Marco Winters

412 total citations
23 papers, 303 citations indexed

About

Marco Winters is a scholar working on Genetics, Agronomy and Crop Science and Small Animals. According to data from OpenAlex, Marco Winters has authored 23 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 9 papers in Agronomy and Crop Science and 7 papers in Small Animals. Recurrent topics in Marco Winters's work include Genetic and phenotypic traits in livestock (19 papers), Animal Behavior and Welfare Studies (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Marco Winters is often cited by papers focused on Genetic and phenotypic traits in livestock (19 papers), Animal Behavior and Welfare Studies (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Marco Winters collaborates with scholars based in United Kingdom, United States and Netherlands. Marco Winters's co-authors include Raphael Mrode, G. J. T. Swanson, Mehdi Sargolzaei, J.B.C.H.M. van Kaam, D.J. Null, P.M. VanRaden, G.R. Wiggans, John B. Cole, Alessio Valentini and M. Faust and has published in prestigious journals such as Journal of Dairy Science, Veterinary Record and Animal Science.

In The Last Decade

Marco Winters

17 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Winters United Kingdom 6 275 133 91 44 38 23 303
G. Erhardt Germany 6 321 1.2× 99 0.7× 65 0.7× 30 0.7× 48 1.3× 14 375
Edin Hamzić France 7 264 1.0× 48 0.4× 62 0.7× 44 1.0× 91 2.4× 10 353
Guillaume G. Baloche France 5 252 0.9× 136 1.0× 77 0.8× 25 0.6× 74 1.9× 6 320
J. Hickey United States 8 276 1.0× 67 0.5× 91 1.0× 21 0.5× 75 2.0× 14 325
F. Reinhardt Germany 9 392 1.4× 161 1.2× 93 1.0× 83 1.9× 48 1.3× 17 422
F. Schiavini Italy 11 272 1.0× 87 0.7× 83 0.9× 62 1.4× 54 1.4× 21 325
Sheikh Firdous Ahmad India 9 185 0.7× 78 0.6× 25 0.3× 48 1.1× 53 1.4× 51 254
G. Averdunk Germany 6 239 0.9× 83 0.6× 65 0.7× 37 0.8× 41 1.1× 22 263
A.C. Sørensen Denmark 12 364 1.3× 138 1.0× 107 1.2× 12 0.3× 66 1.7× 23 408
Bayode O. Makanjuola Canada 8 267 1.0× 92 0.7× 76 0.8× 42 1.0× 79 2.1× 17 327

Countries citing papers authored by Marco Winters

Since Specialization
Citations

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

Fields of papers citing papers by Marco Winters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Winters

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Winters. A scholar is included among the top collaborators of Marco Winters 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 Marco Winters. Marco Winters 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-Molano, Enrique, Marco Winters, M.P. Coffey, et al.. (2025). Detection of genetic variability in dairy cattle infectivity for bovine tuberculosis. Journal of Dairy Science. 108(4). 3835–3849.
2.
Griffiths, Bethany E., Marco Winters, Bingjie Li, et al.. (2024). Association between a genetic index for digital dermatitis resistance and the presence of digital dermatitis, heel horn erosion, and interdigital hyperplasia in Holstein cows. Journal of Dairy Science. 107(7). 4915–4925. 1 indexed citations
3.
Berry, D.P., et al.. (2024). Genetic selection to reduce lameness in dairy cattle. Livestock. 29(1). 22–28.
4.
Winters, Marco, M.P. Coffey, & Raphael Mrode. (2024). European Dairy Cattle Evaluations and International Use of Genomic Data. Veterinary Clinics of North America Food Animal Practice. 40(3). 423–434.
5.
Sánchez-Molano, Enrique, et al.. (2023). Detection of genetic variability in dairy cattle infectivity for bovine tuberculosis. Animal - science proceedings. 14(2). 416–417.
6.
Sánchez-Molano, Enrique, et al.. (2022). 700. Detection of genetic variability in cattle infectivity for bovine tuberculosis (bTB). 2887–2890. 1 indexed citations
7.
Winters, Marco. (2021). Dairy genetics and livestock breeding. In Practice. 43(4). 206–216. 1 indexed citations
8.
Li, Bingjie, et al.. (2021). Genomic Evaluation for Feed Advantage–Towards Feed Efficient Cows in UK Dairy Cattle. 125–130. 4 indexed citations
9.
Banos, Georgios, Marco Winters, Raphael Mrode, et al.. (2016). Genetic evaluation for bovine tuberculosis resistance in dairy cattle. Journal of Dairy Science. 100(2). 1272–1281. 32 indexed citations
10.
Veerkamp, R.F., J.E. Pryce, D.M. Spurlock, et al.. (2013). Selection on feed intake or feed efficiency: A position paper from gDMI breeding goal discussions. Socio-Environmental Systems Modeling. 2013(47). 15–22. 14 indexed citations
11.
Mrode, Raphael, Kirsty Moore, Marco Winters, & M.P. Coffey. (2012). Evaluating the impact of including residual polygenic effects in dairy genomic evaluations using Bayesian methods.. Bulletin - International Bull Evaluation Service/Interbull bulletin. 109–114. 1 indexed citations
12.
VanRaden, P.M., D.J. Null, Mehdi Sargolzaei, et al.. (2012). Genomic imputation and evaluation using high-density Holstein genotypes. Journal of Dairy Science. 96(1). 668–678. 160 indexed citations
13.
Amer, P.R., et al.. (2011). Sources of benefits from genetic improvement in the UK dairy industry and their impacts on producers and consumers. Bulletin - International Bull Evaluation Service/Interbull bulletin. 1 indexed citations
14.
Winters, Marco. (2007). Genetics: Breeding to improve dairy cow fertility. 12(4). 50–52. 1 indexed citations
15.
Winters, Marco. (2007). Genetics: Breeding dairy cows for a longer lifespan. 12(6). 46–47.
16.
Mrode, Raphael, G. J. T. Swanson, & Marco Winters. (1998). Genetic parameters and evaluations for somatic cell counts and its relationship with production and type traits in some dairy breeds in the United Kingdom. Animal Science. 66(3). 569–576. 46 indexed citations
17.
Mrode, Raphael, G. J. T. Swanson, & Marco Winters. (1996). Genetic Evaluations for Somatic Cell Counts (SCC) in United Kingdom Dairy Cattle. Proceedings of the British Society of Animal Science. 1996. 116–116.
18.
Mrode, Raphael, G. J. T. Swanson, & Marco Winters. (1996). Genetic Evaluations for Somatic Cell Counts (SCC) in United Kingdom Dairy Cattle. Proceedings of the British Society of Animal Science. 1996. 116–116. 9 indexed citations
19.
Mrode, Raphael, G. J. T. Swanson, & Marco Winters. (1996). Method and effects of incorporating foreign information into United Kingdom production evaluations. Animal Science. 63(3). 373–379. 3 indexed citations
20.
Mrode, Raphael, G. J. T. Swanson, & Marco Winters. (1995). Genetic parameters for somatic cell count for three dairy breeds in the united kingdom (uk). Proceedings of the British Society of Animal Science. 1995. 128–128. 4 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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