Mark A. Dawson
- Molecular Biology top 1%
- Oncology top 2%
- Cancer Research top 1%
- Hematology top 0.5%
- Genetics top 1%
- Co-authors
- Tony KouzaridesAndrew J. BannisterSarah‐Jane DawsonBerthold GöttgensJean‐Christophe MarineRicky W. JohnstonePaul A. BeavisSimon J. Hogg
- Topics
- Epigenetics and DNA Methylation (21 papers)Protein Degradation and Inhibitors (18 papers)Acute Myeloid Leukemia Research (14 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Mark A. Dawson
78 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 5.7k
- Oncology 1.3k
- Cancer Research 1.2k
- Hematology 1.2k
- Genetics 832
Countries citing papers authored by Mark A. Dawson
This map shows the geographic impact of Mark A. Dawson'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 A. Dawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Dawson more than expected).
Fields of papers citing papers by Mark A. Dawson
This network shows the impact of papers produced by Mark A. Dawson. 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 A. Dawson. The network helps show where Mark A. Dawson may publish in the future.
Co-authorship network of co-authors of Mark A. Dawson
This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Dawson. A scholar is included among the top collaborators of Mark A. Dawson 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 A. Dawson. Mark A. Dawson 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 | 5 | |
| 3 | 7 | |
| 4 | 20 | |
| 5 | 12 | |
| 6 | Targeting the epigenetic regulation of antitumour immunitybreakdown → | 461 |
| 7 | 4 | |
| 8 | Non-genetic mechanisms of therapeutic resistance in cancerbreakdown → | 353 |
| 9 | 28 | |
| 10 | 74 | |
| 11 | The combination of ibrutinib and venetoclax (ABT-199) rapidly achieves complete remissions in patients with relapsed/refractory mantle cell lymphoma: Preliminary results of the phase II AIM study | 3 |
| 12 | 225 | |
| 13 | 63 | |
| 14 | 41 | |
| 15 | 25 | |
| 16 | 92 | |
| 17 | 100 | |
| 18 | 21 | |
| 19 | 95 | |
| 20 | 5 |
About Mark A. Dawson
Mark A. Dawson is a scholar working on Hematology, Genetics and Molecular Biology, having authored 86 papers that have together received 7.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (21 papers), Protein Degradation and Inhibitors (18 papers) and Acute Myeloid Leukemia Research (14 papers). The work is most often cited by research in Hematology (1.2k citations), Molecular Biology (5.7k citations) and Cancer Research (1.2k citations). Mark A. Dawson has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Tony Kouzarides, Andrew J. Bannister, Sarah‐Jane Dawson, Berthold Göttgens, Jean‐Christophe Marine, Ricky W. Johnstone, Paul A. Beavis, Simon J. Hogg, Brian J.P. Huntly and Anthony R. Green. Their work appears in journals such as Nature, Science and New England Journal of 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.