Michael Peoples
Impact in
-
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
-
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 2
- Oncology 5
- Cancer-related Molecular Pathways 2
- Co-authors
- Christopher A. Bristow (10 shared papers)Alessandro Carugo (7 shared papers)Don L. Gibbons (4 shared papers)Rosalba Minelli (6 shared papers)Jared J. Fradette (4 shared papers)Timothy P. Heffernan (4 shared papers)Michael C. Golding (4 shared papers)Charles R. Long (2 shared papers)
- Journals
- Cancers (2 papers)Clinical Cancer Research (2 papers)Reproduction Fertility and Development (2 papers)Theriogenology (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Michael Peoples
13 papers receiving 267 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 59
- Oncology 105
- Molecular Biology 181
- Immunology and Allergy 12
- Immunology 35
Countries citing papers authored by Michael Peoples
This map shows the geographic impact of Michael Peoples'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 Peoples with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Peoples more than expected).
Fields of papers citing papers by Michael Peoples
This network shows the impact of papers produced by Michael Peoples. 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 Peoples. The network helps show where Michael Peoples may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Peoples, 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 | 2019 | 73 | |
| 2 | 2018 | 39 | |
| 3 | 2019 | 39 | |
| 4 | 2011 | 25 | |
| 5 | 2019 | 24 | |
| 6 | 2021 | 17 | |
| 7 | 2021 | 14 | |
| 8 | 2015 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2024 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2019 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2017 | 0 | |
| 16 | 2008 | 0 |
About Michael Peoples
Michael Peoples is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Genetics and Genetics, having authored 16 papers that have together received 267 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), Epigenetics and DNA Methylation (3 papers), Animal Genetics and Reproduction (3 papers), Cancer Genomics and Diagnostics (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer Mechanisms and Therapy (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (59 citations), Oncology (105 citations), Molecular Biology (181 citations), Immunology and Allergy (12 citations) and Immunology (35 citations). Michael Peoples has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Christopher A. Bristow, Alessandro Carugo, Don L. Gibbons, Rosalba Minelli, Jared J. Fradette, Timothy P. Heffernan, Michael C. Golding, Charles R. Long, David H. Peng and Samrat T. Kundu. Their work appears in journals such as Cancers, Clinical Cancer Research, Reproduction Fertility and Development, Theriogenology and Science Translational Medicine.
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.