Juan F. Medrano

14.6k total citations · 1 hit paper
217 papers, 7.6k citations indexed

About

Juan F. Medrano is a scholar working on Genetics, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Juan F. Medrano has authored 217 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Genetics, 72 papers in Molecular Biology and 50 papers in Agronomy and Crop Science. Recurrent topics in Juan F. Medrano's work include Genetic and phenotypic traits in livestock (73 papers), Genetic Mapping and Diversity in Plants and Animals (56 papers) and Animal Genetics and Reproduction (45 papers). Juan F. Medrano is often cited by papers focused on Genetic and phenotypic traits in livestock (73 papers), Genetic Mapping and Diversity in Plants and Animals (56 papers) and Animal Genetics and Reproduction (45 papers). Juan F. Medrano collaborates with scholars based in United States, Canada and Spain. Juan F. Medrano's co-authors include Gonzalo Rincón, Alma Islas‐Trejo, Alison L. Van Eenennaam, Ángela Cánovas, Saumya Wickramasinghe, Simon Horvat, Charles R. Farber, P. M. Corva, J. D. Murray and G.B. Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Juan F. Medrano

210 papers receiving 7.3k citations

Hit Papers

Real-Time PCR for mRNA Quantitation 2005 2026 2012 2019 2005 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan F. Medrano United States 44 3.7k 3.1k 1.3k 895 608 217 7.6k
J. L. Williams United Kingdom 50 4.2k 1.1× 2.2k 0.7× 1.3k 1.0× 784 0.9× 971 1.6× 306 8.6k
Klaus Wimmers Germany 39 3.2k 0.9× 2.0k 0.7× 611 0.5× 892 1.0× 545 0.9× 397 6.8k
Ruedi Fries Germany 49 6.4k 1.7× 3.1k 1.0× 894 0.7× 886 1.0× 1.8k 2.9× 232 9.2k
Alan Archibald United Kingdom 48 4.9k 1.3× 3.1k 1.0× 671 0.5× 914 1.0× 893 1.5× 214 7.9k
Luiz Lehmann Coutinho Brazil 43 2.9k 0.8× 1.9k 0.6× 860 0.7× 1.0k 1.2× 649 1.1× 308 5.9k
James E. Womack United States 48 5.2k 1.4× 3.2k 1.0× 833 0.7× 656 0.7× 1.8k 3.0× 325 8.6k
Christian Bendixen Denmark 41 2.2k 0.6× 3.5k 1.1× 591 0.5× 684 0.8× 999 1.6× 156 6.3k
Helmut Blum Germany 43 1.7k 0.5× 5.2k 1.7× 1.3k 1.0× 617 0.7× 1.3k 2.1× 149 9.9k
John C. McEwan New Zealand 46 5.0k 1.3× 1.5k 0.5× 1.8k 1.4× 809 0.9× 550 0.9× 225 7.3k
Christophe Klopp France 38 2.0k 0.5× 3.1k 1.0× 445 0.4× 603 0.7× 1.4k 2.3× 169 7.0k

Countries citing papers authored by Juan F. Medrano

Since Specialization
Citations

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

Fields of papers citing papers by Juan F. Medrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan F. Medrano. 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 Juan F. Medrano. The network helps show where Juan F. Medrano may publish in the future.

Co-authorship network of co-authors of Juan F. Medrano

This figure shows the co-authorship network connecting the top 25 collaborators of Juan F. Medrano. A scholar is included among the top collaborators of Juan F. Medrano 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 Juan F. Medrano. Juan F. Medrano 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.
Hagen, Darren E., Bret R. McNabb, William M. Muir, et al.. (2025). Efficient Generation of SOCS2 Knock-Out Sheep by Electroporation of CRISPR-Cas9 Ribonucleoprotein Complex with Dual-sgRNAs. The CRISPR Journal. 8(1). 13–25. 1 indexed citations
3.
Medrano, Juan F., Dario Cantù, Andrea Minio, et al.. (2024). De novo whole-genome assembly and annotation of Coffea arabica var. Geisha, a high-quality coffee variety from the primary origin of coffee. G3 Genes Genomes Genetics. 15(1). 1 indexed citations
4.
5.
Rosen, Benjamin D., Derek M. Bickhart, Robert D. Schnabel, et al.. (2018). Modernizing the Bovine Reference Genome Assembly. Proceedings of the World Congress on Genetics Applied to Livestock Production. 802. 14 indexed citations
6.
DeAtley, K. L., Michelle L. Colgrave, Ángela Cánovas, et al.. (2018). Neuropeptidome of the Hypothalamus and Pituitary Gland of Indicine × Taurine Heifers: Evidence of Differential Neuropeptide Processing in the Pituitary Gland before and after Puberty. Journal of Proteome Research. 17(5). 1852–1865. 15 indexed citations
7.
Cánovas, Ángela, et al.. (2018). Cellular Immuno-Genomics: A Novel Approach to Examine Genetic Regulation of Disease Resistance in Cattle. Proceedings of the World Congress on Genetics Applied to Livestock Production. 738. 1 indexed citations
8.
Medrano, Juan F.. (2014). RNA Sequencing for the Analysis of Complex Traits in Milk: Detection of Bacteria. 1 indexed citations
9.
Ulloa, Pilar E., Andrea Peña, Cristián Araneda, et al.. (2013). Growth Response and Expression of Muscle Growth–Related Candidate Genes in Adult Zebrafish Fed Plant and Fishmeal Protein–Based Diets. Zebrafish. 10(1). 99–109. 38 indexed citations
10.
Rincón, Gonzalo, et al.. (2012). Identificación de un polimorfismo del gen PAPP-A2 asociado a la fertilidad en vaquillas Romosinuano criadas en subtrópico. SHILAP Revista de lepidopterología. 4 indexed citations
11.
Helwig, Michael, Sang‐Nam Lee, Jae Ryoung Hwang, et al.. (2011). Dynamic Modulation of Prohormone Convertase 2 (PC2)-mediated Precursor Processing by 7B2 Protein. Journal of Biological Chemistry. 286(49). 42504–42513. 12 indexed citations
12.
Medrano, Juan F., Abbas Ahmadi, & J. Casellas. (2010). Dairy Cattle Breeding Simulation Program: A simulation program to teach animal breeding principles and practices. Journal of Dairy Science. 93(6). 2816–2826. 3 indexed citations
13.
Garnett, I., et al.. (2007). Valuation of Milk Composition and Genotype in Cheddar Cheese Production Using an Optimization Model of Cheese and Whey Production. Journal of Dairy Science. 90(2). 616–629. 5 indexed citations
14.
Morimoto, Kazuhiro, Alison L. Van Eenennaam, E.J. DePeters, & Juan F. Medrano. (2005). Hot Topic: Endogenous Production of n-3 and n-6 Fatty Acids in Mammalian Cells. Journal of Dairy Science. 88(3). 1142–1146. 20 indexed citations
15.
Dovč, Peter, et al.. (1997). Polymorphisms of Bovine β-Lactoglobulin Promoter and Differences in the Binding Affinity of Activator Protein-2 Transcription Factor. Journal of Dairy Science. 80(7). 1389–1397. 58 indexed citations
16.
Gutiérrez‐Adán, Alfonso, et al.. (1996). Relationship between stage of development and sex of bovine IVM-IVF embryos cultured in vitro versus in the sheep oviduct. Theriogenology. 46(3). 515–525. 65 indexed citations
17.
Ron, M., et al.. (1994). Determination of Effects of Milk Protein Genotype on Production Traits of Israeli Holsteins. Journal of Dairy Science. 77(4). 1106–1113. 39 indexed citations
18.
Medrano, Juan F., et al.. (1994). Identification of RAPD genetic markers in sheep.. Proceedings of the World Congress on Genetics applied to Livestock Production. 133–136. 9 indexed citations
19.
Law, Andrew J. R., et al.. (1991). Separation of β-Casein A1, A2, and B Using Cation-Exchange Fast Protein Liquid Chromatography. Journal of Dairy Science. 74(10). 3308–3313. 13 indexed citations
20.
Brown, R. J., et al.. (1990). Quantification of casein genetic variants by RP-HPLC, PAGE, and amino acid analysis.. Journal of Dairy Science. 73. 1 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

Rankless by CCL
2026