Maureen M. Hattersley
- Oncology top 10%
- CAR-T cell therapy research 3
- Cancer Immunotherapy and Biomarkers 3
- Hematology top 10%
- Multiple Myeloma Research and Treatments 4
- Acute Myeloid Leukemia Research 3
- Physiology top 10%
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- Protein Degradation and Inhibitors 14
- Histone Deacetylase Inhibitors Research 5
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- Cancer, Hypoxia, and Metabolism 2
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- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Stephen E. FawellHuawei ChenGordon B. MillsWei ZhaoAustin DulakMichael ZindaMark J. O’ConnorShiaw‐Yih Lin
- Cited by
- OncologyHematologyPhysiology
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Maureen M. Hattersley
27 papers receiving 811 citations
Peers
Comparison fields: 5 of 70
- Oncology 344
- Hematology 114
- Physiology 39
- Molecular Biology 551
- Immunology 129
Countries citing papers authored by Maureen M. Hattersley
This map shows the geographic impact of Maureen M. Hattersley'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 Maureen M. Hattersley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maureen M. Hattersley more than expected).
Fields of papers citing papers by Maureen M. Hattersley
This network shows the impact of papers produced by Maureen M. Hattersley. 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 Maureen M. Hattersley. The network helps show where Maureen M. Hattersley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maureen M. Hattersley, 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 | 2024 | 8 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 55 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 22 | |
| 8 | 2019 | 16 | |
| 9 | 2019 | 17 | |
| 10 | 2018 | 67 | |
| 11 | 2018 | 205 | |
| 12 | 2018 | 41 | |
| 13 | 2017 | 16 | |
| 14 | 2017 | 29 | |
| 15 | 2015 | 57 | |
| 16 | 2014 | 4 | |
| 17 | 2012 | 82 | |
| 18 | Abstract #259: The selective CSF-1R inhibitor AZ683 reduces tumor associated macrophages and inhibits growth of breast cancer xenograft models | 2009 | 1 |
| 19 | 2008 | 14 | |
| 20 | 2008 | 19 |
About Maureen M. Hattersley
Maureen M. Hattersley is a scholar working on Hematology, Physiology and Oncology, having authored 27 papers that have together received 821 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (14 papers), Histone Deacetylase Inhibitors Research (5 papers), Multiple Myeloma Research and Treatments (4 papers), Acute Myeloid Leukemia Research (3 papers), CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Oncology (344 citations), Hematology (114 citations) and Physiology (39 citations). Maureen M. Hattersley has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Stephen E. Fawell, Huawei Chen, Gordon B. Mills, Wei Zhao, Austin Dulak, Michael Zinda, Mark J. O’Connor, Shiaw‐Yih Lin, Kang Jin Jeong and Funda Meric‐Bernstam. Their work appears in journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.
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.