Michael A. Boemo
Impact in
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- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- Advanced biosensing and bioanalysis techniques
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
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- DNA Repair Mechanisms 4
- Genomics and Chromatin Dynamics 3
- DNA and Biological Computing 3
- DNA and Nucleic Acid Chemistry 2
- Fungal and yeast genetics research 1
- Oncology 2
- Drug Transport and Resistance Mechanisms 1
- Co-authors
- Conrad A. Nieduszynski (2 shared papers)Skirmantas Kriaučionis (1 shared paper)Benedikt M. Kessler (1 shared paper)Carolin A. Müller (1 shared paper)Jared T. Simpson (1 shared paper)Helen M. Byrne (1 shared paper)Luca Cardelli (2 shared papers)Anupama Reddy (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Nature Communications (2 papers)PLoS Computational Biology (2 papers)Nature Methods (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Michael A. Boemo
12 papers receiving 274 citations
Peers
Comparison fields: 5 of 50
- Molecular Biology 178
- Genetics 60
- Cell Biology 34
- Cancer Research 25
- Modeling and Simulation 7
Countries citing papers authored by Michael A. Boemo
This map shows the geographic impact of Michael A. Boemo'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 A. Boemo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Boemo more than expected).
Fields of papers citing papers by Michael A. Boemo
This network shows the impact of papers produced by Michael A. Boemo. 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 A. Boemo. The network helps show where Michael A. Boemo may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael A. Boemo, 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 | 88 | |
| 2 | 2012 | 46 | |
| 3 | 2020 | 31 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 20 | |
| 6 | 2016 | 17 | |
| 7 | 2018 | 17 | |
| 8 | 2023 | 15 | |
| 9 | 2020 | 10 | |
| 10 | 2025 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Michael A. Boemo
Michael A. Boemo is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Neurology, having authored 16 papers that have together received 275 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Genomics and Chromatin Dynamics (3 papers), DNA and Biological Computing (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Cancer Genomics and Diagnostics (1 paper), Fungal and yeast genetics research (1 paper), Microtubule and mitosis dynamics (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (178 citations), Genetics (60 citations), Cell Biology (34 citations), Cancer Research (25 citations) and Modeling and Simulation (7 citations). Michael A. Boemo has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Conrad A. Nieduszynski, Skirmantas Kriaučionis, Benedikt M. Kessler, Carolin A. Müller, Jared T. Simpson, Helen M. Byrne, Luca Cardelli, Anupama Reddy, Gabriela Alexe and Lee Cronk. Their work appears in journals such as Nucleic Acids Research, Nature Communications, PLoS Computational Biology, Nature Methods and ACS Synthetic Biology.
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.