Martín Pol

659 total citations
10 papers, 505 citations indexed

About

Martín Pol is a scholar working on Agronomy and Crop Science, Small Animals and Microbiology. According to data from OpenAlex, Martín Pol has authored 10 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Agronomy and Crop Science, 3 papers in Small Animals and 3 papers in Microbiology. Recurrent topics in Martín Pol's work include Milk Quality and Mastitis in Dairy Cows (5 papers), Probiotics and Fermented Foods (3 papers) and Microbial infections and disease research (3 papers). Martín Pol is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (5 papers), Probiotics and Fermented Foods (3 papers) and Microbial infections and disease research (3 papers). Martín Pol collaborates with scholars based in Argentina, United States and Canada. Martín Pol's co-authors include P.L. Ruegg, Arthur W. English, Gail Schwartz, Jane Eason, José Giraudo, Leonardo E. Bussmann, Luis F. Calvinho, Cecilia Camussone, Liliana Odierno and Marcelo Signorini and has published in prestigious journals such as Journal of Dairy Science, Preventive Veterinary Medicine and Journal of Dairy Research.

In The Last Decade

Martín Pol

9 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martín Pol Argentina 8 336 201 140 118 99 10 505
Piret Kalmus Estonia 13 287 0.9× 190 0.9× 116 0.8× 46 0.4× 99 1.0× 19 471
Leane Oliveira United States 7 394 1.2× 243 1.2× 125 0.9× 49 0.4× 97 1.0× 7 489
C.H. Ray United States 10 342 1.0× 172 0.9× 144 1.0× 50 0.4× 67 0.7× 20 463
L. Tikofsky United States 8 331 1.0× 238 1.2× 140 1.0× 36 0.3× 67 0.7× 10 440
Leena Suojala Finland 9 380 1.1× 259 1.3× 110 0.8× 64 0.5× 76 0.8× 10 480
Inge-Marié Petzer South Africa 12 420 1.3× 323 1.6× 92 0.7× 45 0.4× 141 1.4× 47 628
Nicole Wente Denmark 15 450 1.3× 313 1.6× 145 1.0× 74 0.6× 126 1.3× 44 586
H. Lassa Poland 13 372 1.1× 262 1.3× 106 0.8× 52 0.4× 147 1.5× 33 551
W. Schaeren Switzerland 12 333 1.0× 245 1.2× 103 0.7× 42 0.4× 120 1.2× 17 557
D. Léger Canada 3 187 0.6× 163 0.8× 92 0.7× 51 0.4× 66 0.7× 6 369

Countries citing papers authored by Martín Pol

Since Specialization
Citations

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

Fields of papers citing papers by Martín Pol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martín Pol

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

All Works

10 of 10 papers shown
1.
Castillo, A.R., Martín Pol, Mónica Gaggiotti, Julio A. Di Rienzo, & Damiano Cavallini. (2025). Effect of a feed additive based on a mix of condense and hydrolysable tannins (ByPro®) on lactating dairy cows milk production performance. Tropical Animal Health and Production. 57(8). 476–476.
3.
Pol, Martín, et al.. (2017). Identificación de especies de Mycoplasma y de Ureaplasma diversum en rodeos lecheros de Argentina. Revista Argentina de Microbiología. 50(1). 31–35. 7 indexed citations
4.
Renna, María Sol, Marcelo Signorini, Cecilia Camussone, et al.. (2015). Comparison of phenotypic tests for detecting penicillin G resistance with presence ofblaZgene inStaphylococcus aureusisolated from bovine intramammary infections. Journal of Dairy Research. 82(3). 317–321. 13 indexed citations
5.
Pol, Martín, et al.. (2015). Quantification of antimicrobial usage in dairy cows and preweaned calves in Argentina. Preventive Veterinary Medicine. 122(3). 273–279. 52 indexed citations
6.
Pol, Martín, et al.. (2014). Detection of Mycoplasma canadense and Mycoplasma californicum in dairy cattle from Argentina. Revista Argentina de Microbiología. 46(2). 119–121. 5 indexed citations
7.
Pol, Martín, et al.. (2013). Milk lactoferrin in heifers: Influence of health status and stage of lactation. Journal of Dairy Science. 96(8). 4977–4982. 9 indexed citations
8.
Pol, Martín & P.L. Ruegg. (2007). Relationship Between Antimicrobial Drug Usage and Antimicrobial Susceptibility of Gram-Positive Mastitis Pathogens. Journal of Dairy Science. 90(1). 262–273. 132 indexed citations
9.
Pol, Martín & P.L. Ruegg. (2007). Treatment Practices and Quantification of Antimicrobial Drug Usage in Conventional and Organic Dairy Farms in Wisconsin. Journal of Dairy Science. 90(1). 249–261. 252 indexed citations
10.
English, Arthur W., et al.. (1998). Different phenotypes among slow/beta myosin heavy chain-containing fibres of rabbit masseter muscle: a novel type of diversity in adult muscle.. Journal of Muscle Research and Cell Motility. 19(5). 525–535. 27 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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