David A. Bateman
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
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- Acute Myeloid Leukemia Research
Papers in
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- Alzheimer's disease research and treatments 5
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- Protein Structure and Dynamics 3
- RNA and protein synthesis mechanisms 1
- Co-authors
- Avijit Chakrabartty (6 shared papers)Richard Pazdur (1 shared paper)Paresma Patel (1 shared paper)Christopher M. Sheth (1 shared paper)Aviva C. Krauss (1 shared paper)Michael L. Manning (1 shared paper)Anamitro Banerjee (1 shared paper)Donna Przepiorka (1 shared paper)
- Journals
- Biophysical Journal (2 papers)International Journal of Alzheimer s Disease (1 paper)Clinical Cancer Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Biopolymers (1 paper)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
David A. Bateman
8 papers receiving 382 citations
David A. Bateman's Hit Papers
Peers
Comparison fields: 5 of 68
- Biomaterials 133
- Hematology 61
- Molecular Biology 202
- Physiology 72
- Oncology 57
Countries citing papers authored by David A. Bateman
This map shows the geographic impact of David A. Bateman'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 David A. Bateman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Bateman more than expected).
Fields of papers citing papers by David A. Bateman
This network shows the impact of papers produced by David A. Bateman. 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 David A. Bateman. The network helps show where David A. Bateman may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Bateman, 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 | FDA Approval Summary: (Daunorubicin and Cytarabine) Liposome for Injection for the Treatment of Adults with High-Risk Acute Myeloid Leukemia Hit paper breakdown → | 2018 | 252 |
| 2 | 2007 | 30 | |
| 3 | 2011 | 27 | |
| 4 | 2009 | 17 | |
| 5 | 2007 | 16 | |
| 6 | 2004 | 14 | |
| 7 | 2007 | 14 | |
| 8 | 2011 | 12 | |
| 9 | 2025 | 0 |
About David A. Bateman
David A. Bateman is a scholar working on Physiology, Molecular Biology, Computational Theory and Mathematics, Pharmacology and Genetics, having authored 9 papers that have together received 382 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), RNA and protein synthesis mechanisms (1 paper) and Retinopathy of Prematurity Studies (1 paper). The work is most often cited by research in Biomaterials (133 citations), Hematology (61 citations), Molecular Biology (202 citations), Physiology (72 citations) and Oncology (57 citations). David A. Bateman has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Avijit Chakrabartty, Richard Pazdur, Paresma Patel, Christopher M. Sheth, Aviva C. Krauss, Michael L. Manning, Anamitro Banerjee, Donna Przepiorka, Stacy S. Shord and Wentao Fu. Their work appears in journals such as Biophysical Journal, International Journal of Alzheimer s Disease, Clinical Cancer Research, Proceedings of the National Academy of Sciences and Biopolymers.
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.