J. A. Small

1.3k total citations
42 papers, 1.0k citations indexed

About

J. A. Small is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, J. A. Small has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Agronomy and Crop Science, 22 papers in Genetics and 9 papers in Animal Science and Zoology. Recurrent topics in J. A. Small's work include Reproductive Physiology in Livestock (34 papers), Genetic and phenotypic traits in livestock (22 papers) and Ruminant Nutrition and Digestive Physiology (22 papers). J. A. Small is often cited by papers focused on Reproductive Physiology in Livestock (34 papers), Genetic and phenotypic traits in livestock (22 papers) and Ruminant Nutrition and Digestive Physiology (22 papers). J. A. Small collaborates with scholars based in Canada, United States and Brazil. J. A. Small's co-authors include John P. Kastelic, R.J. Mapletoft, M.G. Colazo, A. D. Kennedy, D.J. Ambrose, H.V. Petit, R. Corbett, M. F. Martínez, W. P. McCaughey and K. M. Wittenberg and has published in prestigious journals such as Journal of Dairy Science, Biology of Reproduction and Animal Feed Science and Technology.

In The Last Decade

J. A. Small

42 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. A. Small Canada 16 775 501 245 175 99 42 1.0k
J. Patton Ireland 18 1.0k 1.3× 653 1.3× 359 1.5× 114 0.7× 226 2.3× 26 1.5k
R. N. Funston United States 24 1.7k 2.2× 1.1k 2.2× 447 1.8× 218 1.2× 57 0.6× 80 2.2k
M.L. Rhoads United States 16 657 0.8× 335 0.7× 936 3.8× 124 0.7× 165 1.7× 47 1.4k
F.J. Mulligan Ireland 21 1.4k 1.8× 753 1.5× 348 1.4× 51 0.3× 147 1.5× 76 1.7k
Richard J. Rasby United States 15 572 0.7× 423 0.8× 296 1.2× 37 0.2× 75 0.8× 53 824
Marcelo Teixeira Rodrigues Brazil 18 557 0.7× 465 0.9× 253 1.0× 76 0.4× 53 0.5× 99 1.1k
D.W. Webb United States 9 710 0.9× 483 1.0× 326 1.3× 52 0.3× 58 0.6× 16 919
P.M. Crump United States 21 1.1k 1.4× 601 1.2× 389 1.6× 33 0.2× 68 0.7× 39 1.4k
Abelardo Correa‐Calderón Mexico 17 440 0.6× 320 0.6× 672 2.7× 107 0.6× 90 0.9× 68 964
H.H. Head United States 26 1.9k 2.5× 1.1k 2.1× 765 3.1× 97 0.6× 94 0.9× 72 2.6k

Countries citing papers authored by J. A. Small

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Small

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. Small. 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 J. A. Small. The network helps show where J. A. Small may publish in the future.

Co-authorship network of co-authors of J. A. Small

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Small. A scholar is included among the top collaborators of J. A. Small 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 J. A. Small. J. A. Small 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.
Pfeifer, Luiz Francisco Machado, R.J. Mapletoft, John P. Kastelic, et al.. (2009). Effects of low versus physiologic plasma progesterone concentrations on ovarian follicular development and fertility in beef cattle. Theriogenology. 72(9). 1237–1250. 70 indexed citations
2.
Small, J. A., M.G. Colazo, John P. Kastelic, & R.J. Mapletoft. (2008). Effects of progesterone presynchronization and eCG on pregnancy rates to GnRH-based, timed-AI in beef cattle. Theriogenology. 71(4). 698–706. 74 indexed citations
3.
Small, J. A., et al.. (2008). Core body temperature monitoring with passive transponder boluses in beef heifers. Canadian Journal of Animal Science. 88(2). 225–235. 19 indexed citations
4.
Colazo, M.G., D.J. Ambrose, John P. Kastelic, & J. A. Small. (2008). Comparison of 2 enzyme immunoassays and a radioimmunoassay for measurement of progesterone concentrations in bovine plasma, skim milk, and whole milk.. PubMed. 72(1). 32–6. 31 indexed citations
5.
Ambrose, D.J., et al.. (2006). Lower Pregnancy Losses in Lactating Dairy Cows Fed a Diet Enriched in α-Linolenic Acid. Journal of Dairy Science. 89(8). 3066–3074. 177 indexed citations
6.
Colazo, M.G., John P. Kastelic, Hannah M. Davis, et al.. (2006). Effects of plasma progesterone concentrations on LH release and ovulation in beef cattle given GnRH. Domestic Animal Endocrinology. 34(1). 109–117. 78 indexed citations
7.
Colazo, M.G., et al.. (2006). 11 EFFECTS OF CIDR-BASED PRESYNCHRONIZATION AND eCG ON FERTILITY FOR A GnRH-BASED TIMED-AI PROTOCOL IN BEEF CATTLE. Reproduction Fertility and Development. 18(2). 114–114. 3 indexed citations
8.
Colazo, M.G., John P. Kastelic, R. C. M. Jaime, et al.. (2005). Resynchronization of previously timed-inseminated beef heifers with progestins. Theriogenology. 65(3). 557–572. 35 indexed citations
9.
Colazo, M.G., et al.. (2004). Effect of estradiol valerate on ovarian follicle dynamics and superovulatory response in progestin-treated cattle. Theriogenology. 63(5). 1454–1468. 32 indexed citations
10.
Colazo, M.G., et al.. (2004). 11 THE EFFECT OF PRESYNCHRONIZATION ON PREGNANCY RATE TO FIXED-TIME AI IN BEEF HEIFERS SUBJECTED TO A COSYNCH PROTOCOL. Reproduction Fertility and Development. 16(2). 128–128. 10 indexed citations
11.
Boadi, D. A., K. M. Wittenberg, Susan Scott, et al.. (2004). Effect of low and high forage diet on enteric and manure pack greenhouse gas emissions from a feedlot. Canadian Journal of Animal Science. 84(3). 445–453. 66 indexed citations
13.
Mapletoft, R.J., et al.. (2004). 15 EFFECT OF DOSE OF ESTRADIOL VALERATE ON OVARIAN FOLLICULAR DYNAMICS IN CIDR-TREATED BEEF COWS. Reproduction Fertility and Development. 16(2). 130–130. 4 indexed citations
14.
Kastelic, John P., et al.. (2004). 14 OVARIAN FOLLICULAR DYNAMICS IN COWS TREATED WITH A CIDR, ESTRADIOL AND PROGESTERONE LATE IN THE ESTROUS CYCLE. Reproduction Fertility and Development. 16(2). 129–130. 12 indexed citations
15.
Mapletoft, R.J., et al.. (2004). 18 STRATEGIES TO IMPROVE FERTILITY WITH COSYNCH-CIDR PROTOCOLS IN BEEF CATTLE. Reproduction Fertility and Development. 17(2). 159–159. 2 indexed citations
16.
Colazo, M.G., John P. Kastelic, J. A. Small, & R.J. Mapletoft. (2004). Follicle dynamics, estrus and ovulation in CIDR-treated cows given ECP, GnRH, or progesterone during diestrus. 1 indexed citations
17.
Ryan, Kim, et al.. (2002). Implantation-Associated Changes in Bovine Uterine Expression of Integrins and Extracellular Matrix1. Biology of Reproduction. 66(5). 1430–1436. 71 indexed citations
18.
Small, J. A. & W. P. McCaughey. (1999). Beef cattle management in Manitoba. Canadian Journal of Animal Science. 79(4). 539–544. 16 indexed citations
19.
Kennedy, A. D., et al.. (1998). Measurement of vaginal temperature by radiotelemetry for the prediction of estrus in beef cows. Theriogenology. 49(8). 1437–1449. 75 indexed citations
20.
Small, J. A., et al.. (1977). Survival of streptococci and coliforms of bovine faecal origin in drainage water and soil stored at different temperatures. New Zealand Journal of Agricultural Research. 20(1). 13–18. 8 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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