Xavier de la Torre

3.4k total citations
160 papers, 2.7k citations indexed

About

Xavier de la Torre is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology and Cell Biology. According to data from OpenAlex, Xavier de la Torre has authored 160 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Endocrinology, Diabetes and Metabolism, 41 papers in Animal Science and Zoology and 30 papers in Cell Biology. Recurrent topics in Xavier de la Torre's work include Hormonal and reproductive studies (102 papers), Pharmacological Effects and Assays (41 papers) and Muscle metabolism and nutrition (28 papers). Xavier de la Torre is often cited by papers focused on Hormonal and reproductive studies (102 papers), Pharmacological Effects and Assays (41 papers) and Muscle metabolism and nutrition (28 papers). Xavier de la Torre collaborates with scholars based in Italy, Switzerland and Germany. Xavier de la Torre's co-authors include Francesco Botrè, Monica Mazzarino, Jordi Segura, Sabina Strano Rossi, Amy B. Cadwallader, Francesco Molaioni, Maria Kristina Parr, Cristiana Colamonici, José A. Pascual and Simona Pichini and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Xavier de la Torre

156 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xavier de la Torre Italy 28 1.5k 636 625 587 484 160 2.7k
Koen Deventer Belgium 31 1.7k 1.1× 975 1.5× 709 1.1× 506 0.9× 460 1.0× 99 2.8k
Tiia Kuuranne Switzerland 30 1.3k 0.9× 1.2k 1.9× 419 0.7× 506 0.9× 767 1.6× 97 3.0k
Ute Mareck Germany 23 1.4k 1.0× 389 0.6× 515 0.8× 763 1.3× 304 0.6× 29 2.1k
Costas Georgakopoulos Greece 26 956 0.6× 599 0.9× 340 0.5× 419 0.7× 418 0.9× 95 1.9k
Peter Van Eenoo Belgium 37 2.7k 1.8× 1.3k 2.0× 1.2k 1.8× 938 1.6× 710 1.5× 174 4.4k
Sven Guddat Germany 24 840 0.6× 389 0.6× 324 0.5× 395 0.7× 259 0.5× 53 1.4k
Monica Mazzarino Italy 21 658 0.4× 329 0.5× 254 0.4× 245 0.4× 243 0.5× 77 1.4k
Andreas Thomas Germany 45 3.1k 2.1× 1.5k 2.3× 867 1.4× 1.6k 2.7× 1.4k 2.9× 229 5.8k
Emmie N. M. Ho China 21 551 0.4× 340 0.5× 300 0.5× 230 0.4× 446 0.9× 70 1.4k
Matthias Kamber Switzerland 26 841 0.6× 250 0.4× 243 0.4× 549 0.9× 263 0.5× 51 1.5k

Countries citing papers authored by Xavier de la Torre

Since Specialization
Citations

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

Fields of papers citing papers by Xavier de la Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xavier de la Torre. 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 Xavier de la Torre. The network helps show where Xavier de la Torre may publish in the future.

Co-authorship network of co-authors of Xavier de la Torre

This figure shows the co-authorship network connecting the top 25 collaborators of Xavier de la Torre. A scholar is included among the top collaborators of Xavier de la Torre 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 Xavier de la Torre. Xavier de la Torre 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.
Torre, Xavier de la, et al.. (2025). Clostebol Metabolism by Different Routes of Administration: Selection of Diagnostic Urinary Markers. Drug Testing and Analysis. 17(12). 2399–2410.
2.
Molaioni, Francesco, Nils E. Schlörer, Xavier de la Torre, et al.. (2025). Reduced and rearranged metabolite structures after metandienone administration: New promising metabolites for potential long-term detection. The Journal of Steroid Biochemistry and Molecular Biology. 253. 106801–106801. 1 indexed citations
4.
5.
Botrè, Francesco, et al.. (2022). Urinary excretion profile of prednisolone and prednisone after rectal administration: Significance in antidoping analysis. Drug Testing and Analysis. 14(11-12). 2007–2016. 2 indexed citations
6.
De‐Giorgio, Fabio, et al.. (2021). In vitro metabolic profile of mexedrone, a mephedrone analog, studied by high‐ and low‐resolution mass spectrometry. Drug Testing and Analysis. 14(2). 269–276. 7 indexed citations
7.
Mazzarino, Monica, et al.. (2021). Effects of the administration of miconazole by different routes on the biomarkers of the “steroidal module” of the Athlete Biological Passport. Drug Testing and Analysis. 13(10). 1712–1726. 6 indexed citations
8.
Torre, Xavier de la, et al.. (2021). Metabolomics workflow as a driven tool for rapid detection of metabolites in doping analysis. Development and validation. Rapid Communications in Mass Spectrometry. 36(2). e9217–e9217. 6 indexed citations
9.
10.
Botrè, Francesco, et al.. (2020). Carbon isotopic characterization of prednisolone and prednisone pharmaceutical formulations: Implications in antidoping analysis. Drug Testing and Analysis. 12(11-12). 1587–1598. 6 indexed citations
11.
Palermo, Amelia, et al.. (2020). Influence of Saw palmetto and Pygeum africana extracts on the urinary concentrations of endogenous anabolic steroids: Relevance to doping analysis. Phytomedicine Plus. 1(1). 100005–100005. 2 indexed citations
13.
Mazzarino, Monica, et al.. (2019). Urinary excretion profile of prednisone and prednisolone after different administration routes. Drug Testing and Analysis. 11(11-12). 1601–1614. 17 indexed citations
14.
Mazzarino, Monica, et al.. (2019). Detection of 5α‐reductase inhibitors by UPLC–MS/MS: Application to the definition of the excretion profile of dutasteride in urine. Drug Testing and Analysis. 11(11-12). 1737–1746. 6 indexed citations
15.
Mazzarino, Monica, et al.. (2018). A further insight into the metabolic profile of the nuclear receptor Rev‐erb agonist, SR9009. Drug Testing and Analysis. 10(11-12). 1670–1681. 16 indexed citations
16.
Mazzarino, Monica, et al.. (2018). Drug–drug interaction and doping: Effect of non‐prohibited drugs on the urinary excretion profile of methandienone. Drug Testing and Analysis. 10(10). 1554–1565. 8 indexed citations
17.
Torre, Xavier de la, et al.. (2017). Effect of non‐prohibited drugs on the phase II metabolic profile of morphine. An in vitro investigation for doping control purposes. Drug Testing and Analysis. 10(6). 984–994. 2 indexed citations
18.
Mazzarino, Monica, et al.. (2015). A multi-targeted liquid chromatography–mass spectrometry screening procedure for the detection in human urine of drugs non-prohibited in sport commonly used by the athletes. Journal of Pharmaceutical and Biomedical Analysis. 117. 47–60. 24 indexed citations
20.
Galésio, M., et al.. (2010). Improved ultrasonic‐based sample treatment for the screening of anabolic steroids by gas chromatography/mass spectrometry. Rapid Communications in Mass Spectrometry. 24(16). 2375–2385. 15 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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