Amélie Vanlierde

977 total citations
32 papers, 711 citations indexed

About

Amélie Vanlierde is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, Amélie Vanlierde has authored 32 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Agronomy and Crop Science, 17 papers in Animal Science and Zoology and 17 papers in Genetics. Recurrent topics in Amélie Vanlierde's work include Genetic and phenotypic traits in livestock (16 papers), Effects of Environmental Stressors on Livestock (15 papers) and Ruminant Nutrition and Digestive Physiology (14 papers). Amélie Vanlierde is often cited by papers focused on Genetic and phenotypic traits in livestock (16 papers), Effects of Environmental Stressors on Livestock (15 papers) and Ruminant Nutrition and Digestive Physiology (14 papers). Amélie Vanlierde collaborates with scholars based in Belgium, Ireland and Switzerland. Amélie Vanlierde's co-authors include Frédéric Dehareng, Nicolas Gengler, Hélène Soyeurt, Éric Froidmont, Pierre Dardenne, Marie-Laure Vanrobays, Clément Grelet, Cécile Martin, Frédéric Colinet and Catherine Bastin and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Dairy Science and Journal of the Science of Food and Agriculture.

In The Last Decade

Amélie Vanlierde

30 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amélie Vanlierde Belgium 14 531 472 405 117 70 32 711
Päivi Mäntysaari Finland 18 642 1.2× 531 1.1× 331 0.8× 18 0.2× 56 0.8× 56 795
Mickaël Brochard France 15 294 0.6× 485 1.0× 210 0.5× 78 0.7× 45 0.6× 28 696
Stephen Conroy Ireland 12 195 0.4× 256 0.5× 227 0.6× 8 0.1× 49 0.7× 24 423
T. Pabiou Ireland 15 263 0.5× 455 1.0× 222 0.5× 9 0.1× 33 0.5× 51 561
R. Prendiville Ireland 12 443 0.8× 362 0.8× 175 0.4× 7 0.1× 89 1.3× 25 602
Alessandro Crovetti Italy 11 57 0.1× 148 0.3× 160 0.4× 43 0.4× 28 0.4× 33 322
F. R. B. Ribeiro United States 10 189 0.4× 186 0.4× 245 0.6× 10 0.1× 16 0.2× 19 365
Dominique Graviou France 12 296 0.6× 69 0.1× 90 0.2× 31 0.3× 20 0.3× 19 387
Stephanie Lam Canada 10 118 0.2× 142 0.3× 104 0.3× 16 0.1× 28 0.4× 26 296
Binyam S. Dagnachew Norway 9 124 0.2× 248 0.5× 80 0.2× 27 0.2× 9 0.1× 19 337

Countries citing papers authored by Amélie Vanlierde

Since Specialization
Citations

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

Fields of papers citing papers by Amélie Vanlierde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amélie Vanlierde

This figure shows the co-authorship network connecting the top 25 collaborators of Amélie Vanlierde. A scholar is included among the top collaborators of Amélie Vanlierde 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 Amélie Vanlierde. Amélie Vanlierde 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.
Vanlierde, Amélie, Didier Boichard, Rachel Lefebvre, et al.. (2024). Combining short-term breath measurements to develop methane prediction equations from cow milk mid-infrared spectra. animal. 18(7). 101200–101200. 3 indexed citations
2.
Cheng, Zhangrui, C.P. Ferris, M.A. Crowe, et al.. (2023). Hepatic Global Transcriptomic Profiles of Holstein Cows According to Parity Reveal Age-Related Changes in Early Lactation. International Journal of Molecular Sciences. 24(12). 9906–9906. 3 indexed citations
3.
Negussie, Enyew, Óscar González-Recio, Mara Battagin, et al.. (2022). Integrating heterogeneous across-country data for proxy-based random forest prediction of enteric methane in dairy cattle. Journal of Dairy Science. 105(6). 5124–5140. 12 indexed citations
4.
Coppa, Mauro, et al.. (2022). Methodological guidelines: Cow milk mid-infrared spectra to predict reference enteric methane data collected by an automated head-chamber system. Journal of Dairy Science. 105(11). 9271–9285. 8 indexed citations
5.
Picard, Fabienne, Yvanne Rochette, Amélie Vanlierde, et al.. (2021). Influence of measurement method of methane on the performances of faecal NIRS models in cattle. SPIRE - Sciences Po Institutional REpository.
6.
Grelet, Clément, Éric Froidmont, Leslie Foldager, et al.. (2020). Potential of milk mid-infrared spectra to predict nitrogen use efficiency of individual dairy cows in early lactation. Journal of Dairy Science. 103(5). 4435–4445. 33 indexed citations
7.
Grelet, Clément, Pierre Dardenne, Hélène Soyeurt, et al.. (2020). Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions. Methods. 186. 97–111. 60 indexed citations
8.
Vanlierde, Amélie. (2019). Development of equations to predict methane eructed by lactating cows from milk mid-infrared spectra. Open Repository and Bibliography (University of Liège). 1 indexed citations
9.
Dohme‐Meier, F., Amélie Vanlierde, Florian Grandl, et al.. (2019). Persistence of differences between dairy cows categorized as low or high methane emitters, as estimated from milk mid-infrared spectra and measured by GreenFeed. Journal of Dairy Science. 102(12). 11751–11765. 18 indexed citations
10.
Schwarm, Angela, F. Dohme‐Meier, A. Münger, et al.. (2019). Accuracy of methane emissions predicted from milk mid-infrared spectra and measured by laser methane detectors in Brown Swiss dairy cows. Journal of Dairy Science. 103(2). 2024–2039. 18 indexed citations
11.
Grelet, Clément, Amélie Vanlierde, Miel Hostens, et al.. (2018). Potential of milk mid-IR spectra to predict metabolic status of cows through blood components and an innovative clustering approach. animal. 13(3). 649–658. 56 indexed citations
12.
13.
Marchitelli, Cinzia, Federica Signorelli, F. Napolitano, et al.. (2017). Expression profiles of immune genes in milk somatic cells and MIR predicted mineral contents in milk as indicators of mastitis. Open Repository and Bibliography (University of Liège). 2 indexed citations
14.
Grelet, Clément, Juan Antonio Fernández Pierna, Pierre Dardenne, et al.. (2017). Standardization of milk mid-infrared spectrometers for the transfer and use of multiple models. Journal of Dairy Science. 100(10). 7910–7921. 46 indexed citations
15.
Vanlierde, Amélie, Clément Grelet, Nicolas Gengler, et al.. (2016). Potential of milk MIR spectra to develop new health phenotypes for dairy cows in the GplusE project. Open Repository and Bibliography (University of Liège). 1 indexed citations
16.
Gengler, Nicolas, Hélène Soyeurt, Frédéric Dehareng, et al.. (2016). Capitalizing on fine milk composition for breeding and management of dairy cows. Journal of Dairy Science. 99(5). 4071–4079. 68 indexed citations
17.
Vanlierde, Amélie, Marie-Laure Vanrobays, Frédéric Dehareng, et al.. (2015). Hot topic: Innovative lactation-stage-dependent prediction of methane emissions from milk mid-infrared spectra. Journal of Dairy Science. 98(8). 5740–5747. 75 indexed citations
18.
Vanderick, Sylvie, Marie-Laure Vanrobays, Amélie Vanlierde, et al.. (2014). Consequences of Selection for Environmental Impact Traits in Dairy Cows. Open Repository and Bibliography (University of Liège). 40. 7 indexed citations
19.
Vanrobays, Marie-Laure, Amélie Vanlierde, Frédéric Dehareng, et al.. (2013). Genetic parameters for methane emissions predicted from milk mid-infrared spectra in dairy cows. Journal of Dairy Science. 91. 6 indexed citations
20.
Dehareng, Frédéric, Éric Froidmont, Hélène Soyeurt, et al.. (2012). Potential use of milk mid-infrared spectra to predict individual methane emission of dairy cows. animal. 6(10). 1694–1701. 105 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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