J. K. Ahola

613 total citations
36 papers, 434 citations indexed

About

J. K. Ahola is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, J. K. Ahola has authored 36 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Agronomy and Crop Science, 14 papers in Genetics and 12 papers in Animal Science and Zoology. Recurrent topics in J. K. Ahola's work include Reproductive Physiology in Livestock (15 papers), Genetic and phenotypic traits in livestock (14 papers) and Ruminant Nutrition and Digestive Physiology (14 papers). J. K. Ahola is often cited by papers focused on Reproductive Physiology in Livestock (15 papers), Genetic and phenotypic traits in livestock (14 papers) and Ruminant Nutrition and Digestive Physiology (14 papers). J. K. Ahola collaborates with scholars based in United States, Canada and Brazil. J. K. Ahola's co-authors include T. E. Engle, J.C. Whittier, P. D. Burns, Temple Grandin, R. K. Peel, R. M. Enns, Robert G. Mortimer, T. W. Geary, Robert J. Callan and G.E. Seidel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Journal of Dairy Science.

In The Last Decade

J. K. Ahola

34 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. K. Ahola United States 11 236 188 166 142 46 36 434
Rómulo Campos Gaona Colombia 11 386 1.6× 170 0.9× 220 1.3× 93 0.7× 31 0.7× 66 569
Megan L Van Emon United States 12 294 1.2× 111 0.6× 113 0.7× 54 0.4× 72 1.6× 57 480
H. Amanlou Iran 17 579 2.5× 242 1.3× 239 1.4× 134 0.9× 78 1.7× 63 738
A. F. Death New Zealand 14 171 0.7× 208 1.1× 113 0.7× 62 0.4× 52 1.1× 32 400
Kalyan De India 13 211 0.9× 265 1.4× 93 0.6× 103 0.7× 31 0.7× 46 448
Antonio Mimosi Italy 13 155 0.7× 191 1.0× 91 0.5× 93 0.7× 82 1.8× 43 394
Steve Lowry United States 10 213 0.9× 167 0.9× 97 0.6× 44 0.3× 46 1.0× 20 401
J.A. Pennington United States 12 389 1.6× 173 0.9× 223 1.3× 167 1.2× 41 0.9× 20 495
Daniel Montanher Polizel Brazil 12 423 1.8× 180 1.0× 209 1.3× 23 0.2× 40 0.9× 86 509
Abdülkadir Orman Türkiye 13 131 0.6× 225 1.2× 122 0.7× 70 0.5× 24 0.5× 51 404

Countries citing papers authored by J. K. Ahola

Since Specialization
Citations

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

Fields of papers citing papers by J. K. Ahola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. K. Ahola. 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 J. K. Ahola. The network helps show where J. K. Ahola may publish in the future.

Co-authorship network of co-authors of J. K. Ahola

This figure shows the co-authorship network connecting the top 25 collaborators of J. K. Ahola. A scholar is included among the top collaborators of J. K. Ahola 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 J. K. Ahola. J. K. Ahola 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.
Román-Muñiz, Noa, et al.. (2023). Exploring undergraduate students’ perceptions of food animal production and their sense of belonging in an introductory animal science course. SHILAP Revista de lepidopterología. 4. 1 indexed citations
2.
Ippolito, James A., et al.. (2021). Soil health changes following transition from an annual cropping to perennial management‐intensive grazing agroecosystem. Agrosystems Geosciences & Environment. 4(2). 10 indexed citations
3.
Ippolito, James A., et al.. (2020). Management-intensive Grazing Affects Soil Health. 6 indexed citations
4.
Archibeque-Engle, Shannon, et al.. (2019). Dairy producer perceptions of the Farmers Assuring Responsible Management (FARM) Animal Care Program. Journal of Dairy Science. 102(12). 11317–11327. 6 indexed citations
5.
Stevenson, Jeffrey S., S. L. Hill, David M. Grieger, et al.. (2017). Two split-time artificial insemination programs in suckled beef cows1,2. Journal of Animal Science. 95(11). 5105–5111. 6 indexed citations
6.
Olson, K. C., Carl R Dahlen, G. A. Bridges, et al.. (2016). Using estrus detection patches to optimally time insemination improved pregnancy risk in suckled beef cows enrolled in a fixed-time artificial insemination program12. Journal of Animal Science. 94(9). 3703–3710. 9 indexed citations
7.
Ahola, J. K., et al.. (2016). Effects of two-stage weaning with nose flap devices applied to calves on cow body condition, calf performance, and calf humoral immune response. Journal of Animal Science. 94(2). 816–823. 10 indexed citations
8.
Schwartzkopf-Genswein, K. S., J. K. Ahola, Lily Edwards-Callaway, D. S. Hale, & J. A. Paterson. (2016). Symposium Paper: Transportation issues affecting cattle well-being and considerations for the future. The Professional Animal Scientist. 32(6). 707–716. 26 indexed citations
9.
Adams, A.E., et al.. (2016). Effect of Dairy Beef Quality Assurance Training on Dairy Worker Knowledge and Welfare-Related Practices. Journal of Extension. 54(5). 2 indexed citations
10.
Ahola, J. K., et al.. (2016). Reticulo-rumen temperature as a predictor of calving time in primiparous and parous Holstein females. Journal of Dairy Science. 99(6). 4839–4850. 30 indexed citations
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Ahola, J. K., Robert J. Callan, Beat Bigler, et al.. (2013). Impact of oral meloxicam administration before and after band castration on feedlot performance and behavioral response in weanling beef bulls. Journal of Animal Science. 91(10). 4965–4974. 16 indexed citations
14.
Bridges, G. A., J. K. Ahola, Cássio Cassal Brauner, et al.. (2012). Determination of the appropriate delivery of prostaglandin F2α in the five-day CO-Synch + controlled intravaginal drug release protocol in suckled beef cows1. Journal of Animal Science. 90(13). 4814–4822. 31 indexed citations
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16.
Ahola, J. K., et al.. (2006). Decreased brain copper due to copper deficiency has no effect on bovine prion proteins. Biochemical and Biophysical Research Communications. 352(4). 884–888. 8 indexed citations
17.
Ahola, J. K., T. E. Engle, & P. D. Burns. (2005). Effect of copper status, supplementation, and source on pituitary responsiveness to exogenous gonadotropin-releasing hormone in ovariectomized beef cows1,2,3. Journal of Animal Science. 83(8). 1812–1823. 13 indexed citations
18.
Ahola, J. K., et al.. (2005). Effects of Copper, Zinc, and Manganese Source on Mineral Status, Reproduction, Immunity, and Calf Performance in Young Beef Females over a Two-Year Period. The Professional Animal Scientist. 21(4). 297–304. 7 indexed citations
19.
Ahola, J. K., P. D. Burns, Robert G. Mortimer, et al.. (2004). Effect of copper, zinc, and manganese supplementation and source on reproduction, mineral status, and performance in grazing beef cattle over a two-year period123. Journal of Animal Science. 82(8). 2375–2383. 72 indexed citations
20.
Zerby, H. N., K. E. Belk, J. K. Ahola, et al.. (1999). Effects of muscle α-tocopherol level and surface microbiological contamination on retail caselife of fresh beef from the US, Japan and Australia. Meat Science. 52(1). 111–118. 15 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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