P. M. Corva

742 total citations
42 papers, 572 citations indexed

About

P. M. Corva is a scholar working on Genetics, Animal Science and Zoology and Cell Biology. According to data from OpenAlex, P. M. Corva has authored 42 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 17 papers in Animal Science and Zoology and 8 papers in Cell Biology. Recurrent topics in P. M. Corva's work include Genetic and phenotypic traits in livestock (19 papers), Meat and Animal Product Quality (16 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). P. M. Corva is often cited by papers focused on Genetic and phenotypic traits in livestock (19 papers), Meat and Animal Product Quality (16 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). P. M. Corva collaborates with scholars based in Argentina, United States and Canada. P. M. Corva's co-authors include Juan F. Medrano, C. A. Mezzadra, E. L. Villarreal, L. M. Melucci, Simon Horvat, E. Paván, Guillermo Giovambattista, Marìa Verònica Ripoli, Charles R. Farber and F.J. Santini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Genetics and Meat Science.

In The Last Decade

P. M. Corva

41 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. M. Corva Argentina	16	350	230	90	87	72	42	572
Carmen Rodríguez Spain	14	569 1.6×	199 0.9×	141 1.6×	85 1.0×	80 1.1×	18	755
L. M. Melucci Argentina	12	277 0.8×	216 0.9×	66 0.7×	58 0.7×	30 0.4×	29	423
E. Scotti Italy	20	571 1.6×	352 1.5×	260 2.9×	141 1.6×	91 1.3×	41	905
M. Tyra Poland	16	387 1.1×	453 2.0×	176 2.0×	34 0.4×	80 1.1×	88	769
J. Kurył Poland	14	419 1.2×	397 1.7×	237 2.6×	117 1.3×	51 0.7×	90	756
Jingting Shu China	14	242 0.7×	299 1.3×	239 2.7×	44 0.5×	70 1.0×	67	594
Pierre P. Sellier France	10	330 0.9×	452 2.0×	97 1.1×	21 0.2×	99 1.4×	11	641
R D Green United States	10	503 1.4×	447 1.9×	187 2.1×	83 1.0×	36 0.5×	11	774
H. Bartenschlager Germany	21	836 2.4×	270 1.2×	298 3.3×	39 0.4×	61 0.8×	57	1.0k
Larissa Fernanda Simielli Fonseca Brazil	16	366 1.0×	147 0.6×	148 1.6×	20 0.2×	34 0.5×	43	518

Countries citing papers authored by P. M. Corva

Since Specialization

Citations

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

Fields of papers citing papers by P. M. Corva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. M. Corva

This figure shows the co-authorship network connecting the top 25 collaborators of P. M. Corva. A scholar is included among the top collaborators of P. M. Corva 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. M. Corva. P. M. Corva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Moore, D.P., et al.. (2024). The role of genetic variability of the host on the resistance to Neospora caninum infection in cattle. Animal Genetics. 55(3). 304–318. 1 indexed citations

Dallard, Bibiana E., Ezequiel Sosa, Antonio Pardo, et al.. (2024). Breed variability in the cellular mediated immune response to experimental Neospora caninum infection in heifers. Veterinary Immunology and Immunopathology. 276. 110828–110828.

Rubio, Natalia, et al.. (2023). An insight into population structure and genetic progress of Argentinean Holstein cattle. Journal of Animal Breeding and Genetics. 140(4). 376–389. 1 indexed citations

Hecker, Yanina P., Karina Mariela Cirone, Silvina Elizabeth Wilkowsky, et al.. (2020). Delayed-type hypersensitivity skin test against Neospora caninum in heifers with undetectable specific antibodies. Comparative Immunology Microbiology and Infectious Diseases. 72. 101522–101522. 2 indexed citations

Corva, P. M., et al.. (2020). Expression of calpastatin isoforms in three skeletal muscles of Angus steers and their association with fiber type composition and proteolytic potential. Meat Science. 171. 108267–108267. 9 indexed citations

Costa, Mônica Regina Farias, et al.. (2020). Analysis of Genetic Variability in the Argentine Polo Horse With a Panel of Microsatellite Markers. Journal of Equine Veterinary Science. 96. 103320–103320. 3 indexed citations

Hecker, Yanina P., Germán Cantón, María Leunda, et al.. (2018). Delayed type hypersensitivity induced by intradermal inoculation of a Neospora caninum tachyzoite antigen in previously exposed cattle. Veterinary Immunology and Immunopathology. 207. 31–35. 4 indexed citations

Corva, P. M., et al.. (2013). Asociación de dos marcadores del gen de la calpastatina con variables productivas de novillos Brangus engordados en pasturas. 33(1). 21–29. 1 indexed citations

Corva, P. M., et al.. (2013). Detection of polymorphisms in the PMEL17 gene in beef cattle of Argentina.. 33(1). 31–41. 1 indexed citations

10.

Melucci, L. M., E. L. Villarreal, G. Grigioni, et al.. (2012). Genetic and management factors affecting beef quality in grazing Hereford steers. Meat Science. 92(4). 768–774. 18 indexed citations

11.

Corva, P. M., et al.. (2011). Association between molecular markers for beef tenderness and growth traits in Argentinian Angus cattle. Animal Genetics. 42(3). 329–332. 18 indexed citations

12.

Corva, P. M., Gonzalo Rincón, Juan F. Medrano, et al.. (2011). Genetic markers of body composition and carcass quality in grazing Brangus steers. Genetics and Molecular Research. 10(4). 3146–3156. 11 indexed citations

13.

Corva, P. M., et al.. (2009). Role of calpastatin in the variability of beef tenderness. 20(1). 0–0. 3 indexed citations

14.

Corva, P. M., et al.. (2009). Rol de la calpastatina en la variabilidad de la terneza de la carne bovina. 20(1). 0–0. 7 indexed citations

15.

Farber, Charles R., P. M. Corva, & Juan F. Medrano. (2006). Genome-wide isolation of growth and obesity QTL using mouse speed congenic strains. BMC Genomics. 7(1). 102–102. 29 indexed citations

16.

Ripoli, Marìa Verònica, P. M. Corva, & Guillermo Giovambattista. (2006). Analysis of a polymorphism in the DGAT1 gene in 14 cattle breeds through PCR-SSCP methods. Research in Veterinary Science. 80(3). 287–290. 26 indexed citations

17.

Corva, P. M., et al.. (2005). Genetic and environmental factors influencing beef tenderness. TSpace. 12(2). 1 indexed citations

18.

Corva, P. M., et al.. (2004). Diet effects on female reproduction in high growth (hg/hg) mice that are deficient in the Socs-2 gene. annales de biologie animale biochimie biophysique. 44(4). 303–312. 7 indexed citations

19.

Ripoli, Marìa Verònica, et al.. (2003). Asociación entre cinco genes candidatos y producción de leche en la raza criolla saavedreña. Archivos de Zootecnia. 52(197). 89–92. 8 indexed citations

20.

Corva, P. M. & Juan F. Medrano. (2001). Quantitative Trait Loci (QTLs) mapping for growth traits in the mouse: A review. Genetics Selection Evolution. 33(2). 105–32. 44 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.

Explore authors with similar magnitude of impact