Michele C. Hayward
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 11
- Oncology top 10%
- Applied Psychology top 10%
- Clinical Psychology top 5%
- Resilience and Mental Health 3
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- Lung Cancer Treatments and Mutations 9
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- RNA modifications and cancer 6
- Molecular Biology Techniques and Applications 3
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- Cardiomyopathy and Myosin Studies 3
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- Radiomics and Machine Learning in Medical Imaging 3
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- Bladder and Urothelial Cancer Treatments 3
- Co-authors
- Andrew BaumD. Neil HayesAngela Liegey DougallDouglas L. DelahantyCarol S. FullertonRobert J. UrsanoXiaoying YinMatthew D. Wilkerson
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Michele C. Hayward
44 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 404
- Oncology 399
- Applied Psychology 68
- Clinical Psychology 262
- Pulmonary and Respiratory Medicine 347
Countries citing papers authored by Michele C. Hayward
This map shows the geographic impact of Michele C. Hayward'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 Michele C. Hayward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele C. Hayward more than expected).
Fields of papers citing papers by Michele C. Hayward
This network shows the impact of papers produced by Michele C. Hayward. 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 Michele C. Hayward. The network helps show where Michele C. Hayward may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michele C. Hayward, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 108 | |
| 7 | 2021 | 11 | |
| 8 | 2018 | 6 | |
| 9 | 2014 | 56 | |
| 10 | 2013 | 16 | |
| 11 | 2012 | 120 | |
| 12 | 2012 | 192 | |
| 13 | 2011 | 22 | |
| 14 | 2011 | 5 | |
| 15 | 2010 | 194 | |
| 16 | 2009 | 15 | |
| 17 | 2005 | 52 | |
| 18 | 1997 | 117 | |
| 19 | 1993 | 7 | |
| 20 | 1986 | 6 |
About Michele C. Hayward
Michele C. Hayward is a scholar working on Cancer Research, Otorhinolaryngology and Oncology, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Lung Cancer Treatments and Mutations (9 papers), RNA modifications and cancer (6 papers), Resilience and Mental Health (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Bladder and Urothelial Cancer Treatments (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Cancer Research (404 citations), Oncology (399 citations) and Applied Psychology (68 citations). Michele C. Hayward has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Andrew Baum, D. Neil Hayes, Angela Liegey Dougall, Douglas L. Delahanty, Carol S. Fullerton, Robert J. Ursano, Xiaoying Yin, Matthew D. Wilkerson, William K. Funkhouser and Leigh B. Thorne. Their work appears in journals such as Nature, Nature Communications and Journal of Clinical Oncology.
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.