Michael Cox
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism 8
- Cancer, Hypoxia, and Metabolism 6
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- Prostate Cancer Treatment and Research 38
- Immunology and Allergy top 2%
- Oncology top 2%
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling 6
- PI3K/AKT/mTOR signaling in cancer 5
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- Estrogen and related hormone effects 8
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- Growth Hormone and Insulin-like Growth Factors 7
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- Radiopharmaceutical Chemistry and Applications 6
Michael Cox
104 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cancer Research 874
- Pulmonary and Respiratory Medicine 1.3k
- Immunology and Allergy 224
- Oncology 992
- Molecular Biology 2.4k
Countries citing papers authored by Michael Cox
This map shows the geographic impact of Michael Cox'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 Michael Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Cox more than expected).
Fields of papers citing papers by Michael Cox
This network shows the impact of papers produced by Michael Cox. 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 Michael Cox. The network helps show where Michael Cox may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Cox, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 6 | |
| 4 | 2019 | 46 | |
| 5 | 2017 | 1 | |
| 6 | 2011 | 20 | |
| 7 | 2010 | 42 | |
| 8 | 2009 | 32 | |
| 9 | 2008 | 218 | |
| 10 | 2007 | 85 | |
| 11 | 2007 | 142 | |
| 12 | 2007 | 15 | |
| 13 | 2005 | 82 | |
| 14 | 2005 | 12 | |
| 15 | Progress on regulations for human-derived therapeutic products. | 2003 | 1 |
| 16 | 2003 | 96 | |
| 17 | 2003 | 43 | |
| 18 | 1998 | 64 | |
| 19 | 1998 | 85 | |
| 20 | 1992 | 19 |
About Michael Cox
Michael Cox is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Immunology and Allergy, Occupational Therapy and Oncology, having authored 107 papers that have together received 4.7k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (38 papers), Estrogen and related hormone effects (8 papers), Cancer, Lipids, and Metabolism (8 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Cancer, Hypoxia, and Metabolism (6 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Cancer Research (874 citations), Pulmonary and Respiratory Medicine (1.3k citations), Immunology and Allergy (224 citations), Oncology (992 citations) and Molecular Biology (2.4k citations). Michael Cox has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Sarah J. Parsons, Paul D. Deeble, Martin Gleave, David A. Tice, Ming‐Chei Maa, Jacqueline S. Biscardi, Ladan Fazli, Paul S. Rennie, Sunil R. Lakhani and Robert H. Bell. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, The Prostate, International Journal of Cancer and Scientific Reports.
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.