Mark R. Albertella
- Molecular Biology top 10%
- Cancer Research top 5%
- Oncology top 10%
- Cell Biology top 10%
- Immunology
- Co-authors
- Mark J. O’ConnorAlan LauAlan R. LehmannCatherine GreenAnthony TigheStephen S. TaylorVictoria JohnsonAlvin Wong
- Topics
- DNA Repair Mechanisms (8 papers)PARP inhibition in cancer therapy (7 papers)RNA modifications and cancer (6 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
- Molecular Biology 766
- Cancer Research 351
- Oncology 256
- Cell Biology 147
- Immunology 97
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 of co-authors of Mark R. Albertella
This figure shows the co-authorship network connecting the top 25 collaborators of Mark R. Albertella. A scholar is included among the top collaborators of Mark R. Albertella based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark R. Albertella. Mark R. Albertella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 90 | |
| 7 | 3 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 39 | |
| 11 | 23 | |
| 12 | 98 | |
| 13 | Identification of potent water-soluble DNA-dependent protein kinase (DNA-PK) inhibitors using a small-molecule library approach [abstract] | 3 |
| 14 | In vivo activation of the hypoxia-targeted cytotoxin AQ4N in human tumor xenografts | 6 |
| 15 | The novel hypoxia-targeted anticancer agent AQ4N is not subject to multi-drug resistance mediated by PGP/MDR1 | 1 |
| 16 | 211 | |
| 17 | 12 | |
| 18 | 3 | |
| 19 | 24 | |
| 20 | 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) and RNA modifications and cancer (6 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 Journal of Clinical Oncology, Genes & Development 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.