Amanda Wakefield
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 6
- Receptor Mechanisms and Signaling 3
- Chemical Synthesis and Analysis 2
- Oncology 5
- CAR-T cell therapy research 3
- Co-authors
- Sándor Vajda (10 shared papers)Dmitri Beglov (4 shared papers)Adrian Whitty (4 shared papers)Dima Kozakov (6 shared papers)Megan Egbert (2 shared papers)William M. Wuest (1 shared paper)Vincent A. Voelz (1 shared paper)György M. Keserű (4 shared papers)
- Journals
- Journal of Chemical Information and Modeling (3 papers)Journal for ImmunoTherapy of Cancer (2 papers)Molecular Therapy (1 paper)Scientific Reports (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesHungarySouth Africa
In The Last Decade
Amanda Wakefield
17 papers receiving 455 citations
Peers
Comparison fields: 5 of 78
- Computational Theory and Mathematics 160
- Molecular Biology 359
- Spectroscopy 38
- Radiology, Nuclear Medicine and Imaging 49
- Oncology 58
Countries citing papers authored by Amanda Wakefield
This map shows the geographic impact of Amanda Wakefield'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 Amanda Wakefield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda Wakefield more than expected).
Fields of papers citing papers by Amanda Wakefield
This network shows the impact of papers produced by Amanda Wakefield. 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 Amanda Wakefield. The network helps show where Amanda Wakefield may publish in the future.
Co-authors
The 25 scholars most cited alongside Amanda Wakefield, 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 | 114 | |
| 2 | 2018 | 93 | |
| 3 | 2015 | 42 | |
| 4 | 2019 | 36 | |
| 5 | 2021 | 31 | |
| 6 | 2019 | 30 | |
| 7 | 2022 | 26 | |
| 8 | 2015 | 24 | |
| 9 | 2019 | 17 | |
| 10 | 2022 | 13 | |
| 11 | 2014 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2015 | 6 | |
| 14 | 2021 | 4 | |
| 15 | 2014 | 4 | |
| 16 | 2022 | 1 | |
| 17 | 2015 | 1 | |
| 18 | An insight into adolescent transition from rural to urban centres | 2004 | 1 |
About Amanda Wakefield
Amanda Wakefield is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 461 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers), CAR-T cell therapy research (3 papers), Receptor Mechanisms and Signaling (3 papers), Enzyme Structure and Function (3 papers), Neuropeptides and Animal Physiology (2 papers), Chemical Synthesis and Analysis (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (160 citations), Molecular Biology (359 citations), Spectroscopy (38 citations), Radiology, Nuclear Medicine and Imaging (49 citations) and Oncology (58 citations). Amanda Wakefield has collaborated with scholars based in United States, Hungary and South Africa. Frequent co-authors include Sándor Vajda, Dmitri Beglov, Adrian Whitty, Dima Kozakov, Megan Egbert, William M. Wuest, Vincent A. Voelz, György M. Keserű, Karen N. Allen and Lingqi Luo. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal for ImmunoTherapy of Cancer, Molecular Therapy, Scientific Reports and ACS Medicinal Chemistry Letters.
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.