Claire Marks
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Immunology top 10%
- T-cell and B-cell Immunology
Papers in
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- vaccines and immunoinformatics approaches 5
- Glycosylation and Glycoproteins Research 2
- Protein purification and stability 2
- Protein Structure and Dynamics 2
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- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- Charlotte M. Deane (15 shared papers)Matthew I. J. Raybould (6 shared papers)Aleksandr Kovaltsuk (4 shared papers)Jiye Shi (6 shared papers)Alan P. Lewis (4 shared papers)Jarosław Nowak (3 shared papers)Alexander Bujotzek (2 shared papers)Bruck Taddese (2 shared papers)
- Journals
- Bioinformatics (6 papers)PLoS Computational Biology (3 papers)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (1 paper)mAbs (1 paper)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Claire Marks
16 papers receiving 978 citations
Peers
Comparison fields: 5 of 63
- Radiology, Nuclear Medicine and Imaging 650
- Immunology 268
- Infectious Diseases 183
- Molecular Biology 713
- Biotechnology 50
Countries citing papers authored by Claire Marks
This map shows the geographic impact of Claire Marks'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 Claire Marks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire Marks more than expected).
Fields of papers citing papers by Claire Marks
This network shows the impact of papers produced by Claire Marks. 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 Claire Marks. The network helps show where Claire Marks may publish in the future.
Co-authors
The 25 scholars most cited alongside Claire Marks, 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 | 2019 | 230 | |
| 2 | 2020 | 219 | |
| 3 | 2016 | 121 | |
| 4 | 2019 | 119 | |
| 5 | 2021 | 80 | |
| 6 | 2020 | 46 | |
| 7 | 2017 | 44 | |
| 8 | 2017 | 44 | |
| 9 | 2021 | 32 | |
| 10 | 2020 | 24 | |
| 11 | 2021 | 21 | |
| 12 | 2017 | 17 | |
| 13 | 2020 | 11 | |
| 14 | 2018 | 8 | |
| 15 | 2025 | 3 | |
| 16 | 2023 | 2 |
About Claire Marks
Claire Marks is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Infectious Diseases and Ecology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), vaccines and immunoinformatics approaches (5 papers), T-cell and B-cell Immunology (5 papers), Glycosylation and Glycoproteins Research (2 papers), Protein purification and stability (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Protein Structure and Dynamics (2 papers) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (650 citations), Immunology (268 citations), Infectious Diseases (183 citations), Molecular Biology (713 citations) and Biotechnology (50 citations). Claire Marks has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Charlotte M. Deane, Matthew I. J. Raybould, Aleksandr Kovaltsuk, Jiye Shi, Alan P. Lewis, Jarosław Nowak, Alexander Bujotzek, Bruck Taddese, Konrad Krawczyk and Sebastian Kelm. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, Nucleic Acids Research, Journal of Biological Chemistry and mAbs.
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.