Sybilla Corbett

1.1k total citations · 1 hit paper
5 papers, 486 citations indexed

About

Sybilla Corbett is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Sybilla Corbett has authored 5 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Pharmacology. Recurrent topics in Sybilla Corbett's work include Computational Drug Discovery Methods (2 papers), RNA Interference and Gene Delivery (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). Sybilla Corbett is often cited by papers focused on Computational Drug Discovery Methods (2 papers), RNA Interference and Gene Delivery (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). Sybilla Corbett collaborates with scholars based in United Kingdom, Switzerland and Germany. Sybilla Corbett's co-authors include Barbara Zdrazil, Emma J. Manners, Eloy Félix, A. Patrícia Bento, María Paula Magariños, Harris Ioannidis, Fiona Hunter, Marleen De Veij, Nicolas Bosc and Andrew R. Leach and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Sybilla Corbett

4 papers receiving 475 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods

2023 469 citations Barbara Zdrazil, Eloy Félix et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sybilla Corbett United Kingdom	3	271	261	82	41	36	5	486
Tevfik Kizilören United Kingdom	3	264 1.0×	267 1.0×	81 1.0×	40 1.0×	37 1.0×	5	490
Harris Ioannidis United Kingdom	7	366 1.4×	288 1.1×	102 1.2×	44 1.1×	38 1.1×	8	592
Emma J. Manners United Kingdom	4	305 1.1×	302 1.2×	84 1.0×	70 1.7×	47 1.3×	7	583
Noé Sturm Sweden	10	238 0.9×	289 1.1×	65 0.8×	49 1.2×	65 1.8×	16	418
Patrick D. Fischer United States	7	385 1.4×	259 1.0×	102 1.2×	52 1.3×	42 1.2×	11	532
Thamani Dahoun Switzerland	6	323 1.2×	256 1.0×	76 0.9×	23 0.6×	17 0.5×	6	565
Yehor S. Malets Ukraine	2	281 1.0×	244 0.9×	88 1.1×	47 1.1×	36 1.0×	4	403
Dominique Sydow Germany	9	243 0.9×	177 0.7×	46 0.6×	43 1.0×	40 1.1×	15	356
Krishna Mohan Das India	10	377 1.4×	245 0.9×	105 1.3×	88 2.1×	42 1.2×	22	624
Nicolas Bosc United Kingdom	9	424 1.6×	419 1.6×	124 1.5×	57 1.4×	73 2.0×	13	715

Countries citing papers authored by Sybilla Corbett

Since Specialization

Citations

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

Fields of papers citing papers by Sybilla Corbett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sybilla Corbett

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

All Works

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5 of 5 papers shown

1.

Manners, Emma J., et al.. (2026). Integrating artificial intelligence and manual curation to enhance bioassay annotations in ChEMBL. Journal of Cheminformatics. 18(1). 24–24.

2.

Hunter, Fiona, Harris Ioannidis, A. Patrícia Bento, et al.. (2025). Drug and Clinical Candidate Drug Data in ChEMBL. Journal of Medicinal Chemistry. 68(19). 19800–19827. 1 indexed citations

3.

Zdrazil, Barbara, Eloy Félix, Fiona Hunter, et al.. (2023). The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods. Nucleic Acids Research. 52(D1). D1180–D1192. 469 indexed citations breakdown →

4.

Rawlings, Andrea E., et al.. (2020). Investigating the ferric ion binding site of magnetite biomineralisation protein Mms6. PLoS ONE. 15(2). e0228708–e0228708. 10 indexed citations

5.

Corbett, Sybilla, Rajan Sharma, A. G. Davies, & Christoph Wälti. (2017). Enhancement of RecA-mediated self-assembly in DNA nanostructures through basepair mismatches and single-strand nicks. Scientific Reports. 7(1). 41081–41081. 6 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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