Matthew Fedoruk
Impact in
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- Hormonal and reproductive studies
- Toxicology top 10%
Papers in
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- Hormonal and reproductive studies 11
- Cell Biology 11
- Muscle metabolism and nutrition 11
- Co-authors
- Colleen C. Nelson (3 shared papers)Jim L. Rupert (4 shared papers)Pepita Gimenez‐Bonafé (2 shared papers)Martin Gleave (2 shared papers)Jody Ralph (1 shared paper)Majid Akbari (1 shared paper)Susan Ettinger (1 shared paper)Paul S. Rennie (1 shared paper)
- Journals
- Drug Testing and Analysis (8 papers)The Prostate (3 papers)Sports Medicine (2 papers)Journal of Sports Sciences (2 papers)Frontiers in Physiology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Matthew Fedoruk
27 papers receiving 530 citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 121
- Toxicology 23
- Cell Biology 112
- Health, Toxicology and Mutagenesis 71
- Genetics 84
Countries citing papers authored by Matthew Fedoruk
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
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-authors
The 25 scholars most cited alongside Matthew Fedoruk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 146 | |
| 2 | 2002 | 84 | |
| 3 | 2021 | 46 | |
| 4 | 2008 | 43 | |
| 5 | 2003 | 29 | |
| 6 | 2008 | 24 | |
| 7 | 2020 | 24 | |
| 8 | 2018 | 20 | |
| 9 | 2019 | 19 | |
| 10 | 2022 | 16 | |
| 11 | Treating the elite athlete: anti-doping information for the health professional. | 2015 | 14 |
| 12 | 2023 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2018 | 6 | |
| 18 | Applying Machine Learning Techniques to Advance Anti-Doping | 2019 | 5 |
| 19 | 2024 | 5 | |
| 20 | 2005 | 5 |
About Matthew Fedoruk
Matthew Fedoruk is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Sociology and Political Science, Hematology and Pharmacology, having authored 27 papers that have together received 561 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (11 papers), Hormonal and reproductive studies (11 papers), Doping in Sports (6 papers), Erythropoietin and Anemia Treatment (4 papers), Pharmacology and Obesity Treatment (3 papers), Genetics and Physical Performance (3 papers), Pharmacological Effects and Assays (2 papers) and Blood transfusion and management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (121 citations), Toxicology (23 citations), Cell Biology (112 citations), Health, Toxicology and Mutagenesis (71 citations) and Genetics (84 citations). Matthew Fedoruk has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Colleen C. Nelson, Jim L. Rupert, Pepita Gimenez‐Bonafé, Martin Gleave, Jody Ralph, Majid Akbari, Susan Ettinger, Paul S. Rennie, Mario Thevis and Christopher M. Butler. Their work appears in journals such as Drug Testing and Analysis, The Prostate, Sports Medicine, Journal of Sports Sciences and Frontiers in Physiology.
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.