Charlotte M. Deane
-
- Monoclonal and Polyclonal Antibodies Research 92
- Molecular Biology top 0.5%
- Protein Structure and Dynamics 87
- RNA and protein synthesis mechanisms 51
- Glycosylation and Glycoproteins Research 42
- vaccines and immunoinformatics approaches 35
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 43
- Immunology top 2%
- T-cell and B-cell Immunology 34
- Reproductive Medicine top 2%
-
- Enzyme Structure and Function 32
- Co-authors
- Jiye ShiJames B. DunbarKonrad KrawczykClaire MarksGuy GeorgesBernhard KnappKenji MizuguchiMatthew I. J. Raybould
- Cited by
- Radiology, Nuclear Medicine and ImagingMolecular BiologyComputational Theory and Mathematics
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (9 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Charlotte M. Deane
245 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Radiology, Nuclear Medicine and Imaging 3.2k
- Molecular Biology 7.7k
- Computational Theory and Mathematics 1.5k
- Immunology 1.5k
- Reproductive Medicine 303
Countries citing papers authored by Charlotte M. Deane
This map shows the geographic impact of Charlotte M. Deane'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 Charlotte M. Deane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlotte M. Deane more than expected).
Fields of papers citing papers by Charlotte M. Deane
This network shows the impact of papers produced by Charlotte M. Deane. 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 Charlotte M. Deane. The network helps show where Charlotte M. Deane may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charlotte M. Deane, 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 | 2025 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 88 | |
| 6 | 2021 | 75 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 49 | |
| 9 | 2021 | 72 | |
| 10 | Investigating the potential for a limited quantum speedup on protein lattice problems | 2021 | 14 |
| 11 | 2021 | 19 | |
| 12 | 2020 | 24 | |
| 13 | 2020 | 209 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 218 | |
| 16 | 2019 | 81 | |
| 17 | 2019 | 3 | |
| 18 | 2019 | 108 | |
| 19 | 2017 | 17 | |
| 20 | 2014 | 127 |
About Charlotte M. Deane
Charlotte M. Deane is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Computational Theory and Mathematics, having authored 253 papers that have together received 10.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (92 papers), Protein Structure and Dynamics (87 papers), RNA and protein synthesis mechanisms (51 papers), Computational Drug Discovery Methods (43 papers), Glycosylation and Glycoproteins Research (42 papers), vaccines and immunoinformatics approaches (35 papers), T-cell and B-cell Immunology (34 papers) and Enzyme Structure and Function (32 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.2k citations), Molecular Biology (7.7k citations) and Computational Theory and Mathematics (1.5k citations). Charlotte M. Deane has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jiye Shi, James B. Dunbar, Konrad Krawczyk, Claire Marks, Guy Georges, Bernhard Knapp, Kenji Mizuguchi, Matthew I. J. Raybould, John P. Overington and Jinwoo Leem. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.