S. Snijders

516 total citations
14 papers, 406 citations indexed

About

S. Snijders is a scholar working on Agronomy and Crop Science, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, S. Snijders has authored 14 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Agronomy and Crop Science, 8 papers in Genetics and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in S. Snijders's work include Reproductive Physiology in Livestock (12 papers), Genetic and phenotypic traits in livestock (8 papers) and Ruminant Nutrition and Digestive Physiology (7 papers). S. Snijders is often cited by papers focused on Reproductive Physiology in Livestock (12 papers), Genetic and phenotypic traits in livestock (8 papers) and Ruminant Nutrition and Digestive Physiology (7 papers). S. Snijders collaborates with scholars based in Ireland, United Kingdom and New Zealand. S. Snijders's co-authors include P. Dillon, M.P. Boland, D. O’Callaghan, K.J. O’Farrell, David P. Ryan, John F. Mee, H. Yaakub, M. Rath, M.G. Diskin and Declan OʼCallaghan and has published in prestigious journals such as Journal of Animal Science, Theriogenology and Animal Reproduction Science.

In The Last Decade

S. Snijders

13 papers receiving 359 citations

Peers

S. Snijders
F. Samartzi Greece
Louis A. Guilbault Canada
F.E. Gebbie United Kingdom
Cássia Maria Barroso Orlandi Brazil
Eduardo Kenji Nunes Arashiro Brazil
Chainarong Lohachit Thailand
Fernando López‐Gatius Spain
A. A. Simplício Brazil
Mara Iolanda Batistella Rubin Brazil
Aly Karen Egypt
F. Samartzi Greece
S. Snijders
Citations per year, relative to S. Snijders S. Snijders (= 1×) peers F. Samartzi

Countries citing papers authored by S. Snijders

Since Specialization
Citations

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

Fields of papers citing papers by S. Snijders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Snijders

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

All Works

14 of 14 papers shown
1.
Leonard, Nola, et al.. (2004). Prevalence of antibodies to Leptospira interrogans serovar hardjoin bulk tank milk from unvaccinated irish dairy herds. Irish Veterinary Journal. 57(4). 226–31. 24 indexed citations
2.
Dillon, P., S. Snijders, F. Buckley, et al.. (2003). A comparison of different dairy cow breeds on a seasonal grass-based system of milk production. Livestock Production Science. 83(1). 35–42. 50 indexed citations
3.
O’Callaghan, D., et al.. (2001). Relationships between nutrition and fertility in dairy cattle. BSAP Occasional Publication. 26(1). 147–159. 15 indexed citations
4.
Snijders, S., P. Dillon, K.J. O’Farrell, et al.. (2001). Genetic merit for milk production and reproductive success in dairy cows. Animal Reproduction Science. 65(1-2). 17–31. 73 indexed citations
5.
Gath, Vivian, et al.. (2001). Effect of plasma urea concentration at the time of insemination or embryo transfer on pregnancy rate in cattle. BSAP Occasional Publication. 26(2). 367–370. 1 indexed citations
6.
Snijders, S., et al.. (2001). Relationship between genetic merit, milk production, body condition, blood parameters and reproductive performance of dairy cows. BSAP Occasional Publication. 26(2). 499–502. 3 indexed citations
7.
O’Callaghan, D., et al.. (2000). Recent developments in the effect of nutrition on fertility in dairy cows.. 32(8). 9–19. 3 indexed citations
8.
Snijders, S., P. Dillon, D. O’Callaghan, & M.P. Boland. (2000). Effect of genetic merit, milk yield, body condition and lactation number on in vitro oocyte development in dairy cows. Theriogenology. 53(4). 981–989. 132 indexed citations
9.
Snijders, S., et al.. (1998). Effect of genetic merit on postpartum follicular development, milk production, body weight and, insulin and glucose levels in dairy cows. Proceedings of the British Society of Animal Science. 1998. 188–188. 3 indexed citations
10.
Ryan, David P., S. Snijders, H. Yaakub, & K.J. O’Farrell. (1995). An evaluation of estrus synchronization programs in reproductive management of dairy herds.. Journal of Animal Science. 73(12). 3687–3687. 51 indexed citations
11.
Ryan, David P., et al.. (1995). Effect of estradiol subsequent to induced luteolysis on development of the ovulatory follicle and interval to estrus and ovulation. Theriogenology. 43(1). 310–310. 10 indexed citations
12.
13.
14.
Ryan, David P., et al.. (1994). Intrauterine transfer of bovine trophoblastic vesicles during dioestrus after breeding to increase pregnancy rates in dairy cows. Theriogenology. 41(1). 287–287. 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.

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