Olivier de Hon

1.4k total citations
30 papers, 922 citations indexed

About

Olivier de Hon is a scholar working on Endocrinology, Diabetes and Metabolism, Sociology and Political Science and Cell Biology. According to data from OpenAlex, Olivier de Hon has authored 30 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 15 papers in Sociology and Political Science and 7 papers in Cell Biology. Recurrent topics in Olivier de Hon's work include Hormonal and reproductive studies (21 papers), Doping in Sports (15 papers) and Muscle metabolism and nutrition (7 papers). Olivier de Hon is often cited by papers focused on Hormonal and reproductive studies (21 papers), Doping in Sports (15 papers) and Muscle metabolism and nutrition (7 papers). Olivier de Hon collaborates with scholars based in Netherlands, United Kingdom and Switzerland. Olivier de Hon's co-authors include Harm Kuipers, Maarten van Bottenburg, Hidde J. Haisma, Diederik L. Smit, Martin den Heijer, Willem de Ronde, Madelon M. Buijs, Peter Peeling, L M Castell and Wim Derave and has published in prestigious journals such as Scientific Reports, Sports Medicine and Human Reproduction.

In The Last Decade

Olivier de Hon

29 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olivier de Hon Netherlands 16 468 429 283 158 99 30 922
Nick A. Evans United Kingdom 7 608 1.3× 184 0.4× 220 0.8× 164 1.0× 32 0.3× 9 832
Michael Petrou Cyprus 15 343 0.7× 110 0.3× 233 0.8× 117 0.7× 26 0.3× 29 795
H Haupt United States 7 285 0.6× 44 0.1× 144 0.5× 61 0.4× 24 0.2× 15 592
R. Matthew Coward United States 22 489 1.0× 77 0.2× 79 0.3× 419 2.7× 103 1.0× 68 1.6k
Eduard Baladía Spain 9 77 0.2× 60 0.1× 121 0.4× 27 0.2× 28 0.3× 56 487
Giuseppe Cocimano Italy 10 167 0.4× 43 0.1× 70 0.2× 106 0.7× 35 0.4× 24 444
Elena Vorona Germany 10 263 0.6× 50 0.1× 73 0.3× 216 1.4× 148 1.5× 14 529
Rudy M. Haddad United States 6 802 1.7× 48 0.1× 168 0.6× 288 1.8× 50 0.5× 6 953
María V. Úraga United States 4 630 1.3× 38 0.1× 132 0.5× 237 1.5× 40 0.4× 4 743
Leo Turner Australia 19 964 2.1× 57 0.1× 105 0.4× 367 2.3× 180 1.8× 33 1.5k

Countries citing papers authored by Olivier de Hon

Since Specialization
Citations

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

Fields of papers citing papers by Olivier de Hon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivier de Hon. 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 Olivier de Hon. The network helps show where Olivier de Hon may publish in the future.

Co-authorship network of co-authors of Olivier de Hon

This figure shows the co-authorship network connecting the top 25 collaborators of Olivier de Hon. A scholar is included among the top collaborators of Olivier de Hon 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 Olivier de Hon. Olivier de Hon 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.
Hoeks, Sanne E., Lucas T. van Eijk, Michel Struys, et al.. (2025). Effects of growth hormone and anabolic steroids, in critically ill patients admitted to the intensive care unit: a systematic review and meta-analysis. Scientific Reports. 15(1). 36856–36856.
2.
Smit, Diederik L., Nienke van Rein, Saskia le Cessie, et al.. (2023). Coagulation profiles during and after anabolic androgenic steroid use: data from the HAARLEM study. Research and Practice in Thrombosis and Haemostasis. 7(7). 102215–102215. 5 indexed citations
3.
Cruyff, Maarten, et al.. (2023). Doping prevalence and attitudes towards doping in Dutch elite sports. 2(2). 132–143. 3 indexed citations
4.
5.
Sagoe, Dominic, Maarten Cruyff, Owen Spendiff, et al.. (2021). Functionality of the Crosswise Model for Assessing Sensitive or Transgressive Behavior: A Systematic Review and Meta-Analysis. Frontiers in Psychology. 12. 655592–655592. 13 indexed citations
6.
Gleaves, John, Andrea Petróczi, Dirk Folkerts, et al.. (2021). Doping Prevalence in Competitive Sport: Evidence Synthesis with “Best Practice” Recommendations and Reporting Guidelines from the WADA Working Group on Doping Prevalence. Sports Medicine. 51(9). 1909–1934. 49 indexed citations
7.
Wardenaar, Floris C., et al.. (2020). Dutch Olympic and Non-Olympic Athletes Differ in Knowledge of and Attitudes Toward Third-party Supplement Testing. Journal of Dietary Supplements. 18(6). 646–654. 13 indexed citations
8.
Smit, Diederik L., Olivier de Hon, Bastiaan J. Venhuis, Martin den Heijer, & Willem de Ronde. (2019). Baseline characteristics of the HAARLEM study: 100 male amateur athletes using anabolic androgenic steroids. Scandinavian Journal of Medicine and Science in Sports. 30(3). 531–539. 48 indexed citations
9.
Causanilles, Ana, Dennis Vughs, Erik Emke, et al.. (2018). Wastewater-based tracing of doping use by the general population and amateur athletes. Analytical and Bioanalytical Chemistry. 410(6). 1793–1803. 27 indexed citations
10.
Pitsiladis, Yannis, et al.. (2017). A Holistic Antidoping Approach for a Fairer Future for Sport. Current Sports Medicine Reports. 16(4). 222–224. 7 indexed citations
11.
Hon, Olivier de & Maarten van Bottenburg. (2017). True Dopers or Negligent Athletes? An Analysis of Anti-Doping Rule Violations Reported to the World Anti-Doping Agency 2010–2012. Substance Use & Misuse. 52(14). 1932–1936. 15 indexed citations
12.
Heuberger, Jules A. A. C., Joris I. Rotmans, Pim Gal, et al.. (2017). Effects of erythropoietin on cycling performance of well trained cyclists: a double-blind, randomised, placebo-controlled trial. The Lancet Haematology. 4(8). e374–e386. 36 indexed citations
13.
Hon, Olivier de, Harm Kuipers, & Maarten van Bottenburg. (2014). Prevalence of Doping Use in Elite Sports: A Review of Numbers and Methods. Sports Medicine. 45(1). 57–69. 184 indexed citations
14.
Pieters, Toine & Olivier de Hon. (2013). [Faster, higher, stronger: knowledge about old and new doping substances].. PubMed. 157(28). A6450–A6450. 1 indexed citations
15.
Stubbe, Janine H., A.M.J. Chorus, Laurence E. Frank, Olivier de Hon, & P.G.M. van der Heijden. (2013). Prevalence of use of performance enhancing drugs by fitness centre members. Drug Testing and Analysis. 6(5). 434–438. 47 indexed citations
16.
Gronde, Toon van der, Olivier de Hon, Hidde J. Haisma, & Toine Pieters. (2013). Gene doping: an overview and current implications for athletes. British Journal of Sports Medicine. 47(11). 670–678. 29 indexed citations
17.
Hon, Olivier de, et al.. (2010). [Anabolic androgenic steroids in amateur sports in the Netherlands].. PubMed. 154. A2004–A2004. 8 indexed citations
18.
Pluim, Babette M, Olivier de Hon, J. Bart Staal, et al.. (2010). β2-Agonists and Physical Performance. Sports Medicine. 41(1). 39–57. 63 indexed citations
19.
Kuipers, H., et al.. (2008). Four weeks’ corticosteroid inhalation does not augment maximal power output in endurance athletes. British Journal of Sports Medicine. 42(11). 868–871. 29 indexed citations
20.
Haisma, Hidde J. & Olivier de Hon. (2006). Gene Doping. International Journal of Sports Medicine. 27(4). 257–266. 50 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nick A. Evans Breakdown of academic impact, for papers by Michael Petrou Breakdown of academic impact, for papers by H Haupt Breakdown of academic impact, for papers by R. Matthew Coward Breakdown of academic impact, for papers by Eduard Baladía Breakdown of academic impact, for papers by Giuseppe Cocimano Breakdown of academic impact, for papers by Elena Vorona Breakdown of academic impact, for papers by Rudy M. Haddad Breakdown of academic impact, for papers by María V. Úraga Breakdown of academic impact, for papers by Leo Turner
Rankless by CCL
2026