Mark R. Albertella
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 5
- Molecular Biology top 10%
- DNA Repair Mechanisms 8
- RNA modifications and cancer 6
- Cancer-related gene regulation 6
- ATP Synthase and ATPases Research 3
- Oncology top 10%
- PARP inhibition in cancer therapy 7
- Cancer Immunotherapy and Biomarkers 3
- Cell Biology top 10%
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- Cancer Research and Treatments 3
- Co-authors
- Mark J. O’ConnorAlan LauAlan R. LehmannCatherine GreenAnthony TigheStephen S. TaylorVictoria JohnsonAlvin Wong
- Journals
- Cancer Research (5 papers)Molecular Cancer Therapeutics (4 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Mark R. Albertella
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 78
- Cancer Research 351
- Molecular Biology 766
- Oncology 256
- Cell Biology 147
- Pathology and Forensic Medicine 89
Countries citing papers authored by Mark R. Albertella
This map shows the geographic impact of Mark R. Albertella'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 Mark R. Albertella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark R. Albertella more than expected).
Fields of papers citing papers by Mark R. Albertella
This network shows the impact of papers produced by Mark R. Albertella. 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 Mark R. Albertella. The network helps show where Mark R. Albertella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark R. Albertella, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 90 | |
| 7 | 2018 | 3 | |
| 8 | 2018 | 17 | |
| 9 | 2016 | 2 | |
| 10 | 2014 | 39 | |
| 11 | 2013 | 23 | |
| 12 | 2008 | 98 | |
| 13 | Identification of potent water-soluble DNA-dependent protein kinase (DNA-PK) inhibitors using a small-molecule library approach [abstract] | 2008 | 3 |
| 14 | In vivo activation of the hypoxia-targeted cytotoxin AQ4N in human tumor xenografts | 2006 | 6 |
| 15 | The novel hypoxia-targeted anticancer agent AQ4N is not subject to multi-drug resistance mediated by PGP/MDR1 | 2005 | 1 |
| 16 | 2005 | 211 | |
| 17 | 2000 | 12 | |
| 18 | 1996 | 3 | |
| 19 | 1996 | 24 | |
| 20 | 1994 | 53 |
About Mark R. Albertella
Mark R. Albertella is a scholar working on Cancer Research, Biotechnology and Oncology, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), PARP inhibition in cancer therapy (7 papers), RNA modifications and cancer (6 papers), Cancer-related gene regulation (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer Research and Treatments (3 papers), ATP Synthase and ATPases Research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (351 citations), Molecular Biology (766 citations) and Oncology (256 citations). Mark R. Albertella has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Mark J. O’Connor, Alan Lau, Alan R. Lehmann, Catherine Green, Anthony Tighe, Stephen S. Taylor, Victoria Johnson, Alvin Wong, Alshad S. Lalani and Paul M. Loadman. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Clinical Oncology, Clinical Cancer Research and Blood.
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.