Jasmeet Kaler

3.8k total citations
114 papers, 2.8k citations indexed

About

Jasmeet Kaler is a scholar working on Small Animals, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Jasmeet Kaler has authored 114 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Small Animals, 47 papers in Agronomy and Crop Science and 39 papers in Genetics. Recurrent topics in Jasmeet Kaler's work include Animal Behavior and Welfare Studies (82 papers), Animal Disease Management and Epidemiology (42 papers) and Effects of Environmental Stressors on Livestock (20 papers). Jasmeet Kaler is often cited by papers focused on Animal Behavior and Welfare Studies (82 papers), Animal Disease Management and Epidemiology (42 papers) and Effects of Environmental Stressors on Livestock (20 papers). Jasmeet Kaler collaborates with scholars based in United Kingdom, Netherlands and Ireland. Jasmeet Kaler's co-authors include Laura Green, Martin Green, Annmarie Ruston, Orla Shortall, Jorge A. Vázquez-Diosdado, Marnie Brennan, Wendela Wapenaar, Eamonn Ferguson, Fiona Lovatt and G. J. Wassink and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jasmeet Kaler

111 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jasmeet Kaler United Kingdom 34 1.8k 1.1k 625 624 341 114 2.8k
Karin Orsel Canada 34 1.5k 0.8× 1.4k 1.3× 515 0.8× 820 1.3× 499 1.5× 149 3.4k
Gina Pinchbeck United Kingdom 45 1.6k 0.9× 767 0.7× 950 1.5× 510 0.8× 232 0.7× 212 6.0k
Roger Blowey United Kingdom 24 1.6k 0.9× 1.0k 0.9× 426 0.7× 710 1.1× 235 0.7× 85 2.2k
K. Frankena Netherlands 39 1.7k 1.0× 1.5k 1.3× 582 0.9× 1.1k 1.7× 303 0.9× 157 4.5k
Nathalie Bareille France 27 998 0.6× 1.3k 1.2× 724 1.2× 614 1.0× 319 0.9× 87 2.3k
Nils Toft Denmark 37 1.6k 0.9× 1.5k 1.3× 615 1.0× 605 1.0× 875 2.6× 189 5.1k
Navneet K. Dhand Australia 36 1.1k 0.6× 814 0.7× 770 1.2× 265 0.4× 277 0.8× 207 4.3k
K. S. Schwartzkopf-Genswein Canada 31 1.9k 1.0× 1.3k 1.1× 820 1.3× 1.9k 3.1× 182 0.5× 132 3.4k
Laura Boyle Ireland 34 2.5k 1.4× 1.1k 0.9× 842 1.3× 1.9k 3.1× 249 0.7× 159 3.3k
Adrian Steiner Switzerland 30 1.9k 1.0× 1.3k 1.2× 460 0.7× 900 1.4× 549 1.6× 259 3.7k

Countries citing papers authored by Jasmeet Kaler

Since Specialization
Citations

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

Fields of papers citing papers by Jasmeet Kaler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jasmeet Kaler. 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 Jasmeet Kaler. The network helps show where Jasmeet Kaler may publish in the future.

Co-authorship network of co-authors of Jasmeet Kaler

This figure shows the co-authorship network connecting the top 25 collaborators of Jasmeet Kaler. A scholar is included among the top collaborators of Jasmeet Kaler 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 Jasmeet Kaler. Jasmeet Kaler 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.
Vázquez-Diosdado, Jorge A., et al.. (2025). Diurnality is consistently different between individuals and decreases with disease or stressful events in dairy calves. Scientific Reports. 15(1). 27090–27090.
2.
Burrell, Alison, Jenny Frössling, Bart Pardon, et al.. (2024). A Living Lab approach to understanding dairy farmers' technology and data needs to improve herd health: Focus groups from 6 European countries. Journal of Dairy Science. 107(8). 5754–5778. 5 indexed citations
3.
Bradley, Andrew, R.J. Dewhurst, Niamh Forde, et al.. (2024). Quantification of the effect of in utero events on lifetime resilience in dairy cows. Journal of Dairy Science. 107(7). 4616–4633. 1 indexed citations
4.
Frössling, Jenny, et al.. (2023). Social and ethical implications of data and technology use on farms: a qualitative study of Swedish dairy and pig farmers. Frontiers in Veterinary Science. 10. 1171107–1171107. 8 indexed citations
5.
Baker, Michelle, Yue Hu, Wei Wang, et al.. (2022). Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock. The ISME Journal. 17(1). 21–35. 38 indexed citations
6.
Hudson, Chris, J.N. Huxley, Jasmeet Kaler, et al.. (2022). A randomised controlled trial to evaluate the impact of indoor living space on dairy cow production, reproduction and behaviour. Scientific Reports. 12(1). 3849–3849. 6 indexed citations
7.
Green, Martin, et al.. (2022). Fellow cows and conflicting farmers: Public perceptions of dairy farming uncovered through frame analysis. Frontiers in Veterinary Science. 9. 995240–995240. 4 indexed citations
8.
Green, Martin, et al.. (2022). Understanding public preferences for different dairy farming systems using a mixed-methods approach. Journal of Dairy Science. 105(9). 7492–7512. 9 indexed citations
9.
Vázquez-Diosdado, Jorge A., et al.. (2022). Indication of a personality trait in dairy calves and its link to weight gain through automatically collected feeding behaviours. Scientific Reports. 12(1). 19425–19425. 11 indexed citations
10.
Green, Martin, Eamonn Ferguson, Michael J. Tildesley, et al.. (2022). Cattle farmer psychosocial profiles and their association with control strategies for bovine viral diarrhea. Journal of Dairy Science. 105(4). 3559–3573. 10 indexed citations
11.
12.
Hudson, Chris, et al.. (2020). Antimicrobial use practices and opinions of beef farmers in England and Wales. Veterinary Record. 187(12). e119–e119. 7 indexed citations
13.
Huxley, J.N., et al.. (2020). Field survey to evaluate space allowances for dairy cows in Great Britain. Journal of Dairy Science. 103(4). 3745–3759. 9 indexed citations
14.
Sarker, Nishat, Jennifer M. Seddon, Rachael Tarlinton, et al.. (2019). Genetic diversity of Koala retrovirus env gene subtypes: insights into northern and southern koala populations. Journal of General Virology. 100(9). 1328–1339. 21 indexed citations
15.
16.
Shortall, Orla, Martin Green, Marnie Brennan, Wendela Wapenaar, & Jasmeet Kaler. (2017). Exploring expert opinion on the practicality and effectiveness of biosecurity measures on dairy farms in the United Kingdom using choice modeling. Journal of Dairy Science. 100(3). 2225–2239. 36 indexed citations
17.
Lim, Poh Ying, et al.. (2014). Area of hock hair loss in dairy cows: Risk factors and correlation with a categorical scale. The Veterinary Journal. 203(2). 205–210. 11 indexed citations
18.
Green, Laura, Jasmeet Kaler, Leo Calvo‐Bado, et al.. (2014). A longitudinal study of the role of Dichelobacter nodosus and Fusobacterium necrophorum load in initiation and severity of footrot in sheep. Preventive Veterinary Medicine. 115(1-2). 48–55. 68 indexed citations
19.
Calvo‐Bado, Leo, Laura Green, Graham F. Medley, et al.. (2010). Detection and diversity of a putative novel heterogeneous polymorphic proline-glycine repeat (Pgr) protein in the footrot pathogen Dichelobacter nodosus. Veterinary Microbiology. 147(3-4). 358–366. 13 indexed citations
20.
Green, Laura, et al.. (2008). Practicalities of lameness management in sheep. 13(7). 50–54.

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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