A. Fleming

1.6k total citations · 1 hit paper
35 papers, 1.1k citations indexed

About

A. Fleming is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, A. Fleming has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 19 papers in Agronomy and Crop Science and 11 papers in Animal Science and Zoology. Recurrent topics in A. Fleming's work include Genetic and phenotypic traits in livestock (23 papers), Ruminant Nutrition and Digestive Physiology (10 papers) and Effects of Environmental Stressors on Livestock (9 papers). A. Fleming is often cited by papers focused on Genetic and phenotypic traits in livestock (23 papers), Ruminant Nutrition and Digestive Physiology (10 papers) and Effects of Environmental Stressors on Livestock (9 papers). A. Fleming collaborates with scholars based in Canada, United States and Italy. A. Fleming's co-authors include F. Miglior, Christine F. Baes, F. Malchiodi, Franco J. Vaccarino, Luiz F. Brito, Pauline Martin, Flávio S. Schenkel, Christian Maltecca, Bonnie A. Mallard and V. Bonfatti and has published in prestigious journals such as Journal of Dairy Science, Investigative Ophthalmology & Visual Science and Physiology & Behavior.

In The Last Decade

A. Fleming

32 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A 100-Year Review: Identification and genetic selection of economically important traits in dairy cattle

2017 314 citations F. Miglior, A. Fleming et al. Journal of Dairy Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Fleming Canada	15	633	433	275	221	115	35	1.1k
C. Kühn Germany	22	820 1.3×	314 0.7×	248 0.9×	94 0.4×	116 1.0×	62	1.4k
Edward E. Custer United States	15	641 1.0×	1.0k 2.3×	159 0.6×	197 0.9×	19 0.2×	31	1.5k
K. K. Schillo United States	25	633 1.0×	932 2.2×	371 1.3×	109 0.5×	41 0.4×	55	1.6k
K.A. McLean United Kingdom	17	371 0.6×	172 0.4×	491 1.8×	120 0.5×	28 0.2×	33	820
Gabriela González‐Mariscal Mexico	25	323 0.5×	150 0.3×	561 2.0×	724 3.3×	199 1.7×	86	1.7k
S Okrasa Poland	16	164 0.3×	297 0.7×	78 0.3×	78 0.4×	29 0.3×	57	764
W. E. Berndtson United States	25	439 0.7×	503 1.2×	219 0.8×	68 0.3×	52 0.5×	62	1.9k
Larry S. Katz United States	20	369 0.6×	444 1.0×	191 0.7×	185 0.8×	12 0.1×	57	1.2k
George B. Rampacek United States	30	455 0.7×	961 2.2×	762 2.8×	134 0.6×	124 1.1×	99	2.7k
Tomomi TANAKA Japan	17	312 0.5×	468 1.1×	166 0.6×	86 0.4×	15 0.1×	66	800

Countries citing papers authored by A. Fleming

Since Specialization

Citations

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

Fields of papers citing papers by A. Fleming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fleming, A., et al.. (2025). Estimation of genetic parameters for milk mid-infrared-predicted methane production in Holstein dairy cattle. Journal of Dairy Science. 109(2). 1763–1774.

Bjelland, Douglas W., John J. Crowley, P.R. Amer, et al.. (2025). Development of a health subindex for genetic selection of bulls and cows in Canadian dairy operations. JDS Communications. 7(2). 210–215.

Amer, P.R., Kathleen A. Grant, John Crowley, et al.. (2025). Breeding for sustainability: Development of an index to reduce greenhouse gas in dairy cattle. animal. 19. 101491–101491.

Oliveira, Hinayah Rojas de, A. Fleming, F. Malchiodi, et al.. (2024). Development of genomic evaluation for methane efficiency in Canadian Holsteins. JDS Communications. 5(6). 756–760. 10 indexed citations

Malchiodi, F., J. Jamrozik, A. Fleming, et al.. (2020). Symposium review: Multiple-trait single-step genomic evaluation for hoof health. Journal of Dairy Science. 103(6). 5346–5353. 14 indexed citations

Oliveira, Hinayah Rojas de, Ferran Silva, A. Fleming, et al.. (2020). Genomic analyses for predicted milk fatty acid composition throughout lactation in North American Holstein cattle. Journal of Dairy Science. 103(7). 6318–6331. 20 indexed citations

Schenkel, Flávio S., et al.. (2019). Comparing the use of dry matter intake and residual feed intake to improve feed efficiency in Holstein cattle.. Bulletin - International Bull Evaluation Service/Interbull bulletin. 50–57. 1 indexed citations

Baes, Christine F., Bayode O. Makanjuola, F. Miglior, et al.. (2019). Symposium review: The genomic architecture of inbreeding: How homozygosity affects health and performance. Journal of Dairy Science. 102(3). 2807–2817. 50 indexed citations

Nayeri, Shadi, Flávio S. Schenkel, Pauline Martin, et al.. (2019). Estimation of genetic parameters for mid-infrared–predicted lactoferrin and milk fat globule size in Holstein cattle. Journal of Dairy Science. 103(3). 2487–2497. 3 indexed citations

10.

Nayeri, Shadi, Flávio S. Schenkel, A. Fleming, et al.. (2019). Genome-wide association analysis for β-hydroxybutyrate concentration in Milk in Holstein dairy cattle. BMC Genetics. 20(1). 58–58. 43 indexed citations

11.

Campos, G. de los, Robert J. Tempelman, Ana I. Vázquez, et al.. (2018). A landscape of the heritability of Fourier-transform infrared spectral wavelengths of milk samples by parity and lactation stage in Holstein cows. Journal of Dairy Science. 102(2). 1354–1363. 20 indexed citations

12.

Ngoc, Duy, A. Fleming, Flávio S. Schenkel, et al.. (2018). Genetic parameters of milk cholesterol content in Holstein cattle. Canadian Journal of Animal Science. 98(4). 714–722. 12 indexed citations

13.

Miglior, F., A. Fleming, F. Malchiodi, et al.. (2017). A 100-Year Review: Identification and genetic selection of economically important traits in dairy cattle. Journal of Dairy Science. 100(12). 10251–10271. 314 indexed citations breakdown →

14.

Fleming, A., Flávio S. Schenkel, F. Malchiodi, et al.. (2017). Variation in fat globule size in bovine milk and its prediction using mid-infrared spectroscopy. Journal of Dairy Science. 100(3). 1640–1649. 37 indexed citations

15.

Fleming, A., Flávio S. Schenkel, F. Malchiodi, et al.. (2017). Prediction of milk fatty acid content with mid-infrared spectroscopy in Canadian dairy cattle using differently distributed model development sets. Journal of Dairy Science. 100(6). 5073–5081. 46 indexed citations

16.

Bonfatti, V., A. Fleming, A. Koeck, & F. Miglior. (2017). Standardization of milk infrared spectra for the retroactive application of calibration models. Journal of Dairy Science. 100(3). 2032–2041. 25 indexed citations

17.

Schenkel, Flávio S., A. Fleming, A. Koeck, et al.. (2017). Genetic analysis of groups of mid-infrared predicted fatty acids in milk. Journal of Dairy Science. 100(6). 4731–4744. 29 indexed citations

18.

Malchiodi, F., A. Koeck, N. Chapinal, et al.. (2015). Genetic analyses of hoof lesions in Canadian Holsteins using an alternative contemporary group. Bulletin - International Bull Evaluation Service/Interbull bulletin. 6 indexed citations

19.

Richards, Frances M., et al.. (2006). Prediction Of Ophthalmic Effects In Man By Screening Drugs For The Optokinetic And Optomotor Responses In Zebrafish. Investigative Ophthalmology & Visual Science. 47(13). 2622–2622. 2 indexed citations

20.

Fleming, A., et al.. (2005). The effects of early rearing environment on the hormonal induction of maternal behavior in virgin rats. Hormones and Behavior. 48(5). 528–536. 33 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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