Carleigh E. Fedorka

479 total citations
41 papers, 350 citations indexed

About

Carleigh E. Fedorka is a scholar working on Agronomy and Crop Science, Immunology and Reproductive Medicine. According to data from OpenAlex, Carleigh E. Fedorka has authored 41 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Agronomy and Crop Science, 25 papers in Immunology and 12 papers in Reproductive Medicine. Recurrent topics in Carleigh E. Fedorka's work include Reproductive Physiology in Livestock (28 papers), Reproductive System and Pregnancy (23 papers) and Veterinary Equine Medical Research (9 papers). Carleigh E. Fedorka is often cited by papers focused on Reproductive Physiology in Livestock (28 papers), Reproductive System and Pregnancy (23 papers) and Veterinary Equine Medical Research (9 papers). Carleigh E. Fedorka collaborates with scholars based in United States, Egypt and Brazil. Carleigh E. Fedorka's co-authors include Igor F. Canisso, Lorenzo Segabinazzi, Barry A. Ball, Mats H.T. Troedsson, Kirsten E. Scoggin, Shavahn C. Loux, Hossam El‐Sheikh Ali, E.L. Squires, Pouya Dini and Alejandro Esteller‐Vico and has published in prestigious journals such as International Journal of Molecular Sciences, Biology of Reproduction and Reproduction.

In The Last Decade

Carleigh E. Fedorka

34 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carleigh E. Fedorka United States 11 211 166 110 78 59 41 350
Abdorrahman S. Alghamdi United States 6 151 0.7× 211 1.3× 77 0.7× 144 1.8× 16 0.3× 8 357
Murat Fındık Türkiye 12 168 0.8× 72 0.4× 70 0.6× 41 0.5× 188 3.2× 39 367
Hossam El‐Sheikh Ali Egypt 15 315 1.5× 156 0.9× 66 0.6× 164 2.1× 64 1.1× 64 550
Lorenzo Segabinazzi Brazil 9 225 1.1× 101 0.6× 174 1.6× 127 1.6× 39 0.7× 59 399
Maria Inês Mascarenhas Jobim Brazil 11 161 0.8× 37 0.2× 79 0.7× 304 3.9× 22 0.4× 40 454
Ricardo Perecin Nociti Brazil 10 110 0.5× 49 0.3× 10 0.1× 60 0.8× 54 0.9× 48 309
Adam Brodzki Poland 13 182 0.9× 94 0.6× 15 0.1× 13 0.2× 91 1.5× 49 425
Go Kitahara Japan 14 362 1.7× 61 0.4× 8 0.1× 128 1.6× 95 1.6× 62 575
Mazdak Salavati United Kingdom 16 229 1.1× 35 0.2× 10 0.1× 31 0.4× 28 0.5× 42 607
L. D. P. Sinedino United States 10 549 2.6× 124 0.7× 6 0.1× 21 0.3× 172 2.9× 12 637

Countries citing papers authored by Carleigh E. Fedorka

Since Specialization
Citations

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

Fields of papers citing papers by Carleigh E. Fedorka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carleigh E. Fedorka

This figure shows the co-authorship network connecting the top 25 collaborators of Carleigh E. Fedorka. A scholar is included among the top collaborators of Carleigh E. Fedorka 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 Carleigh E. Fedorka. Carleigh E. Fedorka 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.
Fedorka, Carleigh E., et al.. (2025). Unveiling the equine placental transcriptome: A novel study on ICSI-derived pregnancies. Theriogenology. 237. 120–128.
3.
4.
Fedorka, Carleigh E., et al.. (2024). The Effect of Seminal Plasma on the Equine Endometrial Transcriptome. Reproduction in Domestic Animals. 59(9). e14711–e14711. 2 indexed citations
5.
Ali, Hossam El‐Sheikh, H.F. Monteiro, Kirsten E. Scoggin, et al.. (2024). Characterization of the equine placental microbial population during nocardioform placentitis. Theriogenology. 225. 172–179. 1 indexed citations
6.
Lu, Kristina G., et al.. (2023). Impact of N-acetylcysteine infusion on detection of bacterial endometritis in mares. Journal of Equine Veterinary Science. 125. 104728–104728.
7.
Troedsson, Mats H.T., et al.. (2023). Impact of seminal plasma on the equine endometrial transcriptome. Journal of Equine Veterinary Science. 125. 104752–104752. 1 indexed citations
8.
Fedorka, Carleigh E., Hossam El‐Sheikh Ali, & Mats H.T. Troedsson. (2023). Galectins in Equine Placental Disease. Veterinary Sciences. 10(3). 218–218. 1 indexed citations
9.
Fedorka, Carleigh E. & Mats H.T. Troedsson. (2023). The immune response to equine ascending placentitis: A narrative review. Theriogenology. 203. 11–20. 4 indexed citations
10.
Alghamdi, Abdorrahman S., Carleigh E. Fedorka, Kirsten E. Scoggin, et al.. (2022). Binding of Equine Seminal Lactoferrin/Superoxide Dismutase (SOD-3) Complex Is Biased towards Dead Spermatozoa. Animals. 13(1). 52–52. 4 indexed citations
11.
Fedorka, Carleigh E., Hossam El‐Sheikh Ali, & Mats H.T. Troedsson. (2022). Galectinology of Equine Pregnancy. Animals. 13(1). 129–129. 1 indexed citations
12.
Page, Allen E., Erdal Erol, Kirsten E. Scoggin, et al.. (2021). Development and Use of an Enzyme-Linked Immunosorbent Assay to Determine Temporal Exposure Patterns to Putative Agents of Nocardioform Placentitis. Journal of Equine Veterinary Science. 109. 103826–103826.
13.
Fedorka, Carleigh E., Hossam El‐Sheikh Ali, Kirsten E. Scoggin, et al.. (2021). The imbalance of the Th17/Treg axis following equine ascending placental infection. Journal of Reproductive Immunology. 144. 103268–103268. 15 indexed citations
14.
Ali, Hossam El‐Sheikh, Kirsten E. Scoggin, Rebecca E. Ruby, et al.. (2021). Equine cervical remodeling during placentitis and the prepartum period: a transcriptomic approach. Reproduction. 161(6). 603–621. 7 indexed citations
15.
Fedorka, Carleigh E., Barry A. Ball, Kirsten E. Scoggin, et al.. (2021). Alterations of Circulating Biomarkers During Late Term Pregnancy Complications in the Horse Part II: Steroid Hormones and Alpha-Fetoprotein. Journal of Equine Veterinary Science. 99. 103395–103395. 6 indexed citations
16.
Fedorka, Carleigh E., Kirsten E. Scoggin, Rebecca E. Ruby, Erdal Erol, & Barry A. Ball. (2021). Clinical, pathologic, and epidemiologic features of nocardioform placentitis in the mare. Theriogenology. 171. 155–161. 11 indexed citations
17.
Ali, Hossam El‐Sheikh, Kirsten E. Scoggin, Pouya Dini, et al.. (2020). Kinetics of placenta-specific 8 (PLAC8) in equine placenta during pregnancy and placentitis. Theriogenology. 160. 81–89. 9 indexed citations
18.
Fedorka, Carleigh E., et al.. (2019). Alterations in T cell-related transcripts at the feto-maternal interface throughout equine gestation. Placenta. 89. 78–87. 13 indexed citations
19.
20.
Fedorka, Carleigh E., Kirsten E. Scoggin, E.L. Squires, Barry A. Ball, & Mats H.T. Troedsson. (2016). Expression and localization of cysteine-rich secretory protein-3 (CRISP-3) in the prepubertal and postpubertal male horse. Theriogenology. 87. 187–192. 12 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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