Michael D. Nicholson
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
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- Cancer Genomics and Diagnostics
Papers in
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- Cancer Genomics and Diagnostics 3
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- COVID-19 epidemiological studies 1
- Co-authors
- Tibor Antal (3 shared papers)David M. Cheek (1 shared paper)Martín Carballo‐Pacheco (1 shared paper)Rosalind J. Allen (1 shared paper)Elin Lilja (1 shared paper)Bartłomiej Waclaw (1 shared paper)Jason D. Matos (1 shared paper)Michael C. Gavin (1 shared paper)
- Journals
- Nature (3 papers)PLoS Computational Biology (3 papers)European Journal of Radiology (1 paper)Cancer Research (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Michael D. Nicholson
8 papers receiving 412 citations
Peers
Comparison fields: 5 of 71
- Modeling and Simulation 49
- Cancer Research 131
- Infectious Diseases 117
- Molecular Biology 201
- Genetics 76
Countries citing papers authored by Michael D. Nicholson
This map shows the geographic impact of Michael D. Nicholson'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 D. Nicholson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Nicholson more than expected).
Fields of papers citing papers by Michael D. Nicholson
This network shows the impact of papers produced by Michael D. Nicholson. 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 D. Nicholson. The network helps show where Michael D. Nicholson may publish in the future.
Co-authors
The 13 scholars most cited alongside Michael D. Nicholson, 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 | 2020 | 159 | |
| 2 | 2021 | 152 | |
| 3 | 2022 | 52 | |
| 4 | 2024 | 20 | |
| 5 | 2019 | 12 | |
| 6 | 2023 | 8 | |
| 7 | 2020 | 7 | |
| 8 | 2021 | 4 | |
| 9 | 2016 | 0 | |
| 10 | 2025 | 0 |
About Michael D. Nicholson
Michael D. Nicholson is a scholar working on Cancer Research, Modeling and Simulation, Molecular Biology, Genetics and Transplantation, having authored 10 papers that have together received 414 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Evolution and Genetic Dynamics (3 papers), DNA Repair Mechanisms (2 papers), Single-cell and spatial transcriptomics (2 papers), CRISPR and Genetic Engineering (1 paper), COVID-19 epidemiological studies (1 paper), Cancer Cells and Metastasis (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Modeling and Simulation (49 citations), Cancer Research (131 citations), Infectious Diseases (117 citations), Molecular Biology (201 citations) and Genetics (76 citations). Michael D. Nicholson has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Tibor Antal, David M. Cheek, Martín Carballo‐Pacheco, Rosalind J. Allen, Elin Lilja, Bartłomiej Waclaw, Jason D. Matos, Michael C. Gavin, Diana E. Litmanovich and Ian P.M. Tomlinson. Their work appears in journals such as Nature, PLoS Computational Biology, European Journal of Radiology, Cancer Research 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.