Alex Pearson
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Oncology top 5%
- HER2/EGFR in Cancer Research
- PARP inhibition in cancer therapy
Papers in
-
- Cancer Genomics and Diagnostics 4
- Carcinogens and Genotoxicity Assessment 2
- Oncology 6
- PARP inhibition in cancer therapy 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Nicholas C. Turner (11 shared papers)Alan Ashworth (5 shared papers)Rachael Natrajan (4 shared papers)Rachel Sharpe (4 shared papers)Alan G. Mackay (3 shared papers)Jorge Sergio Reis-Filho (3 shared papers)Felipe Correa Geyer (2 shared papers)Elizabeth J. Iorns (1 shared paper)
- Journals
- Clinical Cancer Research (5 papers)Cancer Discovery (4 papers)Annals of Oncology (3 papers)Oncogene (2 papers)Cancer Research (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Alex Pearson
22 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 79
- Cancer Research 596
- Oncology 753
- Molecular Biology 1.2k
- Pulmonary and Respiratory Medicine 469
- Genetics 219
Countries citing papers authored by Alex Pearson
This map shows the geographic impact of Alex Pearson'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 Alex Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Pearson more than expected).
Fields of papers citing papers by Alex Pearson
This network shows the impact of papers produced by Alex Pearson. 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 Alex Pearson. The network helps show where Alex Pearson may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Pearson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 612 | |
| 2 | 2010 | 350 | |
| 3 | 2016 | 240 | |
| 4 | 2020 | 197 | |
| 5 | 2011 | 151 | |
| 6 | 2019 | 109 | |
| 7 | 2013 | 108 | |
| 8 | 1994 | 67 | |
| 9 | 2020 | 54 | |
| 10 | 2019 | 53 | |
| 11 | 2013 | 28 | |
| 12 | 2023 | 27 | |
| 13 | 2023 | 24 | |
| 14 | 1984 | 20 | |
| 15 | 2019 | 17 | |
| 16 | 2018 | 14 | |
| 17 | 1983 | 9 | |
| 18 | 2015 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2021 | 4 |
About Alex Pearson
Alex Pearson is a scholar working on Cancer Research, Oncology, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (7 papers), Cancer Genomics and Diagnostics (4 papers), Advanced Breast Cancer Therapies (4 papers), PARP inhibition in cancer therapy (3 papers), Carcinogens and Genotoxicity Assessment (2 papers), Cancer-related Molecular Pathways (2 papers), DNA Repair Mechanisms (2 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Cancer Research (596 citations), Oncology (753 citations), Molecular Biology (1.2k citations), Pulmonary and Respiratory Medicine (469 citations) and Genetics (219 citations). Alex Pearson has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Nicholas C. Turner, Alan Ashworth, Rachael Natrajan, Rachel Sharpe, Alan G. Mackay, Jorge Sergio Reis-Filho, Felipe Correa Geyer, Elizabeth J. Iorns, Cheryl Gillett and Maryou B.K. Lambros. Their work appears in journals such as Clinical Cancer Research, Cancer Discovery, Annals of Oncology, Oncogene and Cancer Research.
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.