Matthew Fedoruk

2.0k total citations
27 papers, 541 citations indexed

About

Matthew Fedoruk is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Sociology and Political Science. According to data from OpenAlex, Matthew Fedoruk has authored 27 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Cell Biology and 6 papers in Sociology and Political Science. Recurrent topics in Matthew Fedoruk's work include Hormonal and reproductive studies (12 papers), Muscle metabolism and nutrition (11 papers) and Doping in Sports (6 papers). Matthew Fedoruk is often cited by papers focused on Hormonal and reproductive studies (12 papers), Muscle metabolism and nutrition (11 papers) and Doping in Sports (6 papers). Matthew Fedoruk collaborates with scholars based in United States, Canada and Germany. Matthew Fedoruk's co-authors include Colleen C. Nelson, Jim L. Rupert, Pepita Gimenez‐Bonafé, Martin Gleave, Jody Ralph, Majid Akbari, Susan Ettinger, Christopher M. Butler, Paul S. Rennie and Mario Thevis and has published in prestigious journals such as Sports Medicine, Toxicology and Applied Pharmacology and Frontiers in Physiology.

In The Last Decade

Matthew Fedoruk

26 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Fedoruk United States 12 191 136 117 94 73 27 541
Satoko Kakiuchi-Kiyota United States 15 249 1.3× 39 0.3× 27 0.2× 29 0.3× 117 1.6× 24 534
Jenny J. Schulze Sweden 15 167 0.9× 515 3.8× 258 2.2× 63 0.7× 12 0.2× 28 645
Sarah Chouinard Canada 11 354 1.9× 233 1.7× 35 0.3× 157 1.7× 17 0.2× 12 767
Jeffrey D. Kearbey United States 12 307 1.6× 475 3.5× 139 1.2× 260 2.8× 9 0.1× 16 895
Karen A. Veverka United States 12 241 1.3× 154 1.1× 39 0.3× 116 1.2× 11 0.2× 35 610
Tian Zhang China 17 341 1.8× 13 0.1× 81 0.7× 59 0.6× 31 0.4× 45 742
Faris Azzouni United States 9 170 0.9× 213 1.6× 30 0.3× 85 0.9× 18 0.2× 15 629
F Wright France 17 358 1.9× 329 2.4× 44 0.4× 327 3.5× 26 0.4× 34 907
Jennifer E. Foreman United States 16 453 2.4× 23 0.2× 99 0.8× 65 0.7× 97 1.3× 30 794
Tom Moran Ireland 9 206 1.1× 61 0.4× 31 0.3× 56 0.6× 12 0.2× 31 645

Countries citing papers authored by Matthew Fedoruk

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Fedoruk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Fedoruk

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Fedoruk. A scholar is included among the top collaborators of Matthew Fedoruk 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 Matthew Fedoruk. Matthew Fedoruk 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.
2.
Sobolevsky, Tim, Matthew Fedoruk, Frank Dellanna, et al.. (2024). Long‐Term Excretion of Roxadustat in Urine. Drug Testing and Analysis. 17(7). 1088–1092. 2 indexed citations
3.
Rulison, Kelly L., et al.. (2024). Doping Prevalence among U.S. Elite Athletes Subject to Drug Testing under the World Anti-Doping Code. Sports Medicine - Open. 10(1). 57–57. 7 indexed citations
4.
Lewis, Laura A., et al.. (2024). Comparison of Microcapillary Blood Sampling Devices for Use in Anti‐Doping. Drug Testing and Analysis. 17(8). 1145–1149. 2 indexed citations
5.
Sobolevsky, Tim, Katja Walpurgis, Matthew Fedoruk, et al.. (2023). Detection of capromorelin in urine following oral and dermal routes of administration. Drug Testing and Analysis. 15(11-12). 1449–1453. 4 indexed citations
6.
Lewis, Laura A., et al.. (2023). Application of micro capillary blood sampling in an anti‐doping setting. Drug Testing and Analysis. 16(8). 835–840. 10 indexed citations
7.
Wagoner, Ryan M. Van, et al.. (2021). Generic Pharmaceuticals as a Source of Diuretic Contamination in Athletes Subject to Sport Drug Testing. Frontiers in Sports and Active Living. 3. 692244–692244. 10 indexed citations
8.
Fedoruk, Matthew, et al.. (2021). Performance-Enhancing Drug Use in Recreational Athletes.. American family physician. 103(4). 203–204. 2 indexed citations
9.
Beharry, Adam W., et al.. (2019). Applying Machine Learning Techniques to Advance Anti-Doping. 7(2). 1–9. 5 indexed citations
10.
Miller, Geoffrey D., et al.. (2019). Investigating oral fluid and exhaled breath as alternative matrices for anti-doping testing: Analysis of 521 matched samples. Journal of Pharmaceutical and Biomedical Analysis. 176. 112810–112810. 11 indexed citations
11.
Fedoruk, Matthew, et al.. (2019). Essential Features of Third-Party Certification Programs for Dietary Supplements: A Consensus Statement. Current Sports Medicine Reports. 18(5). 178–182. 17 indexed citations
12.
González, Juan Marcos, F. Reed Johnson, Matthew Fedoruk, Joshua Posner, & Larry D. Bowers. (2018). Trading Health Risks for Glory: A Reformulation of the Goldman Dilemma. Sports Medicine. 48(8). 1963–1969. 6 indexed citations
13.
Hopker, James, Yorck Olaf Schumacher, Matthew Fedoruk, et al.. (2018). Athlete Performance Monitoring in Anti-Doping. Frontiers in Physiology. 9. 232–232. 20 indexed citations
14.
Schneider, Angela, Matthew Fedoruk, & Jim L. Rupert. (2012). Human genetic variation: New challenges and opportunities for doping control. Journal of Sports Sciences. 30(11). 1117–1129. 4 indexed citations
15.
Giles, Luisa V., Darren E. R. Warburton, Ben T. Esch, et al.. (2011). The effects of exercise in hypoxic and normoxic conditions on endothelin-1 and arterial compliance. Journal of Sports Sciences. 30(3). 261–267. 4 indexed citations
16.
Fedoruk, Matthew & Jim L. Rupert. (2008). Myostatin inhibition: a potential performance enhancement strategy?. Scandinavian Journal of Medicine and Science in Sports. 18(2). 123–131. 43 indexed citations
17.
Fedoruk, Matthew, et al.. (2008). Keeping Pace with ACE. Sports Medicine. 38(12). 1065–1079. 23 indexed citations
18.
Guns, Emma S. Tomlinson, Xiaowei Xie, Matthew Fedoruk, et al.. (2005). pH modulation using CsCl enhances therapeutic effects of vitamin D in LNCaP tumor bearing mice. The Prostate. 64(3). 316–322. 5 indexed citations
19.
Gimenez‐Bonafé, Pepita, Matthew Fedoruk, Majid Akbari, et al.. (2004). YB‐1 is upregulated during prostate cancer tumor progression and increases P‐glycoprotein activity. The Prostate. 59(3). 337–349. 145 indexed citations
20.
Fedoruk, Matthew, Pepita Gimenez‐Bonafé, Emma S. Tomlinson Guns, Lawrence D. Mayer, & Colleen C. Nelson. (2003). P‐glycoprotein increases the efflux of the androgen dihydrotestosterone and reduces androgen responsive gene activity in prostate tumor cells. The Prostate. 59(1). 77–90. 29 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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