John T. Tobin

2.3k total citations
83 papers, 1.7k citations indexed

About

John T. Tobin is a scholar working on Food Science, Agronomy and Crop Science and Nutrition and Dietetics. According to data from OpenAlex, John T. Tobin has authored 83 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Food Science, 23 papers in Agronomy and Crop Science and 19 papers in Nutrition and Dietetics. Recurrent topics in John T. Tobin's work include Proteins in Food Systems (23 papers), Probiotics and Fermented Foods (16 papers) and Milk Quality and Mastitis in Dairy Cows (13 papers). John T. Tobin is often cited by papers focused on Proteins in Food Systems (23 papers), Probiotics and Fermented Foods (16 papers) and Milk Quality and Mastitis in Dairy Cows (13 papers). John T. Tobin collaborates with scholars based in Ireland, New Zealand and United States. John T. Tobin's co-authors include Sean A. Hogan, Alan L. Kelly, Tom F. O’Callaghan, Norah O’Shea, Mark A. Fenelon, Sinead M. Fitzsimons, Mark A. Fenelon, Stephan Drusch, D. Hennessy and Colm P. O’Donnell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Journal of Dairy Science.

In The Last Decade

John T. Tobin

77 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John T. Tobin Ireland 24 921 353 349 319 234 83 1.7k
Lars Wiking Denmark 25 1.0k 1.1× 458 1.3× 317 0.9× 511 1.6× 410 1.8× 93 1.9k
Sean A. Hogan Ireland 31 1.8k 2.0× 439 1.2× 353 1.0× 684 2.1× 121 0.5× 71 3.2k
Tom F. O’Callaghan Ireland 25 783 0.9× 582 1.6× 662 1.9× 616 1.9× 609 2.6× 83 2.2k
T.J. Geurts Netherlands 13 1.6k 1.8× 398 1.1× 450 1.3× 434 1.4× 210 0.9× 22 2.2k
Colette C. Fagan Ireland 21 486 0.5× 166 0.5× 176 0.5× 439 1.4× 327 1.4× 58 1.7k
Eija Skyttä Finland 19 786 0.9× 244 0.7× 449 1.3× 323 1.0× 117 0.5× 36 1.8k
Michele Faccia Italy 31 1.8k 1.9× 666 1.9× 883 2.5× 628 2.0× 191 0.8× 121 2.9k
KeShun Liu United States 14 672 0.7× 535 1.5× 317 0.9× 339 1.1× 99 0.4× 20 1.8k
Marianne Sindic Belgium 20 640 0.7× 290 0.8× 263 0.8× 142 0.4× 228 1.0× 85 2.2k
Richard K. Robinson United Kingdom 19 1.1k 1.2× 358 1.0× 371 1.1× 230 0.7× 94 0.4× 36 1.7k

Countries citing papers authored by John T. Tobin

Since Specialization
Citations

This map shows the geographic impact of John T. Tobin'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 John T. Tobin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Tobin more than expected).

Fields of papers citing papers by John T. Tobin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Tobin. 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 John T. Tobin. The network helps show where John T. Tobin may publish in the future.

Co-authorship network of co-authors of John T. Tobin

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Tobin. A scholar is included among the top collaborators of John T. Tobin 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 John T. Tobin. John T. Tobin 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.
Tobin, John T., Kieran N. Kilcawley, David T. Mannion, et al.. (2025). The impacts of a typical dairy cow crossbreeding strategy on Cheddar cheesemaking efficiency, nutrition and quality. International Journal of Dairy Technology. 78(2). 1 indexed citations
2.
Horan, B., et al.. (2025). The impact of genetic variation on the functional properties of β-lactoglobulin. Food Hydrocolloids. 163. 111051–111051.
3.
Horan, B., John T. Tobin, David T. Mannion, et al.. (2025). The impacts of a multispecies sward grazing system and stage of lactation on the processing-efficiency and compositional characteristics of milk and Cheddar cheese. International Dairy Journal. 169. 106342–106342.
4.
Horan, B., Gaëtan Drouin, John T. Tobin, et al.. (2024). Effects of multispecies pasture diet and cow breed on milk composition and quality in a seasonal spring-calving dairy production system. Journal of Dairy Science. 107(12). 10256–10267. 7 indexed citations
5.
6.
O’Mahony, James A., et al.. (2024). Genetic variation in bovine milk proteins: Implications for functional and nutritional properties. International Journal of Dairy Technology. 78(1). 1 indexed citations
7.
Mannion, David T., Kieran N. Kilcawley, J.P. Murphy, et al.. (2024). The impacts of milking frequency on nutrient composition and functional characteristics of Cheddar cheese. International Journal of Dairy Technology. 77(3). 630–644. 5 indexed citations
8.
Tobin, John T., et al.. (2024). Potential of acoustic sensors for real-time monitoring of physicochemical properties of milk protein concentrate during ultrafiltration. Journal of Food Engineering. 387. 112314–112314. 2 indexed citations
9.
10.
McSweeney, Paul L.H., et al.. (2023). The impact of temperature on flux, protein transmission and energy usage during microfiltration of skim milk using polymeric membranes. International Dairy Journal. 147. 105729–105729. 2 indexed citations
11.
Arranz, Elena, Francesca Bot, Laura G. Gómez‐Mascaraque, et al.. (2023). The Protein Composition and In Vitro Digestive Characteristics of Animal- versus Plant-Based Infant Nutritional Products. Foods. 12(7). 1469–1469. 3 indexed citations
12.
O’Donnell, Colm P., Derek Greene, D. Hennessy, et al.. (2023). Trend analysis and prediction of seasonal changes in milk composition from a pasture-based dairy research herd. Journal of Dairy Science. 106(4). 2326–2337. 23 indexed citations
13.
14.
Xia, Xiao‐Feng, John T. Tobin, Mark A. Fenelon, Paul L.H. McSweeney, & Jeremiah J. Sheehan. (2021). Production, composition and preservation of micellar casein concentrate and its application in cheesemaking: A review. International Journal of Dairy Technology. 75(1). 46–58. 9 indexed citations
15.
López‐Villalobos, N., John T. Tobin, Eoin G. Murphy, et al.. (2020). Effect of temperature on raw whole milk density and its potential impact on milk payment in the dairy industry. International Journal of Food Science & Technology. 56(5). 2415–2422. 8 indexed citations
16.
López‐Villalobos, N., John T. Tobin, Eoin G. Murphy, et al.. (2020). The Effect of Compositional Changes Due to Seasonal Variation on Milk Density and the Determination of Season-Based Density Conversion Factors for Use in the Dairy Industry. Foods. 9(8). 1004–1004. 38 indexed citations
17.
Tobin, John T., et al.. (2020). Interfacial properties of milk proteins: A review. Advances in Colloid and Interface Science. 295. 102347–102347. 56 indexed citations
18.
Pathania, Shivani, Quang Tri Ho, Sean A. Hogan, Noel A. McCarthy, & John T. Tobin. (2018). Applications of hydrodynamic cavitation for instant rehydration of high protein milk powders. Journal of Food Engineering. 225. 18–25. 43 indexed citations
19.
Kelly, Alan L., et al.. (1996). Acceleration of cheese ripening. Antonie van Leeuwenhoek. 70(2-4). 271–297. 138 indexed citations
20.
Tobin, John T., et al.. (1965). The nutritive values of ammonium bisulphate and molassed silages. 1. Comparisons of acceptability and feeding value for beef and dairy cattle.. Irish journal of agricultural research. 4. 115–123. 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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