Tim Nichols
Impact in
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- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Protein Degradation and Inhibitors 1
- Metabolism, Diabetes, and Cancer 1
- Cancer therapeutics and mechanisms 1
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- Advanced Breast Cancer Therapies 2
- Co-authors
- Stephan K. Grant (2 shared papers)James Register (1 shared paper)Sacha Ninkovic (1 shared paper)Patrick M. O’Connor (1 shared paper)Ping Chen (1 shared paper)Jill Hallin (1 shared paper)Eugenia Kraynov (1 shared paper)Alessandra Blasina (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (1 paper)Clinical Cancer Research (1 paper)Toxicological Sciences (1 paper)Journal of Biomechanics (1 paper)BMC Genomics (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Tim Nichols
12 papers receiving 407 citations
Peers
Comparison fields: 5 of 81
- Oncology 156
- Cancer Research 74
- Molecular Biology 264
- Immunology and Allergy 23
- Nephrology 24
Countries citing papers authored by Tim Nichols
This map shows the geographic impact of Tim Nichols'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 Tim Nichols with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Nichols more than expected).
Fields of papers citing papers by Tim Nichols
This network shows the impact of papers produced by Tim Nichols. 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 Tim Nichols. The network helps show where Tim Nichols may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Nichols, 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 | 2008 | 171 | |
| 2 | 2011 | 62 | |
| 3 | 2013 | 58 | |
| 4 | 1999 | 43 | |
| 5 | 2011 | 22 | |
| 6 | 2017 | 17 | |
| 7 | 2014 | 17 | |
| 8 | 2022 | 8 | |
| 9 | 2012 | 7 | |
| 10 | 2015 | 5 | |
| 11 | 2024 | 2 | |
| 12 | 2 + 2 + 2: Collaborating to Enhance Educational Opportunities for Native Americans | 1998 | 1 |
About Tim Nichols
Tim Nichols is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Neurology and Genetics, having authored 12 papers that have together received 413 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (2 papers), Advanced Breast Cancer Therapies (2 papers), Pancreatic function and diabetes (1 paper), Protein Degradation and Inhibitors (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Medical Imaging Techniques and Applications (1 paper), Virtual Reality Applications and Impacts (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Oncology (156 citations), Cancer Research (74 citations), Molecular Biology (264 citations), Immunology and Allergy (23 citations) and Nephrology (24 citations). Tim Nichols has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Stephan K. Grant, James Register, Sacha Ninkovic, Patrick M. O’Connor, Ping Chen, Jill Hallin, Eugenia Kraynov, Alessandra Blasina, Enhong Chen and Maria E. Arango. Their work appears in journals such as Molecular Cancer Therapeutics, Clinical Cancer Research, Toxicological Sciences, Journal of Biomechanics and BMC Genomics.
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.