S.J. Lacy-Hulbert

735 total citations
25 papers, 554 citations indexed

About

S.J. Lacy-Hulbert is a scholar working on Agronomy and Crop Science, Food Science and Nutrition and Dietetics. According to data from OpenAlex, S.J. Lacy-Hulbert has authored 25 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Agronomy and Crop Science, 7 papers in Food Science and 6 papers in Nutrition and Dietetics. Recurrent topics in S.J. Lacy-Hulbert's work include Milk Quality and Mastitis in Dairy Cows (24 papers), Probiotics and Fermented Foods (6 papers) and Infant Nutrition and Health (6 papers). S.J. Lacy-Hulbert is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (24 papers), Probiotics and Fermented Foods (6 papers) and Infant Nutrition and Health (6 papers). S.J. Lacy-Hulbert collaborates with scholars based in New Zealand, United States and United Kingdom. S.J. Lacy-Hulbert's co-authors include K. Stelwagen, John H. Williamson, M.W. Woolford, James R. Webster, Cassandra B. Tucker, Ray Cursons, J.E. Hillerton, D. Neil Wedlock, Bryce M. Buddle and G. Nicholas and has published in prestigious journals such as Journal of Dairy Science, Veterinary Microbiology and American Journal of Veterinary Research.

In The Last Decade

S.J. Lacy-Hulbert

24 papers receiving 507 citations

Peers

S.J. Lacy-Hulbert
Samantha K. Wall Switzerland
C. Peris Spain
Caroline J. Hogarth United Kingdom
G. Ruffo Italy
Mariola Bochniarz Poland
E.J. Peeler United Kingdom
C. Hallén Sandgren Sweden
H. Wilmink Netherlands
Sz. Jánosi Hungary
M.J. Thomas United States
Samantha K. Wall Switzerland
S.J. Lacy-Hulbert
Citations per year, relative to S.J. Lacy-Hulbert S.J. Lacy-Hulbert (= 1×) peers Samantha K. Wall

Countries citing papers authored by S.J. Lacy-Hulbert

Since Specialization
Citations

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

Fields of papers citing papers by S.J. Lacy-Hulbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.J. Lacy-Hulbert. 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.J. Lacy-Hulbert. The network helps show where S.J. Lacy-Hulbert may publish in the future.

Co-authorship network of co-authors of S.J. Lacy-Hulbert

This figure shows the co-authorship network connecting the top 25 collaborators of S.J. Lacy-Hulbert. A scholar is included among the top collaborators of S.J. Lacy-Hulbert 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.J. Lacy-Hulbert. S.J. Lacy-Hulbert 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.
Swartz, T.H., Rebecca Cockrum, S.J. Lacy-Hulbert, et al.. (2019). The effect of J5 bacterins on clinical, behavioral, and antibody response following an Escherichia coli intramammary challenge in dairy cows at peak lactation. Journal of Dairy Science. 102(12). 11233–11249. 18 indexed citations
2.
Vries, Albert De, et al.. (2019). Identifying gram-negative and gram-positive clinical mastitis using daily milk component and behavioral sensor data. Journal of Dairy Science. 103(3). 2602–2614. 7 indexed citations
3.
Littlejohn, Mathew D., Sally-Anne Turner, Caroline Walker, et al.. (2018). Identification of an immune modulation locus utilising a bovine mammary gland infection challenge model. Journal of Dairy Research. 85(2). 185–192. 2 indexed citations
4.
Williamson, John H. & S.J. Lacy-Hulbert. (2012). Effect of disinfecting teats post-milking or pre- and post-milking on intramammary infection and somatic cell count. New Zealand Veterinary Journal. 61(5). 262–268. 29 indexed citations
5.
Turner, Sally-Anne, et al.. (2012). Peripartum infection with Streptococcus uberis but not coagulase-negative staphylococci reduced milk production in primiparous cows. Journal of Dairy Science. 96(1). 158–164. 23 indexed citations
6.
Denis, Michel, S.J. Lacy-Hulbert, Bryce M. Buddle, John H. Williamson, & D. Neil Wedlock. (2011). Streptococcus uberis-specific T cells are present in mammary gland secretions of cows and can be activated to kill S. uberis. Veterinary Research Communications. 35(3). 145–156. 24 indexed citations
7.
Cursons, Ray, et al.. (2009). Experimentally induced intramammary infection with multiple strains of Streptococcus uberis. Journal of Dairy Science. 92(11). 5467–5475. 16 indexed citations
8.
Tucker, Cassandra B., S.J. Lacy-Hulbert, & James R. Webster. (2009). Effect of milking frequency and feeding level before and after dry off on dairy cattle behavior and udder characteristics. Journal of Dairy Science. 92(7). 3194–3203. 70 indexed citations
9.
10.
Williamson, John H., et al.. (2007). Field Observations on the Variation of Streptococcus uberis Populations in a Pasture-Based Dairy Farm. Journal of Dairy Science. 90(12). 5558–5566. 59 indexed citations
11.
Lacy-Hulbert, S.J., et al.. (2006). Prevalence of mastitis for cows of different genotypes milked for two consecutive seasons. Research Commons (University of Waikato). 66. 236–240. 4 indexed citations
12.
Denis, Michel, Natalie A. Parlane, S.J. Lacy-Hulbert, et al.. (2006). Bactericidal activity of macrophages against Streptococcus uberis is different in mammary gland secretions of lactating and drying off cows. Veterinary Immunology and Immunopathology. 114(1-2). 111–120. 32 indexed citations
13.
Summers, E.L., et al.. (2004). Influence of feeding level after drying off on incidence of mastitis and keratin plug formation in dairy cows. Research Commons (University of Waikato). 64. 48–52. 3 indexed citations
14.
Wedlock, D. Neil, et al.. (2004). Effect of recombinant cytokines on leucocytes and physiological changes in bovine mammary glands during early involution. Journal of Dairy Research. 71(2). 154–161. 20 indexed citations
15.
Woolford, M.W., et al.. (2001). Effect of localised antibiotic infusions applied to the teat-canal and teat sinus at drying-off on mastitis in the dry-period and at calving. Journal of Dairy Research. 68(4). 551–558. 6 indexed citations
16.
17.
Lacy-Hulbert, S.J., M.W. Woolford, G. Nicholas, Colin G. Prosser, & K. Stelwagen. (1999). Effect of Milking Frequency and Pasture Intake on Milk Yield and Composition of Late Lactation Cows. Journal of Dairy Science. 82(6). 1232–1239. 71 indexed citations
18.
Lacy-Hulbert, S.J., J.E. Hillerton, & M.W. Woolford. (1996). Influence of pulsationless milking on teat canal keratin growth and turnover. Journal of Dairy Research. 63(4). 517–524. 1 indexed citations
19.
Lacy-Hulbert, S.J., M.W. Woolford, & A. M. Bryant. (1995). Influence of once daily milking and restricted feeding on milk characteristics in late lactation. Proceedings of the New Zealand Society of Animal Production. 55. 85–87. 12 indexed citations
20.
Lacy-Hulbert, S.J. & J.E. Hillerton. (1995). Physical characteristics of the bovine teat canal and their influence on susceptibility to streptococcal infection. Journal of Dairy Research. 62(3). 395–404. 32 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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