A. Horadagoda

1.0k total citations
17 papers, 809 citations indexed

About

A. Horadagoda is a scholar working on Agronomy and Crop Science, Genetics and Molecular Biology. According to data from OpenAlex, A. Horadagoda has authored 17 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Agronomy and Crop Science, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in A. Horadagoda's work include Ruminant Nutrition and Digestive Physiology (13 papers), Genetic and phenotypic traits in livestock (5 papers) and Reproductive Physiology in Livestock (4 papers). A. Horadagoda is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (13 papers), Genetic and phenotypic traits in livestock (5 papers) and Reproductive Physiology in Livestock (4 papers). A. Horadagoda collaborates with scholars based in Australia, United Kingdom and Netherlands. A. Horadagoda's co-authors include H. Gibbs, P.D. Eckersall, K. S. Nandra, N. U. Horadagoda, S. W. J. Reid, I. Barchia, S.C. García, W. J. Fulkerson, J.S. Neal and M. R. Islam and has published in prestigious journals such as Journal of Dairy Science, Animal Feed Science and Technology and Scandinavian Journal of Immunology.

In The Last Decade

A. Horadagoda

17 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Horadagoda Australia 13 449 325 158 106 97 17 809
Shane Gadberry United States 15 466 1.0× 133 0.4× 223 1.4× 58 0.5× 47 0.5× 71 711
M. E. Branine United States 16 596 1.3× 229 0.7× 406 2.6× 47 0.4× 52 0.5× 53 931
S. J. Bartle United States 18 637 1.4× 228 0.7× 496 3.1× 49 0.5× 63 0.6× 55 1.0k
M. E. Hubbert United States 12 536 1.2× 292 0.9× 459 2.9× 26 0.2× 59 0.6× 29 930
S.G. Coelho Brazil 14 478 1.1× 244 0.8× 348 2.2× 34 0.3× 66 0.7× 96 790
L.O. Ely United States 18 916 2.0× 193 0.6× 315 2.0× 89 0.8× 130 1.3× 57 1.2k
J. M. D. Enemark Denmark 13 587 1.3× 345 1.1× 241 1.5× 9 0.1× 68 0.7× 20 918
Mark McGee Ireland 21 559 1.2× 303 0.9× 449 2.8× 21 0.2× 43 0.4× 64 1.2k
Dennis R. Brink United States 15 681 1.5× 113 0.3× 360 2.3× 51 0.5× 62 0.6× 37 872
H. Chester-Jones United States 22 916 2.0× 689 2.1× 444 2.8× 26 0.2× 81 0.8× 65 1.6k

Countries citing papers authored by A. Horadagoda

Since Specialization
Citations

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

Fields of papers citing papers by A. Horadagoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Horadagoda

This figure shows the co-authorship network connecting the top 25 collaborators of A. Horadagoda. A scholar is included among the top collaborators of A. Horadagoda 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 A. Horadagoda. A. Horadagoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Islam, M. R., S.C. García, A. Horadagoda, K.L. Kerrisk, & Cameron Clark. (2019). Management strategies for forage rape (Brassica napus L. cv Goliath): Impact on dry‐matter yield, plant reserves, morphology and nutritive value. Grass and Forage Science. 75(1). 96–110. 6 indexed citations
2.
Clark, Cameron, Ravneet Kaur, H.M. Golder, et al.. (2018). The effect of temperate or tropical pasture grazing state and grain-based concentrate allocation on dairy cattle production and behavior. Journal of Dairy Science. 101(6). 5454–5465. 14 indexed citations
3.
Clark, Cameron, A. Horadagoda, K.L. Kerrisk, et al.. (2014). Grazing Soybean to Increase Voluntary Cow Traffic in a Pasture-based Automatic Milking System. Asian-Australasian Journal of Animal Sciences. 27(3). 422–430. 8 indexed citations
4.
Islam, M. R., S.C. García, & A. Horadagoda. (2012). Effects of residual nitrogen, nitrogen fertilizer, sowing date and harvest time on yield and nutritive value of forage rape. Animal Feed Science and Technology. 177(1-2). 52–64. 9 indexed citations
5.
6.
Kaur, Ravneet, S.C. García, A. Horadagoda, & W. J. Fulkerson. (2010). Evaluation of rumen probe for continuous monitoring of rumen pH, temperature and pressure. Animal Production Science. 50(2). 98–104. 26 indexed citations
7.
Horadagoda, A., W. J. Fulkerson, K. S. Nandra, & I. Barchia. (2009). Grazing preferences by dairy cows for 14 forage species. Animal Production Science. 49(7). 586–594. 33 indexed citations
8.
Kaur, Ramandeep, K. S. Nandra, S.C. García, WJ Fulkerson, & A. Horadagoda. (2008). Efficiency of utilisation of different diets with contrasting forages and concentrate when fed to sheep in a discontinuous feeding pattern. Livestock Science. 119(1-3). 77–86. 10 indexed citations
9.
Horadagoda, A., WJ Fulkerson, I. Barchia, Robin Dobos, & K. S. Nandra. (2007). The effect of grain species, processing and time of feeding on the efficiency of feed utilization and microbial protein synthesis in sheep. Livestock Science. 114(1). 117–126. 12 indexed citations
10.
Fulkerson, W. J., A. Horadagoda, J.S. Neal, I. Barchia, & K. S. Nandra. (2007). Nutritive value of forage species grown in the warm temperate climate of Australia for dairy cows: Herbs and grain crops. Livestock Science. 114(1). 75–83. 49 indexed citations
11.
García, S.C., et al.. (2007). Feeding concentrates based on individual cow requirements improves the yield of milk solids in dairy cows grazing restricted pasture. Australian Journal of Experimental Agriculture. 47(5). 502–502. 20 indexed citations
12.
Fulkerson, WJ, J.S. Neal, Cameron Clark, et al.. (2006). Nutritive value of forage species grown in the warm temperate climate of Australia for dairy cows: Grasses and legumes. Livestock Science. 107(2-3). 253–264. 112 indexed citations
13.
Andrabi, S. M. H., et al.. (2005). In vivo assessment of the ability of condensed tannins to interfere with the digestibility of plant protein in sheep. Animal Feed Science and Technology. 122(1-2). 13–27. 18 indexed citations
14.
Horadagoda, N. U., et al.. (1999). Acute phase proteins in cattle: discrimination between acute and chronic inflammation. Veterinary Record. 144(16). 437–441. 292 indexed citations
15.
Alsemgeest, S.P.M., et al.. (1995). First Evidence for the Existence of Multiple Isoforms of Bovine Serum Amyloid‐A (apoSAA). Scandinavian Journal of Immunology. 41(4). 407–413. 27 indexed citations
16.
Horadagoda, A., et al.. (1994). Immediate responses in serum tnfα and acute phase protein concentrations to infection with Pasteurella haemolytica A1 in calves. Research in Veterinary Science. 57(1). 129–132. 84 indexed citations
17.
Horadagoda, A., P.D. Eckersall, S.P.M. Alsemgeest, & H. Gibbs. (1993). Purification and quantitative measurement of bovine serum amyloid-A. Research in Veterinary Science. 55(3). 317–325. 29 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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