Michael G. Casey

760 total citations
24 papers, 588 citations indexed

About

Michael G. Casey is a scholar working on Food Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Michael G. Casey has authored 24 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Food Science, 11 papers in Molecular Biology and 7 papers in Agronomy and Crop Science. Recurrent topics in Michael G. Casey's work include Probiotics and Fermented Foods (18 papers), Milk Quality and Mastitis in Dairy Cows (7 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Michael G. Casey is often cited by papers focused on Probiotics and Fermented Foods (18 papers), Milk Quality and Mastitis in Dairy Cows (7 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Michael G. Casey collaborates with scholars based in Switzerland, Ireland and Germany. Michael G. Casey's co-authors include Jacques Meyer, Marie‐Therese Fröhlich‐Wyder, W. Schaeren, H Bachmann, A. Steiner, J. Naskova, H.U. Graber, J.O. Bosset, Laurent Pillonel and J Meyer and has published in prestigious journals such as Applied and Environmental Microbiology, Gut and Journal of Dairy Science.

In The Last Decade

Michael G. Casey

23 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael G. Casey Switzerland 14 351 330 96 90 85 24 588
Françoise Rul France 17 613 1.7× 601 1.8× 70 0.7× 28 0.3× 180 2.1× 26 856
J.L. Bergere France 16 572 1.6× 442 1.3× 158 1.6× 54 0.6× 132 1.6× 36 772
L. Vassal France 17 701 2.0× 448 1.4× 180 1.9× 102 1.1× 181 2.1× 31 861
Romain Richoux France 19 667 1.9× 492 1.5× 200 2.1× 157 1.7× 176 2.1× 27 835
Giuseppina Cacace Italy 15 179 0.5× 373 1.1× 103 1.1× 9 0.1× 73 0.9× 16 684
A Chopin France 12 451 1.3× 540 1.6× 23 0.2× 27 0.3× 124 1.5× 22 794
Marjolein Y. Toonen Netherlands 7 415 1.2× 481 1.5× 46 0.5× 7 0.1× 242 2.8× 7 750
Annette Rouault France 10 298 0.8× 301 0.9× 23 0.2× 19 0.2× 115 1.4× 13 434
Magali Genay France 12 350 1.0× 361 1.1× 48 0.5× 9 0.1× 84 1.0× 20 460
B. Sanz Spain 14 220 0.6× 251 0.8× 136 1.4× 46 0.5× 26 0.3× 37 500

Countries citing papers authored by Michael G. Casey

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Casey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Casey. 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 Michael G. Casey. The network helps show where Michael G. Casey may publish in the future.

Co-authorship network of co-authors of Michael G. Casey

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Casey. A scholar is included among the top collaborators of Michael G. Casey 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 Michael G. Casey. Michael G. Casey 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.
Healy, Sara A., et al.. (2017). 68 The bifidobacterium longum 35624 ® culture transits in high numbers through the human gut. Gut. 66. A25.2–A25. 1 indexed citations
2.
Casey, Michael G., et al.. (2008). Naturally occurring genetic markers in lactobacilli and their use to verify the authenticity of Swiss Emmental PDO cheese. Dairy Science and Technology. 88(4-5). 457–466. 7 indexed citations
3.
Graber, H.U., Michael G. Casey, J. Naskova, A. Steiner, & W. Schaeren. (2007). Development of a Highly Sensitive and Specific Assay to Detect Staphylococcus aureus in Bovine Mastitic Milk. Journal of Dairy Science. 90(10). 4661–4669. 82 indexed citations
4.
Casey, Michael G., et al.. (2006). Characterisation of the non-starter lactic acid bacteria (NSLAB) of Gruyère PDO cheese. Le Lait. 86(6). 407–414. 24 indexed citations
5.
Pillonel, Laurent, René Badertscher, Michael G. Casey, et al.. (2005). Geographic origin of European Emmental cheese: Characterisation and descriptive statistics. International Dairy Journal. 15(6-9). 547–556. 38 indexed citations
6.
Bachmann, H, et al.. (2004). Occurrence and significance of Fusarium domesticum alias Anticollanti on smear-ripened cheeses. LWT. 38(4). 399–407. 26 indexed citations
7.
Berthoud, Hélène, et al.. (2004). Comparison of partial gene sequences encoding a phosphoketolase for the identification of bifidobacteria. LWT. 38(1). 101–105. 21 indexed citations
8.
Marilley, Laurent, et al.. (2004). Screening of aroma-producing lactic acid bacteria with an electronic nose. International Dairy Journal. 14(10). 849–856. 31 indexed citations
9.
Casey, Michael G., et al.. (2002). Comparison of partialtufgene sequences for the identification of lactobacilli. FEMS Microbiology Letters. 217(2). 177–183. 71 indexed citations
10.
Bourniquel, Aude, Michael G. Casey, Beat Mollet, & R. David Pridmore. (2002). DNA Sequence and Functional Analysis of Lactobacillus delbrueckii subsp. lactis Plasmids pN42 and pJBL2. Plasmid. 47(2). 153–157. 7 indexed citations
11.
Pillonel, Laurent, René Badertscher, Michael G. Casey, et al.. (2002). Analytical methods for the determination of the geographic origin of Emmentaler cheese. Main framework of the project; chemical, biochemical, microbiological, colour and sensory analyses. European Food Research and Technology. 215(3). 260–267. 48 indexed citations
12.
Fröhlich‐Wyder, Marie‐Therese, H Bachmann, & Michael G. Casey. (2002). Interaction between propionibacteria and starter / non-starter lactic acid bacteria in Swiss-type cheeses. Le Lait. 82(1). 1–15. 43 indexed citations
13.
Meyer, Jacques, et al.. (2000). Purification, characterisation, cloning and sequencing of the gene encoding oligopeptidase PepO fromStreptococcus thermophilusA. FEMS Microbiology Letters. 191(1). 79–85. 14 indexed citations
14.
Casey, Michael G., et al.. (1999). Identification of propionibacteria isolated from brown spots of Swiss hard and semi-hard cheeses. Le Lait. 79(2). 211–216. 6 indexed citations
15.
Casey, Michael G., et al.. (1999). Purification, Characterization, Gene Cloning, Sequencing, and Overexpression of Aminopeptidase N fromStreptococcus thermophilusA. Applied and Environmental Microbiology. 65(7). 3001–3007. 34 indexed citations
16.
Casey, Michael G., et al.. (1998). Rapid identification of dairy Propionibacterium species by restriction analysis of the insertion within the 23S rRNA gene. Le Lait. 78(2). 203–216. 4 indexed citations
17.
18.
Casey, Michael G. & Jacques Meyer. (1985). Presence of X-Prolyl-Dipeptidyl-Peptidase in Lactic Acid Bacteria. Journal of Dairy Science. 68(12). 3212–3215. 71 indexed citations
19.
Casey, Michael G.. (1973). Application of Samuelson - Stone linear expenditure system to food consumption in Ireland. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 5 indexed citations
20.
Casey, Michael G. & J.-P. Felber. (1967). The Effect of Galactose on Phenylalanine Transport and its Damage to the Mucosal Cells of the Rat Intestine. Digestion. 107(4). 209–215. 5 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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