Jonathan Cooper
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
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- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
- Retinoids in leukemia and cellular processes
Papers in
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- Acute Myeloid Leukemia Research 7
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- Protein Degradation and Inhibitors 4
- Genomics and Chromatin Dynamics 4
- Histone Deacetylase Inhibitors Research 1
- Co-authors
- George S. Vassiliou (7 shared papers)Robert Andrews (3 shared papers)Penny Wright (3 shared papers)Roland Rad (3 shared papers)Mark J. Arends (2 shared papers)Allan Bradley (2 shared papers)Carolyn Grove (2 shared papers)Peter Ellis (2 shared papers)
- Journals
- Blood (2 papers)Nature Genetics (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)Leukemia (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jonathan Cooper
11 papers receiving 307 citations
Peers
Comparison fields: 5 of 32
- Hematology 181
- Molecular Biology 247
- Cancer Research 51
- Genetics 33
- Immunology 32
Countries citing papers authored by Jonathan Cooper
This map shows the geographic impact of Jonathan Cooper'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 Jonathan Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Cooper more than expected).
Fields of papers citing papers by Jonathan Cooper
This network shows the impact of papers produced by Jonathan Cooper. 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 Jonathan Cooper. The network helps show where Jonathan Cooper may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Cooper, 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 | 2011 | 150 | |
| 2 | 2017 | 52 | |
| 3 | 2019 | 36 | |
| 4 | 2020 | 33 | |
| 5 | 2010 | 17 | |
| 6 | 2021 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 3 | |
| 9 | 2007 | 2 | |
| 10 | 2012 | 1 | |
| 11 | A surface measure for probabilistic structural computations. | 1998 | 1 |
About Jonathan Cooper
Jonathan Cooper is a scholar working on Hematology, Molecular Biology, Genetics, Computer Vision and Pattern Recognition and Oncology, having authored 11 papers that have together received 310 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Protein Degradation and Inhibitors (4 papers), Genomics and Chromatin Dynamics (4 papers), Digital Imaging for Blood Diseases (1 paper), Cell Image Analysis Techniques (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Hematology (181 citations), Molecular Biology (247 citations), Cancer Research (51 citations), Genetics (33 citations) and Immunology (32 citations). Jonathan Cooper has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include George S. Vassiliou, Robert Andrews, Penny Wright, Roland Rad, Mark J. Arends, Allan Bradley, Carolyn Grove, Peter Ellis, Lena Rad and Stephen V. Rice. Their work appears in journals such as Blood, Nature Genetics, Scientific Reports, Nature Communications and Leukemia.
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.