S.M. Dunn

1.3k total citations
20 papers, 1.0k citations indexed

About

S.M. Dunn is a scholar working on Agronomy and Crop Science, Small Animals and Genetics. According to data from OpenAlex, S.M. Dunn has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Agronomy and Crop Science, 9 papers in Small Animals and 6 papers in Genetics. Recurrent topics in S.M. Dunn's work include Ruminant Nutrition and Digestive Physiology (15 papers), Reproductive Physiology in Livestock (13 papers) and Animal health and immunology (9 papers). S.M. Dunn is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (15 papers), Reproductive Physiology in Livestock (13 papers) and Animal health and immunology (9 papers). S.M. Dunn collaborates with scholars based in Canada, Austria and Italy. S.M. Dunn's co-authors include Burim N. Ametaj, Qendrim Zebeli, D.G.V. Emmanuel, Raju K. Mandal, David S. Wishart, Karen Madsen, Thomas A. Churchill, Fozia Saleem, Souhaila Bouatra and Fahad Saleem and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and Animal Feed Science and Technology.

In The Last Decade

S.M. Dunn

20 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.M. Dunn Canada 16 864 256 251 245 184 20 1.0k
P. Górka Poland 16 820 0.9× 291 1.1× 311 1.2× 239 1.0× 136 0.7× 74 1.1k
Z.M. Kowalski Poland 16 836 1.0× 281 1.1× 289 1.2× 289 1.2× 105 0.6× 67 1.1k
Philipe Moriel United States 21 1.0k 1.2× 479 1.9× 302 1.2× 377 1.5× 91 0.5× 131 1.4k
Suzanna M. Dunn Canada 13 585 0.7× 165 0.6× 128 0.5× 208 0.8× 185 1.0× 19 727
Ousama AlZahal Canada 23 1.5k 1.7× 438 1.7× 326 1.3× 511 2.1× 238 1.3× 57 1.8k
F. Piccioli-Cappelli Italy 19 869 1.0× 511 2.0× 285 1.1× 322 1.3× 88 0.5× 73 1.2k
K.R. McLeod United States 13 686 0.8× 221 0.9× 65 0.3× 371 1.5× 136 0.7× 19 910
J.S. Liesman United States 19 1.3k 1.5× 397 1.6× 418 1.7× 559 2.3× 145 0.8× 36 1.7k
P.C. Aikman United Kingdom 11 658 0.8× 149 0.6× 103 0.4× 313 1.3× 86 0.5× 15 792
M. S. Brown United States 15 491 0.6× 286 1.1× 164 0.7× 212 0.9× 67 0.4× 41 847

Countries citing papers authored by S.M. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by S.M. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.M. Dunn

This figure shows the co-authorship network connecting the top 25 collaborators of S.M. Dunn. A scholar is included among the top collaborators of S.M. Dunn 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.M. Dunn. S.M. Dunn 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.
Singh, Pradip Kumar, et al.. (2024). Type IV pili of Enterobacteriaceae species. EcoSal Plus. 12(1). eesp00032023–eesp00032023. 6 indexed citations
2.
Ametaj, Burim N., Guanshi Zhang, Elda Dervishi, et al.. (2016). 0150 Targeted metabolomics reveals multiple metabolite alterations in the urine of transition dairy cows preceding the incidence of lameness. Journal of Animal Science. 94(suppl_5). 72–73. 1 indexed citations
3.
Ametaj, Burim N., Guanshi Zhang, Elda Dervishi, et al.. (2016). 0149 DI/LC-MS/MS-based metabolomics identifies early predictive serum biomarkers for ketosis in dairy cows. Journal of Animal Science. 94(suppl_5). 72–72. 2 indexed citations
4.
Deng, Qiming, John F. Odhiambo, Umar Farooq, et al.. (2015). Intravaginally administered lactic acid bacteria expedited uterine involution and modulated hormonal profiles of transition dairy cows. Journal of Dairy Science. 98(9). 6018–6028. 18 indexed citations
5.
Deng, Qiming, et al.. (2015). Intravaginal probiotics modulated metabolic status and improved milk production and composition of transition dairy cows1. Journal of Animal Science. 94(2). 760–770. 18 indexed citations
6.
Ametaj, Burim N., John F. Odhiambo, Yuxi Wang, et al.. (2014). Intravaginal administration of lactic acid bacteria modulated the incidence of purulent vaginal discharges, plasma haptoglobin concentrations, and milk production in dairy cows. Research in Veterinary Science. 96(2). 365–370. 40 indexed citations
7.
Hailemariam, Dagnachew, Raju K. Mandal, Fahad Saleem, et al.. (2014). Identification of predictive biomarkers of disease state in transition dairy cows. Journal of Dairy Science. 97(5). 2680–2693. 110 indexed citations
8.
9.
Saleem, Fozia, Burim N. Ametaj, Souhaila Bouatra, et al.. (2012). A metabolomics approach to uncover the effects of grain diets on rumen health in dairy cows. Journal of Dairy Science. 95(11). 6606–6623. 177 indexed citations
10.
Zebeli, Qendrim, et al.. (2012). Barley grain-based diet treated with lactic acid and heat modulated plasma metabolites and acute phase response in dairy cows1. Journal of Animal Science. 90(9). 3143–3152. 18 indexed citations
11.
Terrill, Sarah J., et al.. (2012). Treating barley grain with lactic acid and heat prevented sub-acute ruminal acidosis and increased milk fat content in dairy cows. Animal Feed Science and Technology. 172(3-4). 141–149. 22 indexed citations
12.
Zebeli, Qendrim, S.M. Dunn, & Burim N. Ametaj. (2011). Perturbations of plasma metabolites correlated with the rise of rumen endotoxin in dairy cows fed diets rich in easily degradable carbohydrates. Journal of Dairy Science. 94(5). 2374–2382. 49 indexed citations
13.
14.
Zebeli, Qendrim, et al.. (2010). Feeding rolled barley grain steeped in lactic acid modulated energy status and innate immunity in dairy cows. Journal of Dairy Science. 93(11). 5147–5156. 37 indexed citations
15.
Ametaj, Burim N., D.G.V. Emmanuel, Qendrim Zebeli, & S.M. Dunn. (2009). Feeding high proportions of barley grain in a total mixed ration perturbs diurnal patterns of plasma metabolites in lactating dairy cows. Journal of Dairy Science. 92(3). 1084–1091. 56 indexed citations
16.
Zebeli, Qendrim, et al.. (2009). Feeding barley grain steeped in lactic acid modulates rumen fermentation patterns and increases milk fat content in dairy cows. Journal of Dairy Science. 92(12). 6023–6032. 59 indexed citations
17.
Zebeli, Qendrim, S.M. Dunn, & Burim N. Ametaj. (2009). Strong associations among rumen endotoxin and acute phase proteins with plasma minerals in lactating cows fed graded amounts of concentrate1. Journal of Animal Science. 88(4). 1545–1553. 33 indexed citations
18.
Emmanuel, D.G.V., S.M. Dunn, & Burim N. Ametaj. (2008). Feeding High Proportions of Barley Grain Stimulates an Inflammatory Response in Dairy Cows. Journal of Dairy Science. 91(2). 606–614. 179 indexed citations
19.
Ametaj, Burim N., K. M. Koenig, S.M. Dunn, et al.. (2008). Backgrounding and finishing diets are associated with inflammatory responses in feedlot steers1. Journal of Animal Science. 87(4). 1314–1320. 46 indexed citations
20.
Emmanuel, D.G.V., Karen Madsen, Thomas A. Churchill, S.M. Dunn, & Burim N. Ametaj. (2007). Acidosis and Lipopolysaccharide from Escherichia coli B:055 Cause Hyperpermeability of Rumen and Colon Tissues. Journal of Dairy Science. 90(12). 5552–5557. 133 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

Breakdown of academic impact, for papers by P. Górka Breakdown of academic impact, for papers by Z.M. Kowalski Breakdown of academic impact, for papers by Philipe Moriel Breakdown of academic impact, for papers by Suzanna M. Dunn Breakdown of academic impact, for papers by Ousama AlZahal Breakdown of academic impact, for papers by F. Piccioli-Cappelli Breakdown of academic impact, for papers by K.R. McLeod Breakdown of academic impact, for papers by J.S. Liesman Breakdown of academic impact, for papers by P.C. Aikman Breakdown of academic impact, for papers by M. S. Brown
Rankless by CCL
2026