long-term overfeeding of a high-energy diet on glucose tolerance in Shetland pony mares. Journal of Veterinary Internal Medicine. 34(3). 1339–1349. 10 indexed citations
8.
Tol, Helena T. A. van, David Rosenkranz, Elke F. Roovers, et al.. (2020). PIWIL3 Forms a Complex with TDRKH in Mammalian Oocytes. Cells. 9(6). 1356–1356. 12 indexed citations
9.
Cuervo‐Arango, Juan, A. Claes, & Tom A. E. Stout. (2019). In vitro-produced horse embryos exhibit a very narrow window of acceptable recipient mare uterine synchrony compared with in vivo-derived embryos. Reproduction Fertility and Development. 31(12). 1904–1911. 12 indexed citations
10.
Cuervo‐Arango, Juan, A. Claes, & Tom A. E. Stout. (2019). Mare and stallion effects on blastocyst production in a commercial equine ovum pick-up–intracytoplasmic sperm injection program. Reproduction Fertility and Development. 31(12). 1894–1903. 26 indexed citations
11.
Kydd, Julia H., et al.. (2019). Failure to detect equid herpesvirus types 1 and 4 DNA in placentae and healthy new-born Thoroughbred foals. Journal of the South African Veterinary Association. 90(0). e1–e5. 1 indexed citations
12.
Janečka, Jan E., Brian W. Davis, Sharmila Ghosh, et al.. (2018). Horse Y chromosome assembly displays unique evolutionary features and putative stallion fertility genes. Nature Communications. 9(1). 2945–2945. 55 indexed citations
13.
Cuervo‐Arango, Juan, A. Claes, & Tom A. E. Stout. (2018). Effect of embryo transfer technique on the likelihood of pregnancy in the mare: a comparison of conventional and Wilsher's forceps‐assisted transfer. Veterinary Record. 183(10). 323–323. 16 indexed citations
14.
Somgird, Chaleamchat, Sittidet Mahasawangkul, Janine L. Brown, et al.. (2015). Differential testosterone response to GnRH-induced LH release before and after musth in adult Asian elephant (Elephas maximus) bulls. Theriogenology. 85(7). 1225–1232. 7 indexed citations
15.
Colleoni, Silvia, Cesare Galli, Damien B.B.P. Paris, et al.. (2015). Maternal age and in vitro culture affect mitochondrial number and function in equine oocytes and embryos. Reproduction Fertility and Development. 27(6). 957–968. 31 indexed citations
16.
Stout, Tom A. E., et al.. (2014). Gastrulation and the establishment of the three germ layers in the early horse conceptus. Theriogenology. 82(2). 354–365. 14 indexed citations
17.
Boer, Willem F. de, et al.. (2007). Prospects for managing African elephant population growth by immunocontraception: a review. Pachyderm. 42. 95–105. 13 indexed citations
18.
Colenbrander, B., et al.. (2004). Managing African Elephant Populations: Act or let die. Data Archiving and Networked Services (DANS). 2 indexed citations
19.
20.
Stout, Tom A. E. & W. R. Allen. (2001). Role of prostaglandins in intrauterine migration of the equine conceptus. Reproduction. 121(5). 771–775. 69 indexed citations

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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