Anna Carbery

1.2k total citations
4 papers, 63 citations indexed

About

Anna Carbery is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Anna Carbery has authored 4 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 1 paper in Pharmacology. Recurrent topics in Anna Carbery's work include Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers) and Fungal and yeast genetics research (1 paper). Anna Carbery is often cited by papers focused on Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers) and Fungal and yeast genetics research (1 paper). Anna Carbery collaborates with scholars based in United Kingdom, South Africa and United States. Anna Carbery's co-authors include Charlotte M. Deane, F. von Delft, R. Skyner, Vijil Chenthamarakshan, Payel Das, Nathan Brown and Daniel A. Nissley and has published in prestigious journals such as Bioinformatics, Journal of Medicinal Chemistry and Journal of Chemical Information and Modeling.

In The Last Decade

Anna Carbery

4 papers receiving 62 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anna Carbery United Kingdom	4	49	41	12	10	9	4	63
Merveille Eguida France	5	45 0.9×	56 1.4×	12 1.0×	15 1.5×	9 1.0×	6	72
Karen R. Khar United States	4	81 1.7×	30 0.7×	19 1.6×	5 0.5×	9 1.0×	5	112
Simon Bray Germany	6	67 1.4×	35 0.9×	13 1.1×	5 0.5×	12 1.3×	9	95
Clément Vignac Switzerland	2	34 0.7×	32 0.8×	26 2.2×	4 0.4×	7 0.8×	2	71
Ruicheng Yang China	5	55 1.1×	43 1.0×	20 1.7×	6 0.6×	14 1.6×	5	89
Martin Simonovsky France	2	40 0.8×	38 0.9×	16 1.3×	10 1.0×	2 0.2×	4	59
Christian Schellhaas Switzerland	4	76 1.6×	13 0.3×	4 0.3×	5 0.5×	17 1.9×	5	101
Hermann Zellner Germany	4	74 1.5×	27 0.7×	17 1.4×	4 0.4×	2 0.2×	4	81
Rafael I. Brent United States	2	41 0.8×	46 1.1×	14 1.2×	10 1.0×	2 0.2×	3	55
Murray G. Read United Kingdom	2	29 0.6×	33 0.8×	43 3.6×	5 0.5×	5 0.6×	2	70

Countries citing papers authored by Anna Carbery

Since Specialization

Citations

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

Fields of papers citing papers by Anna Carbery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Carbery

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

All Works

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4 of 4 papers shown

1.

Carbery, Anna, et al.. (2024). Learnt representations of proteins can be used for accurate prediction of small molecule binding sites on experimentally determined and predicted protein structures. Journal of Cheminformatics. 16(1). 32–32. 14 indexed citations

2.

Carbery, Anna, Nathan Brown, Vijil Chenthamarakshan, et al.. (2023). A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening. Journal of Chemical Information and Modeling. 63(10). 2960–2974. 26 indexed citations

3.

Carbery, Anna, R. Skyner, F. von Delft, & Charlotte M. Deane. (2022). Fragment Libraries Designed to Be Functionally Diverse Recover Protein Binding Information More Efficiently Than Standard Structurally Diverse Libraries. Journal of Medicinal Chemistry. 65(16). 11404–11413. 20 indexed citations

4.

Nissley, Daniel A., et al.. (2021). Ribosome occupancy profiles are conserved between structurally and evolutionarily related yeast domains. Bioinformatics. 37(13). 1853–1859. 3 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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