D.A. Luther

432 total citations
18 papers, 338 citations indexed

About

D.A. Luther is a scholar working on Agronomy and Crop Science, Microbiology and Food Science. According to data from OpenAlex, D.A. Luther has authored 18 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Agronomy and Crop Science, 8 papers in Microbiology and 7 papers in Food Science. Recurrent topics in D.A. Luther's work include Milk Quality and Mastitis in Dairy Cows (14 papers), Probiotics and Fermented Foods (7 papers) and Microbial infections and disease research (7 papers). D.A. Luther is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (14 papers), Probiotics and Fermented Foods (7 papers) and Microbial infections and disease research (7 papers). D.A. Luther collaborates with scholars based in United States and South Korea. D.A. Luther's co-authors include S.P. Oliver, R.A. Almeida, Scott C. N. Oliver, Reinaldo Nóbrega de Almeida, Hyung‐Ho Park, B.E. Gillespie, J. Roberson, Luis F. Calvinho, Michael S. Bronze and Karl R. Matthews and has published in prestigious journals such as Journal of Dairy Science, Journal of Food Protection and Veterinary Microbiology.

In The Last Decade

D.A. Luther

18 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.A. Luther United States 11 229 182 117 59 49 18 338
Liliana Odierno Argentina 13 353 1.5× 239 1.3× 161 1.4× 26 0.4× 30 0.6× 30 455
L. Tikofsky United States 8 331 1.4× 238 1.3× 140 1.2× 18 0.3× 47 1.0× 10 440
Alejandro Ceballos-Márquez Colombia 11 208 0.9× 99 0.5× 37 0.3× 40 0.7× 56 1.1× 20 372
M.T. Koskinen Finland 5 426 1.9× 278 1.5× 229 2.0× 26 0.4× 29 0.6× 6 521
E. Malinowski Poland 12 348 1.5× 204 1.1× 72 0.6× 23 0.4× 21 0.4× 58 430
Michael Farre Denmark 13 267 1.2× 117 0.6× 99 0.8× 16 0.3× 31 0.6× 18 369
Mohamed E. Alnakip Egypt 8 131 0.6× 145 0.8× 42 0.4× 46 0.8× 11 0.2× 14 311
H Vaarkamp Netherlands 5 155 0.7× 133 0.7× 74 0.6× 9 0.2× 22 0.4× 8 333
Leane Oliveira United States 7 394 1.7× 243 1.3× 125 1.1× 24 0.4× 13 0.3× 7 489
Abhijit Gurjar United States 8 164 0.7× 114 0.6× 55 0.5× 23 0.4× 66 1.3× 9 316

Countries citing papers authored by D.A. Luther

Since Specialization
Citations

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

Fields of papers citing papers by D.A. Luther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.A. Luther

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

All Works

18 of 18 papers shown
1.
Almeida, R.A., Can Özen, D.A. Luther, et al.. (2011). Vaccination of dairy cows with recombinant Streptococcus uberis adhesion molecule induces antibodies that reduce adherence to and internalization of S. uberis into bovine mammary epithelial cells. Veterinary Immunology and Immunopathology. 141(3-4). 201–208. 27 indexed citations
2.
3.
Chen, Xueyan, Oudessa Kerro Dego, R.A. Almeida, et al.. (2010). Deletion of sua gene reduces the ability of Streptococcus uberis to adhere to and internalize into bovine mammary epithelial cells. Veterinary Microbiology. 147(3-4). 426–434. 19 indexed citations
4.
Almeida, R.A., D.A. Luther, D. Patel, & S.P. Oliver. (2010). Predicted antigenic regions of Streptococcus uberis adhesion molecule (SUAM) are involved in adherence to and internalization into mammary epithelial cells. Veterinary Microbiology. 148(2-4). 323–328. 14 indexed citations
5.
6.
Gilbert, Florence B., D.A. Luther, & S.P. Oliver. (2006). Induction of surface-associated proteins of Streptococcus uberis by cultivation with extracellular matrix components and bovine mammary epithelial cells. FEMS Microbiology Letters. 156(1). 161–164. 8 indexed citations
7.
Almeida, Reinaldo Nóbrega de, D.A. Luther, Hyung‐Ho Park, & Scott C. N. Oliver. (2006). Identification, isolation, and partial characterization of a novel Streptococcus uberis adhesion molecule (SUAM). Veterinary Microbiology. 115(1-3). 183–191. 65 indexed citations
8.
Almeida, R.A., et al.. (2003). Binding of host glycosaminoglycans and milk proteins: possible role in the pathogenesis of Streptococcus uberis mastitis. Veterinary Microbiology. 94(2). 131–141. 11 indexed citations
9.
Park, Hee‐Myung, R.A. Almeida, D.A. Luther, & S.P. Oliver. (2002). Binding of bovine lactoferrin toStreptococcus dysgalactiaesubsp.dysgalactiaeisolated from cows with mastitis. FEMS Microbiology Letters. 208(1). 35–39. 5 indexed citations
10.
Oliver, S.P., B.E. Gillespie, M.J. Lewis, et al.. (2001). Efficacy of a New Premilking Teat Disinfectant Containing a Phenolic Combination for the Prevention of Mastitis. Journal of Dairy Science. 84(6). 1545–1549. 35 indexed citations
11.
Almeida, R.A., D.A. Luther, & S.P. Oliver. (1999). Incubation ofStreptococcus uberiswith extracellular matrix proteins enhances adherence to and internalization into bovine mammary epithelial cells. FEMS Microbiology Letters. 178(1). 81–85. 19 indexed citations
12.
Fang, Weihuan, D.A. Luther, R.A. Almeida, & S.P. Oliver. (1998). Decreased Growth of Streptococcus uberis in Milk from Mammary Glands of Cows Challenged with the Same Mastitis Pathogen. Journal of Veterinary Medicine Series B. 45(1-10). 539–549. 6 indexed citations
13.
Fang, Weihuan, D.A. Luther, & S.P. Oliver. (1998). Protein expression byStreptococcus uberisin co-culture with bovine mammary epithelial cells. FEMS Microbiology Letters. 166(2). 237–242. 1 indexed citations
14.
Matthews, Karl R., J. Roberson, B.E. Gillespie, D.A. Luther, & S.P. Oliver. (1997). Identification and Differentiation of Coagulase-Negative Staphylococcus aureus by Polymerase Chain Reaction. Journal of Food Protection. 60(6). 686–688. 38 indexed citations
15.
Gilbert, Fiona J., D.A. Luther, & Scott C. N. Oliver. (1997). Induction of surface-associated proteins of by cultivation with extracellular matrix components and bovine mammary epithelial cells. FEMS Microbiology Letters. 156(1). 161–164. 11 indexed citations
16.
Almeida, R.A., et al.. (1996). Adherence of Streptococcus uberis to Bovine Mammary Epithelial Cells and to Extracellular Matrix Proteins. Journal of Veterinary Medicine Series B. 43(1-10). 385–392. 45 indexed citations
17.
Rejman, J. J., D.A. Luther, W.E. Owens, S.C. Nickerson, & S.P. Oliver. (1995). Changes in Bovine Mammary‐secretion Composition During Early Involution Following Intramammary Infusion of Recombinant Bovine Cytokines. Journal of Veterinary Medicine Series B. 42(1-10). 449–458. 4 indexed citations
18.
Röske, I., et al.. (1988). Vergleichende Untersuchungen über das Phosphataufnahmevermögen ausgewählter Bakterienarten. Acta hydrochimica et hydrobiologica. 16(2). 205–211. 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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