Sarah Batey

1.4k total citations
19 papers, 1.1k citations indexed

About

Sarah Batey is a scholar working on Molecular Biology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sarah Batey has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Materials Chemistry and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sarah Batey's work include Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Sarah Batey is often cited by papers focused on Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Sarah Batey collaborates with scholars based in United Kingdom, Switzerland and United States. Sarah Batey's co-authors include Jane Clarke, Adrian A. Nickson, Sarah A. Teichmann, Annette Steward, Kathryn A. Scott, Beth G. Wensley, Lucy G. Randles, Alessandro Borgia, Dragan Grabulovski and Julian Bertschinger and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Sarah Batey

19 papers receiving 1.1k citations

Peers

Sarah Batey

IMMUN

RNMI

ONCOL

Alexey Schulga Russia

Markus Marquart Germany

Aram Davtyan United States

Algirdas Vėlyvis Canada

Neeraj J. Agrawal United States

Hiroaki Sasakawa Japan

John Kirkpatrick United Kingdom

Christopher C. Valley United States

Werner Streicher Denmark

Alexey Schulga Russia

Sarah Batey

880 ×1.0

157 ×0.4

106 ×0.5

IMMUN

425 ×2.3

RNMI

260 ×1.5

ONCOL

Citations per year, relative to Sarah Batey Sarah Batey (= 1×) peers Alexey Schulga

Countries citing papers authored by Sarah Batey

Since Specialization

Citations

This map shows the geographic impact of Sarah Batey'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 Sarah Batey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Batey more than expected).

Fields of papers citing papers by Sarah Batey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Batey. 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 Sarah Batey. The network helps show where Sarah Batey may publish in the future.

Co-authorship network of co-authors of Sarah Batey

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Batey. A scholar is included among the top collaborators of Sarah Batey 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 Sarah Batey. Sarah Batey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Kraman, Matthew, Mustapha Faroudi, Daniel Gliddon, et al.. (2020). FS118, a Bispecific Antibody Targeting LAG-3 and PD-L1, Enhances T-Cell Activation Resulting in Potent Antitumor Activity. Clinical Cancer Research. 26(13). 3333–3344. 82 indexed citations

Lakins, Matthew A., Alexander Koers, Jose Muñoz-Olaya, et al.. (2020). FS222, a CD137/PD-L1 Tetravalent Bispecific Antibody, Exhibits Low Toxicity and Antitumor Activity in Colorectal Cancer Models. Clinical Cancer Research. 26(15). 4154–4167. 44 indexed citations

Lakins, Matthew A., Alexander Koers, Robert Hughes, et al.. (2020). Abstract 4547: Clustering CD137 via cell-expressed PD-L1 crosslinking avoided Fc-mediated agonism and resulted in safe and potent conditional lymphocyte activation. Cancer Research. 80(16_Supplement). 4547–4547. 1 indexed citations

Lakins, Matthew A., Alexander Koers, D. H. Jones, et al.. (2019). Abstract 1540: FS222 mAb², a bispecific conditional agonist antibody targeting CD137 and PD-L1, induces potent lymphocyte activation and has a favorable safety profile. Immunology. 1540–1540. 1 indexed citations

Lakins, Matthew A., Alexander Koers, Daniel B. Jones, et al.. (2019). Abstract 1540: FS222 mAb2, a bispecific conditional agonist antibody targeting CD137 and PD-L1, induces potent lymphocyte activation and has a favorable safety profile. Cancer Research. 79(13_Supplement). 1540–1540. 1 indexed citations

Leung, Kin-Mei, Sarah Batey, Phil Jones, et al.. (2015). A HER2-specific Modified Fc Fragment (Fcab) Induces Antitumor Effects Through Degradation of HER2 and Apoptosis. Molecular Therapy. 23(11). 1722–1733. 25 indexed citations

Silacci, Michela, Richard Woods, Sarah Batey, et al.. (2015). Discovery and characterization of COVA322, a clinical-stage bispecific TNF/IL-17A inhibitor for the treatment of inflammatory diseases. mAbs. 8(1). 141–149. 77 indexed citations

Silacci, Michela, et al.. (2014). Linker Length Matters, Fynomer-Fc Fusion with an Optimized Linker Displaying Picomolar IL-17A Inhibition Potency. Journal of Biological Chemistry. 289(20). 14392–14398. 41 indexed citations

Schlatter, Daniel, Simon Brack, David W. Banner, et al.. (2012). Generation, characterization and structural data of chymase binding proteins based on the human Fyn kinase SH3 domain. mAbs. 4(4). 497–508. 32 indexed citations

10.

Wensley, Beth G., et al.. (2010). Experimental evidence for a frustrated energy landscape in a three-helix-bundle protein family. Nature. 463(7281). 685–688. 129 indexed citations

11.

Wensley, Beth G., et al.. (2009). Different Members of a Simple Three-Helix Bundle Protein Family Have Very Different Folding Rate Constants and Fold by Different Mechanisms. Journal of Molecular Biology. 390(5). 1074–1085. 33 indexed citations

12.

Batey, Sarah & Jane Clarke. (2008). The Folding Pathway of a Single Domain in a Multidomain Protein is not Affected by Its Neighbouring Domain. Journal of Molecular Biology. 378(2). 297–301. 35 indexed citations

13.

Batey, Sarah, Adrian A. Nickson, & Jane Clarke. (2008). Studying the folding of multidomain proteins. PubMed. 2(6). 365–377. 67 indexed citations

14.

Randles, Lucy G., Sarah Batey, Annette Steward, & Jane Clarke. (2007). Distinguishing Specific and Nonspecific Interdomain Interactions in Multidomain Proteins. Biophysical Journal. 94(2). 622–628. 16 indexed citations

15.

Batey, Sarah, et al.. (2007). The folding and evolution of multidomain proteins. Nature Reviews Molecular Cell Biology. 8(4). 319–330. 308 indexed citations

16.

Batey, Sarah & Jane Clarke. (2006). Apparent cooperativity in the folding of multidomain proteins depends on the relative rates of folding of the constituent domains. Proceedings of the National Academy of Sciences. 103(48). 18113–18118. 56 indexed citations

17.

Batey, Sarah, Kathryn A. Scott, & Jane Clarke. (2005). Complex Folding Kinetics of a Multidomain Protein. Biophysical Journal. 90(6). 2120–2130. 54 indexed citations

18.

Batey, Sarah, Lucy G. Randles, Annette Steward, & Jane Clarke. (2005). Cooperative Folding in a Multi-domain Protein. Journal of Molecular Biology. 349(5). 1045–1059. 61 indexed citations

19.

Scott, Kathryn A., et al.. (2004). The Folding of Spectrin Domains I: Wild-type Domains Have the Same Stability but very Different Kinetic Properties. Journal of Molecular Biology. 344(1). 195–205. 59 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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