Daniel P. Mould
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
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- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
- Cancer therapeutics and mechanisms
- Genomics and Chromatin Dynamics
- Chemical Synthesis and Analysis
Papers in
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- Epigenetics and DNA Methylation 6
- Histone Deacetylase Inhibitors Research 5
- Cancer-related gene regulation 2
- Cancer therapeutics and mechanisms 2
- Genomics and Chromatin Dynamics 1
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- Acute Myeloid Leukemia Research 2
- Co-authors
- Allan M. Jordan (8 shared papers)Alison E. McGonagle (6 shared papers)Emma L. Williams (2 shared papers)Daniel H. Wiseman (2 shared papers)James R. Hitchin (4 shared papers)Tim C. P. Somervaille (4 shared papers)Donald Ogilvie (6 shared papers)Alba Maiqués-Díaz (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Cell Reports (1 paper)Medicinal Research Reviews (1 paper)MedChemComm (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Daniel P. Mould
8 papers receiving 445 citations
Peers
Comparison fields: 5 of 53
- Hematology 61
- Molecular Biology 375
- Toxicology 9
- Aging 4
- Oncology 50
Countries citing papers authored by Daniel P. Mould
This map shows the geographic impact of Daniel P. Mould'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 Daniel P. Mould with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Mould more than expected).
Fields of papers citing papers by Daniel P. Mould
This network shows the impact of papers produced by Daniel P. Mould. 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 Daniel P. Mould. The network helps show where Daniel P. Mould may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel P. Mould, 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 | 2018 | 143 | |
| 2 | 2014 | 108 | |
| 3 | 2013 | 55 | |
| 4 | 2013 | 50 | |
| 5 | 2017 | 42 | |
| 6 | 2018 | 27 | |
| 7 | 2017 | 13 | |
| 8 | 2017 | 10 |
About Daniel P. Mould
Daniel P. Mould is a scholar working on Molecular Biology, Hematology, Immunology, Organic Chemistry and Oncology, having authored 8 papers that have together received 448 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Histone Deacetylase Inhibitors Research (5 papers), Acute Myeloid Leukemia Research (2 papers), Cancer-related gene regulation (2 papers), Cancer therapeutics and mechanisms (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Genomics and Chromatin Dynamics (1 paper) and Synthesis and Biological Evaluation (1 paper). The work is most often cited by research in Hematology (61 citations), Molecular Biology (375 citations), Toxicology (9 citations), Aging (4 citations) and Oncology (50 citations). Daniel P. Mould has collaborated with scholars based in United Kingdom. Frequent co-authors include Allan M. Jordan, Alison E. McGonagle, Emma L. Williams, Daniel H. Wiseman, James R. Hitchin, Tim C. P. Somervaille, Donald Ogilvie, Alba Maiqués-Díaz, Bohdan Waszkowycz and Emma Fairweather. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Cell Reports, Medicinal Research Reviews and MedChemComm.
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.