J. Bohmanová

1.8k total citations · 1 hit paper
25 papers, 1.4k citations indexed

About

J. Bohmanová is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, J. Bohmanová has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 12 papers in Agronomy and Crop Science and 9 papers in Animal Science and Zoology. Recurrent topics in J. Bohmanová's work include Genetic and phenotypic traits in livestock (18 papers), Reproductive Physiology in Livestock (9 papers) and Effects of Environmental Stressors on Livestock (8 papers). J. Bohmanová is often cited by papers focused on Genetic and phenotypic traits in livestock (18 papers), Reproductive Physiology in Livestock (9 papers) and Effects of Environmental Stressors on Livestock (8 papers). J. Bohmanová collaborates with scholars based in Canada, United States and Czechia. J. Bohmanová's co-authors include I. Misztal, John B. Cole, J. Jamrozik, F. Miglior, Mehdi Sargolzaei, Flávio S. Schenkel, S. Tsuruta, H.D. Norman, T.J. Lawlor and L.R. Schaeffer and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and BMC Genomics.

In The Last Decade

J. Bohmanová

25 papers receiving 1.3k citations

Hit Papers

Temperature-Humidity Indices as Indicators of Milk Produc... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers

J. Bohmanová
Hedi Hammami Belgium
J. Bohmanová
Citations per year, relative to J. Bohmanová J. Bohmanová (= 1×) peers Hedi Hammami

Countries citing papers authored by J. Bohmanová

Since Specialization
Citations

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

Fields of papers citing papers by J. Bohmanová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Bohmanová

This figure shows the co-authorship network connecting the top 25 collaborators of J. Bohmanová. A scholar is included among the top collaborators of J. Bohmanová 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. Bohmanová. J. Bohmanová 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.
Bohmanová, J., Mehdi Sargolzaei, & Flávio S. Schenkel. (2010). Characteristics of linkage disequilibrium in North American Holsteins. BMC Genomics. 11(1). 421–421. 99 indexed citations
2.
Jamrozik, J., J. Bohmanová, & L.R. Schaeffer. (2010). Relationships between milk yield and somatic cell score in Canadian Holsteins from simultaneous and recursive random regression models. Journal of Dairy Science. 93(3). 1216–1233. 35 indexed citations
3.
Miglior, F., et al.. (2009). Phenotypic analysis of pregnancy effect on milk, fat, and protein yields of Canadian Ayrshire, Jersey, Brown Swiss, and Guernsey breeds. Journal of Dairy Science. 92(3). 1300–1312. 30 indexed citations
4.
Bohmanová, J., J. Jamrozik, & F. Miglior. (2009). Effect of pregnancy on production traits of Canadian Holstein cows. Journal of Dairy Science. 92(6). 2947–2959. 30 indexed citations
5.
Bohmanová, J., F. Miglior, & J. Jamrozik. (2009). Use of test-day records beyond three hundred five days for estimation of three hundred five-day breeding values for production traits and somatic cell score of Canadian Holsteins. Journal of Dairy Science. 92(10). 5314–5325. 9 indexed citations
6.
Miglior, F., et al.. (2009). Short communication: Effect of preadjusting test-day yields for stage of pregnancy on variance component estimation in Canadian Ayrshires. Journal of Dairy Science. 92(5). 2270–2275. 3 indexed citations
7.
Bohmanová, J., et al.. (2009). Genetic parameters of milking frequency and milk production traits in Canadian Holsteins milked by an automated milking system. Journal of Dairy Science. 92(7). 3422–3430. 46 indexed citations
8.
Bohmanová, J., et al.. (2009). Genetic analysis of return over feed in Canadian Holsteins. animal. 4(2). 173–182. 2 indexed citations
9.
Bohmanová, J., S. Tsuruta, H.D. Norman, & T.J. Lawlor. (2008). Genotype by Environment Interaction Due to Heat Stress. Nursing times. 97(19). 12–3. 16 indexed citations
10.
Bohmanová, J., I. Misztal, S. Tsuruta, H.D. Norman, & T.J. Lawlor. (2008). Short Communication: Genotype by Environment Interaction Due to Heat Stress. Journal of Dairy Science. 91(2). 840–846. 84 indexed citations
11.
Bohmanová, J., F. Miglior, J. Jamrozik, I. Misztal, & P G Sullivan. (2008). Comparison of Random Regression Models with Legendre Polynomials and Linear Splines for Production Traits and Somatic Cell Score of Canadian Holstein Cows. Journal of Dairy Science. 91(9). 3627–3638. 82 indexed citations
12.
Bohmanová, J., et al.. (2008). Accounting for the effect of pregnancy in the Canadian test day model. Bulletin - International Bull Evaluation Service/Interbull bulletin. 40. 1 indexed citations
13.
Bohmanová, J., J. Jamrozik, F. Miglior, I. Misztal, & P G Sullivan. (2007). Legendre polynomials versus linear splines in the Canadian test-day model. Bulletin - International Bull Evaluation Service/Interbull bulletin. 42. 4 indexed citations
14.
Bohmanová, J., I. Misztal, & John B. Cole. (2007). Temperature-Humidity Indices as Indicators of Milk Production Losses due to Heat Stress. Journal of Dairy Science. 90(4). 1947–1956. 553 indexed citations breakdown →
15.
Miglior, F., A. Sewalem, J. Jamrozik, et al.. (2007). Genetic Analysis of Milk Urea Nitrogen and Lactose and Their Relationships with Other Production Traits in Canadian Holstein Cattle. Journal of Dairy Science. 90(5). 2468–2479. 174 indexed citations
16.
Misztal, I., et al.. (2006). Regional differences in heat stress in U.S. Holsteins.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 1–11. 10 indexed citations
17.
Misztal, I., J. Bohmanová, Matheus de Freitas Souza, et al.. (2006). ISSUES IN GENETIC EVALUATION OF DAIRY CATTLE FOR HEAT TOLERANCE. 1–12. 8 indexed citations
18.
Bertrand, J. K., I. Misztal, Kelly R. Robbins, J. Bohmanová, & S. Tsuruta. (2006). Implementation of random regression models for large scale evaluations for growth in beef cattle.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 3–4. 6 indexed citations
19.
Bohmanová, J., I. Misztal, S. Tsuruta, H.D. Norman, & T.J. Lawlor. (2005). National genetic evaluation of milk yield for heat tolerance of United States Holsteins. Bulletin - International Bull Evaluation Service/Interbull bulletin. 160. 43 indexed citations
20.
Přibylová, Jaroslava, et al.. (2004). Breeding value for own growth of beef bulls in performance-test station. 22(2). 10 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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