P. Lonergan

26.3k total citations · 2 hit papers
456 papers, 20.3k citations indexed

About

P. Lonergan is a scholar working on Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Genetics. According to data from OpenAlex, P. Lonergan has authored 456 papers receiving a total of 20.3k indexed citations (citations by other indexed papers that have themselves been cited), including 279 papers in Public Health, Environmental and Occupational Health, 277 papers in Agronomy and Crop Science and 174 papers in Genetics. Recurrent topics in P. Lonergan's work include Reproductive Biology and Fertility (278 papers), Reproductive Physiology in Livestock (254 papers) and Genetic and phenotypic traits in livestock (124 papers). P. Lonergan is often cited by papers focused on Reproductive Biology and Fertility (278 papers), Reproductive Physiology in Livestock (254 papers) and Genetic and phenotypic traits in livestock (124 papers). P. Lonergan collaborates with scholars based in Ireland, United States and Spain. P. Lonergan's co-authors include D. Rizos, Trudee Fair, M.P. Boland, Niamh Forde, Alfonso Gutiérrez‐Adán, A.C.O. Evans, F. Ward, Thomas E. Spencer, Pablo Bermejo‐Álvarez and M.P. Boland and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

P. Lonergan

442 papers receiving 19.6k citations

Hit Papers

Consequences of bovine oo... 1994 2026 2004 2015 2002 1994 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
P. Lonergan 13.2k 10.0k 7.4k 6.8k 4.7k 456 20.3k
Peter J. Hansen 6.2k 0.5× 8.6k 0.9× 5.5k 0.7× 2.7k 0.4× 3.4k 0.7× 416 16.7k
Ann Van Soom 6.9k 0.5× 3.3k 0.3× 2.8k 0.4× 5.1k 0.7× 3.1k 0.7× 470 11.7k
Heriberto Rodríguez‐Martínez 10.8k 0.8× 4.5k 0.4× 3.7k 0.5× 11.8k 1.7× 2.1k 0.4× 549 16.8k
Marc‐André Sirard 11.1k 0.8× 3.1k 0.3× 3.4k 0.5× 7.0k 1.0× 4.9k 1.0× 378 14.5k
A.C.O. Evans 4.6k 0.4× 6.3k 0.6× 4.1k 0.6× 2.2k 0.3× 1.1k 0.2× 211 9.7k
R. Webb 5.4k 0.4× 5.9k 0.6× 3.8k 0.5× 2.9k 0.4× 1.6k 0.3× 157 10.0k
Trudee Fair 5.0k 0.4× 2.8k 0.3× 2.3k 0.3× 2.4k 0.4× 2.2k 0.5× 128 7.0k
P. G. Knight 4.3k 0.3× 2.5k 0.3× 2.0k 0.3× 2.3k 0.3× 2.9k 0.6× 152 7.9k
K. Schellander 3.2k 0.2× 1.4k 0.1× 3.3k 0.4× 1.6k 0.2× 4.7k 1.0× 350 9.7k
Milo C. Wiltbank 5.2k 0.4× 15.2k 1.5× 12.1k 1.6× 1.4k 0.2× 713 0.2× 299 17.1k

Countries citing papers authored by P. Lonergan

Since Specialization
Citations

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

Fields of papers citing papers by P. Lonergan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Lonergan

This figure shows the co-authorship network connecting the top 25 collaborators of P. Lonergan. A scholar is included among the top collaborators of P. Lonergan 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 P. Lonergan. P. Lonergan 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.
Sánchez, José María, Beatriz Fernández-Fuertes, Michael McDonald, et al.. (2025). Embryo-Induced Changes in the Protein Profile of Bovine Oviductal Extracellular Vesicles. Molecular & Cellular Proteomics. 24(4). 100935–100935. 2 indexed citations
2.
Sánchez, José María, S.G. Moore, J. Branen, et al.. (2025). Time to presumptive conceptus attachment and subsequent pregnancy loss in pasture-based lactating dairy cows following artificial insemination with conventional or X-sorted semen or embryo transfer. Journal of Dairy Science. 108(5). 5420–5432. 1 indexed citations
3.
Talukder, Anup Kumar, Michael McDonald, John A. Browne, et al.. (2024). Response of bovine endometrium to interferon tau in the presence of lipopolysaccharide. Theriogenology. 229. 169–177. 2 indexed citations
4.
Lonergan, P.. (2024). Embryo transfer: past, present, future – a personal perspective. Animal Reproduction. 21(3). e20240068–e20240068.
5.
Rabaglino, María Belén, José María Sánchez, Michael McDonald, E. O’Callaghan, & P. Lonergan. (2023). Maternal blood transcriptome as a sensor of fetal organ maturation at the end of organogenesis in cattle. Biology of Reproduction. 109(5). 749–758. 2 indexed citations
7.
Rabaglino, María Belén, Dessie Salilew‐Wondim, Dawit Tesfaye, et al.. (2023). Machine‐learning methods applied to integrated transcriptomic data from bovine blastocysts and elongating conceptuses to identify genes predictive of embryonic competence. The FASEB Journal. 37(3). e22809–e22809. 19 indexed citations
8.
Sánchez, José María, S.G. Moore, Michael McDonald, et al.. (2023). Fertility in seasonal-calving pasture-based lactating dairy cows following timed artificial insemination or timed embryo transfer with fresh or frozen in vitro–produced embryos. Journal of Dairy Science. 107(3). 1788–1804. 12 indexed citations
10.
O’Meara, C.M., et al.. (2022). Increasing the frequency of ejaculate collection in young dairy bulls increases semen production and field fertility. Theriogenology. 182. 45–52. 6 indexed citations
11.
Rabaglino, María Belén, A. O’Doherty, Jan Bojsen‐Møller Secher, et al.. (2021). Application of multi-omics data integration and machine learning approaches to identify epigenetic and transcriptomic differences between in vitro and in vivo produced bovine embryos. PLoS ONE. 16(5). e0252096–e0252096. 15 indexed citations
12.
Byrne, C.J., Seán Fair, J.R. Dick, P. Lonergan, & D.A. Kenny. (2021). Dietary supplementation with fish oil and safflower oil, during the finishing period, alters brisket muscle fatty acid profile and n-6/n-3 ratio but not carcass traits of dairy beef bulls. Applied Animal Science. 37(4). 436–444. 2 indexed citations
13.
Kelly, A. K., et al.. (2021). Effect of ovulation synchronization program and season on pregnancy to timed artificial insemination in suckled beef cows. Theriogenology. 172. 223–229. 9 indexed citations
15.
Fernández-Fuertes, Beatriz, et al.. (2019). Species-specific and collection method-dependent differences in endometrial susceptibility to seminal plasma-induced RNA degradation. Scientific Reports. 9(1). 15072–15072. 11 indexed citations
16.
Herlihy, M., et al.. (2019). Associations between postpartum fertility phenotypes and genetic traits in seasonal-calving, pasture-based lactating dairy cows. Journal of Dairy Science. 103(1). 1002–1015. 8 indexed citations
18.
Simintiras, Constantine A., José María Sánchez, Michael McDonald, et al.. (2018). Biochemical characterization of progesterone-induced alterations in bovine uterine fluid amino acid and carbohydrate composition during the conceptus elongation window†. Biology of Reproduction. 100(3). 672–685. 46 indexed citations
19.
Sánchez, José María, Claudia Passaro, Niamh Forde, et al.. (2018). Do differences in the endometrial transcriptome between uterine horns ipsilateral and contralateral to the corpus luteum influence conceptus growth to day 14 in cattle?†. Biology of Reproduction. 100(1). 86–100. 24 indexed citations
20.
Bie, Jessie De, Annelies Verlaet, Irmgard Immig, et al.. (2014). Submitted oral presentations. Advances in Animal Biosciences. 5(2). 247–255. 3 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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