Claire Marks

1.8k total citations
16 papers, 975 citations indexed

About

Claire Marks is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Claire Marks has authored 16 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Immunology. Recurrent topics in Claire Marks's work include Monoclonal and Polyclonal Antibodies Research (12 papers), vaccines and immunoinformatics approaches (6 papers) and T-cell and B-cell Immunology (5 papers). Claire Marks is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), vaccines and immunoinformatics approaches (6 papers) and T-cell and B-cell Immunology (5 papers). Claire Marks collaborates with scholars based in United Kingdom, United States and Norway. Claire Marks's co-authors include Charlotte M. Deane, Matthew I. J. Raybould, Aleksandr Kovaltsuk, Jiye Shi, Alan P. Lewis, Jarosław Nowak, Bruck Taddese, Alexander Bujotzek, Konrad Krawczyk and Sebastian Kelm and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Claire Marks

16 papers receiving 931 citations

Peers

Claire Marks
Matthew I. J. Raybould United Kingdom
Jinwoo Leem United Kingdom
Jared Adolf‐Bryfogle United States
Cédric R. Weber Switzerland
Jordan R. Willis United States
Payton A. Weidenbacher United States
Inbal Sela‐Culang Israel
Snežana Vasiljević United Kingdom
Alec A. Desai United States
Jessica A. Finn United States
Matthew I. J. Raybould United Kingdom
Claire Marks
Citations per year, relative to Claire Marks Claire Marks (= 1×) peers Matthew I. J. Raybould

Countries citing papers authored by Claire Marks

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Claire Marks

This figure shows the co-authorship network connecting the top 25 collaborators of Claire Marks. A scholar is included among the top collaborators of Claire Marks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Claire Marks. Claire Marks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Dreyer, Frédéric A., Constantin Schneider, Aleksandr Kovaltsuk, et al.. (2025). Computational design of therapeutic antibodies with improved developability: efficient traversal of binder landscapes and rescue of escape mutations. mAbs. 17(1). 2511220–2511220. 1 indexed citations
2.
Marks, Claire, et al.. (2023). Knowledge is (Reproductive) Power. 6(1). 8–14. 2 indexed citations
3.
Marks, Claire, et al.. (2021). Humanization of antibodies using a machine learning approach on large-scale repertoire data. Bioinformatics. 37(22). 4041–4047. 75 indexed citations
4.
Raybould, Matthew I. J., Claire Marks, Aleksandr Kovaltsuk, et al.. (2021). Public Baseline and shared response structures support the theory of antibody repertoire functional commonality. PLoS Computational Biology. 17(3). e1008781–e1008781. 21 indexed citations
5.
Raybould, Matthew I. J., et al.. (2021). Epitope profiling using computational structural modelling demonstrated on coronavirus-binding antibodies. PLoS Computational Biology. 17(12). e1009675–e1009675. 31 indexed citations
6.
Raybould, Matthew I. J., Aleksandr Kovaltsuk, Claire Marks, & Charlotte M. Deane. (2020). CoV-AbDab: the coronavirus antibody database. Bioinformatics. 37(5). 734–735. 209 indexed citations
7.
Marks, Claire & Charlotte M. Deane. (2020). How repertoire data are changing antibody science. Journal of Biological Chemistry. 295(29). 9823–9837. 45 indexed citations
8.
Kovaltsuk, Aleksandr, Matthew I. J. Raybould, Wing Ki Wong, et al.. (2020). Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and mice. PLoS Computational Biology. 16(2). e1007636–e1007636. 24 indexed citations
9.
Wong, Wing Ki, Claire Marks, Jinwoo Leem, et al.. (2020). TCRBuilder: multi-state T-cell receptor structure prediction. Bioinformatics. 36(11). 3580–3581. 11 indexed citations
10.
Raybould, Matthew I. J., Claire Marks, Konrad Krawczyk, et al.. (2019). Five computational developability guidelines for therapeutic antibody profiling. Proceedings of the National Academy of Sciences. 116(10). 4025–4030. 218 indexed citations
11.
Raybould, Matthew I. J., Claire Marks, Alan P. Lewis, et al.. (2019). Thera-SAbDab: the Therapeutic Structural Antibody Database. Nucleic Acids Research. 48(D1). D383–D388. 108 indexed citations
12.
Marks, Claire & Charlotte M. Deane. (2018). Increasing the accuracy of protein loop structure prediction with evolutionary constraints. Bioinformatics. 35(15). 2585–2592. 8 indexed citations
13.
Marks, Claire, Jiye Shi, & Charlotte M. Deane. (2017). Predicting loop conformational ensembles. Bioinformatics. 34(6). 949–956. 17 indexed citations
14.
Marks, Claire & Charlotte M. Deane. (2017). Antibody H3 Structure Prediction. Computational and Structural Biotechnology Journal. 15. 222–231. 43 indexed citations
15.
Marks, Claire, Jarosław Nowak, Stefan Klostermann, et al.. (2017). Sphinx: merging knowledge-based andab initioapproaches to improve protein loop prediction. Bioinformatics. 33(9). 1346–1353. 44 indexed citations
16.
Dunbar, James B., Konrad Krawczyk, Jinwoo Leem, et al.. (2016). SAbPred: a structure-based antibody prediction server. Nucleic Acids Research. 44(W1). W474–W478. 118 indexed citations

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.

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Breakdown of academic impact, for papers by Matthew I. J. Raybould Breakdown of academic impact, for papers by Jinwoo Leem Breakdown of academic impact, for papers by Jared Adolf‐Bryfogle Breakdown of academic impact, for papers by Cédric R. Weber Breakdown of academic impact, for papers by Jordan R. Willis Breakdown of academic impact, for papers by Payton A. Weidenbacher Breakdown of academic impact, for papers by Inbal Sela‐Culang Breakdown of academic impact, for papers by Snežana Vasiljević Breakdown of academic impact, for papers by Alec A. Desai Breakdown of academic impact, for papers by Jessica A. Finn
Rankless by CCL
2026