Benoît Loup

411 total citations
30 papers, 295 citations indexed

About

Benoît Loup is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Benoît Loup has authored 30 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Benoît Loup's work include Hormonal and reproductive studies (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Benoît Loup is often cited by papers focused on Hormonal and reproductive studies (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Benoît Loup collaborates with scholars based in France, United Kingdom and United States. Benoît Loup's co-authors include Marie‐Agnès Popot, Ludovic Bailly‐Chouriberry, Patrice Garcia, Paul Fowler, Corinne Cotinot, Béatrice Mandon‐Pepin, Vivian Delcourt, Yves Bonnaire, Zulin Zhang and S. M. Rhind and has published in prestigious journals such as Analytical Chemistry, Journal of Virology and Scientific Reports.

In The Last Decade

Benoît Loup

30 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Loup France 11 110 82 52 33 30 30 295
Xuan G. Luong United States 8 41 0.4× 150 1.8× 56 1.1× 26 0.8× 21 0.7× 9 325
A. Berrini Italy 13 258 2.3× 165 2.0× 78 1.5× 21 0.6× 41 1.4× 39 570
Tannia Gracia United States 9 175 1.6× 260 3.2× 48 0.9× 12 0.4× 15 0.5× 10 550
Ye Bi China 12 41 0.4× 228 2.8× 25 0.5× 41 1.2× 17 0.6× 18 547
Helga Sauerwein Germany 10 46 0.4× 87 1.1× 175 3.4× 16 0.5× 28 0.9× 12 447
Samir Raychoudhury United States 14 172 1.6× 153 1.9× 30 0.6× 20 0.6× 12 0.4× 27 534
Carlos Gamarra‐Luques Argentina 13 60 0.5× 74 0.9× 46 0.9× 22 0.7× 12 0.4× 29 412
Alexander J. Yoon United States 10 61 0.6× 263 3.2× 5 0.1× 21 0.6× 33 1.1× 15 528
Peter Christiansen Denmark 4 157 1.4× 49 0.6× 17 0.3× 5 0.2× 25 0.8× 6 351
Maryam Akhavan Taheri Iran 10 44 0.4× 121 1.5× 11 0.2× 12 0.4× 5 0.2× 28 362

Countries citing papers authored by Benoît Loup

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Loup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Loup

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Loup. A scholar is included among the top collaborators of Benoît Loup 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 Benoît Loup. Benoît Loup 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.
Delcourt, Vivian, et al.. (2025). Convolutional Neural Networks Assisted Peak Classification in Targeted LC-HRMS/MS for Equine Doping Control Screening Analyses. Analytical Chemistry. 97(6). 3236–3241. 2 indexed citations
2.
Loup, Benoît, Adam Cawley, Vivian Delcourt, et al.. (2024). Bayesian Individual Limits for IGF‐1 Monitoring in Equine Plasma: Implementation in the Equine Biological Passport. Drug Testing and Analysis. 17(7). 989–996. 1 indexed citations
3.
Loup, Benoît, François André, Nicolas Leuenberger, et al.. (2024). New Transcriptomic Biomarkers for Detection of the Recombinant Human Erythropoietin (rHuEPO) MirCERA in Horses. Drug Testing and Analysis. 17(7). 1078–1087. 2 indexed citations
4.
5.
Delcourt, Vivian, François Bécher, Patrice Garcia, et al.. (2023). High‐throughput untargeted screening of biotherapeutic macromolecules in equine plasma by UHPLC‐HRMS/MS: Application to monoclonal antibodies and Fc‐fusion proteins for doping control. Drug Testing and Analysis. 16(2). 199–209. 4 indexed citations
6.
Dervilly, Gaud, Benoît Loup, Vivian Delcourt, et al.. (2023). Performance assessment of an equine metabolomics model for screening a range of anabolic agents. Metabolomics. 19(4). 38–38. 5 indexed citations
7.
Loup, Benoît, et al.. (2022). BPA disrupts meiosis I in oogonia by acting on pathways including cell cycle regulation, meiosis initiation and spindle assembly. Reproductive Toxicology. 111. 166–177. 10 indexed citations
8.
Delcourt, Vivian, Patrice Garcia, Benjamin Chabot, et al.. (2022). TB500/TB1000 and SGF1000: A scientific approach for a better understanding of misbranded and adulterated drugs. Drug Testing and Analysis. 15(4). 458–464. 2 indexed citations
9.
Garcia, Patrice, et al.. (2021). Long‐term detection of clodronate in equine plasma by liquid chromatography–tandem mass spectrometry. Drug Testing and Analysis. 13(8). 1527–1534. 3 indexed citations
10.
11.
Garcia, Patrice, et al.. (2020). An innovative derivatization‐free IC‐MS/MS method for the detection of bisphosphonates in horse plasma. Drug Testing and Analysis. 12(10). 1452–1461. 8 indexed citations
12.
Loup, Benoît, Patrice Garcia, Marie‐Agnès Popot, et al.. (2017). Liquid chromatography – high resolution mass spectrometry-based metabolomic approach for the detection of Continuous Erythropoiesis Receptor Activator effects in horse doping control. Journal of Chromatography A. 1521. 90–99. 17 indexed citations
13.
14.
Bailly‐Chouriberry, Ludovic, et al.. (2017). RNA sample preparation applied to gene expression profiling for the horse biological passport. Drug Testing and Analysis. 9(9). 1448–1455. 8 indexed citations
15.
Lea, Richard G., Maria R. Amezaga, Benoît Loup, et al.. (2016). The fetal ovary exhibits temporal sensitivity to a ‘real-life’ mixture of environmental chemicals. Scientific Reports. 6(1). 22279–22279. 40 indexed citations
16.
Jouneau, Luc, Céline Urien, Mickaël Bourge, et al.. (2013). Dendritic Cell Subtypes from Lymph Nodes and Blood Show Contrasted Gene Expression Programs upon Bluetongue Virus Infection. Journal of Virology. 87(16). 9333–9343. 10 indexed citations
17.
Rhind, S. M., C. E. Kyle, Zulin Zhang, et al.. (2010). Maternal and fetal tissue accumulation of selected endocrine disrupting compounds (EDCs) following exposure to sewage sludge-treated pastures before or after conception. Journal of Environmental Monitoring. 12(8). 1582–1582. 40 indexed citations
18.
Rhind, S. M., Neil P. Evans, Michelle Bellingham, et al.. (2010). Effects of environmental pollutants on the reproduction and welfare of ruminants. animal. 4(7). 1227–1239. 42 indexed citations
19.
Siah, Ahmed, et al.. (2007). Receptor activated C kinase is down-regulated in the male gonad of the marine bivalve mollusc Mya arenaria exposed to tributyltin (TBT). Aquatic Toxicology. 83(4). 295–305. 23 indexed citations
20.

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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