Adrian Schreyer

812 total citations
12 papers, 624 citations indexed

About

Adrian Schreyer is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Adrian Schreyer has authored 12 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 2 papers in Organic Chemistry. Recurrent topics in Adrian Schreyer's work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (6 papers) and Bioinformatics and Genomic Networks (3 papers). Adrian Schreyer is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (6 papers) and Bioinformatics and Genomic Networks (3 papers). Adrian Schreyer collaborates with scholars based in United Kingdom and South Sudan. Adrian Schreyer's co-authors include Tom L. Blundell, William R. Pitt, Pedro J. Ballester, G. Richard Bickerton, Alícia P. Higueruelo, Colin R. Groom, Sungsam Gong, Semin Lee, Julia Forman and Catherine L. Worth and has published in prestigious journals such as PLoS ONE, Cancer Research and Journal of Chemical Information and Modeling.

In The Last Decade

Adrian Schreyer

12 papers receiving 607 citations

Peers

Adrian Schreyer

CTM

PHARM

Zsolt Zsoldos United Kingdom

Daniel Álvarez-García Spain

Markus H. J. Seifert Germany

Jean‐Yves Trosset United States

Krishna Mohan Das India

Sahil Patel United Kingdom

Jérémy Desaphy France

Constantine Kreatsoulas United States

Anna C. Salzberg United States

Sarah Barelier France

Zsolt Zsoldos United Kingdom

Adrian Schreyer

387 ×0.8

414 ×1.1

CTM

168 ×1.1

58 ×0.7

PHARM

116 ×1.5

Citations per year, relative to Adrian Schreyer Adrian Schreyer (= 1×) peers Zsolt Zsoldos

Countries citing papers authored by Adrian Schreyer

Since Specialization

Citations

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

Fields of papers citing papers by Adrian Schreyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Schreyer

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

All Works

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12 of 12 papers shown

Fons, Pierre, Florie Bertrand, Adrian Schreyer, et al.. (2018). Abstract 3768: Identification of a novel non-brain penetrant A2AR inhibitor and proof-of-concept of CD73 and A2AR/CD73 small-molecule inhibitors for cancer immunotherapy. Cancer Research. 78(13_Supplement). 3768–3768. 3 indexed citations

Fons, Pierre, Michaël R. Paillasse, Adrian Schreyer, et al.. (2017). Abstract 3970: Targeting the adenosine immunosuppressive pathway for cancer immunotherapy with small molecule agents. Cancer Research. 77(13_Supplement). 3970–3970. 5 indexed citations

Ballester, Pedro J., Adrian Schreyer, & Tom L. Blundell. (2014). Does a More Precise Chemical Description of Protein–Ligand Complexes Lead to More Accurate Prediction of Binding Affinity?. Journal of Chemical Information and Modeling. 54(3). 944–955. 145 indexed citations

Schreyer, Adrian & Tom L. Blundell. (2013). CREDO: a structural interactomics database for drug discovery. Database. 2013. bat049–bat049. 27 indexed citations

Higueruelo, Alícia P., Adrian Schreyer, G. Richard Bickerton, Tom L. Blundell, & William R. Pitt. (2012). What Can We Learn from the Evolution of Protein-Ligand Interactions to Aid the Design of New Therapeutics?. PLoS ONE. 7(12). e51742–e51742. 19 indexed citations

Schreyer, Adrian & Tom L. Blundell. (2012). USRCAT: real-time ultrafast shape recognition with pharmacophoric constraints. Journal of Cheminformatics. 4(1). 27–27. 76 indexed citations

Cruz‐Cabeza, Aurora J., Adrian Schreyer, & William R. Pitt. (2010). Annular tautomerism: experimental observations and quantum mechanics calculations. Journal of Computer-Aided Molecular Design. 24(6-7). 575–586. 16 indexed citations

Higueruelo, Alícia P., Adrian Schreyer, G. Richard Bickerton, et al.. (2009). Atomic Interactions and Profile of Small Molecules Disrupting Protein–Protein Interfaces: the TIMBAL Database. Chemical Biology & Drug Design. 74(5). 457–467. 129 indexed citations

Lee, Semin, Alan Brown, William R. Pitt, et al.. (2009). Structural interactomics: informatics approaches to aid the interpretation of genetic variation and the development of novel therapeutics. Molecular BioSystems. 5(12). 1456–1472. 8 indexed citations

10.

Schreyer, Adrian, et al.. (2009). On the Origins of Enzyme Inhibitor Selectivity and Promiscuity: A Case Study of Protein Kinase Binding to Staurosporine. Chemical Biology & Drug Design. 74(1). 16–24. 70 indexed citations

11.

Schreyer, Adrian & Tom L. Blundell. (2009). CREDO: A Protein–Ligand Interaction Database for Drug Discovery. Chemical Biology & Drug Design. 73(2). 157–167. 73 indexed citations

12.

Worth, Catherine L., G. Richard Bickerton, Adrian Schreyer, et al.. (2007). A STRUCTURAL BIOINFORMATICS APPROACH TO THE ANALYSIS OF NONSYNONYMOUS SINGLE NUCLEOTIDE POLYMORPHISMS (nsSNPs) AND THEIR RELATION TO DISEASE. Journal of Bioinformatics and Computational Biology. 5(6). 1297–1318. 53 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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