Prudence Mutowo

7.9k total citations · 1 hit paper
7 papers, 2.2k citations indexed

About

Prudence Mutowo is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Prudence Mutowo has authored 7 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Artificial Intelligence. Recurrent topics in Prudence Mutowo's work include Bioinformatics and Genomic Networks (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Computational Drug Discovery Methods (2 papers). Prudence Mutowo is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Computational Drug Discovery Methods (2 papers). Prudence Mutowo collaborates with scholars based in United Kingdom, United States and South Africa. Prudence Mutowo's co-authors include Anne Hersey, John P. Overington, A. Patrícia Bento, Nathan Dedman, Anna Gaulton, Andrew R. Leach, Mark Davies, George Papadatos, David Méndez and Michał Nowotka and has published in prestigious journals such as Nucleic Acids Research, BMC Bioinformatics and Database.

In The Last Decade

Prudence Mutowo

7 papers receiving 2.2k 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 2017

2016 1.6k citations Anna Gaulton, Anne Hersey 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
Prudence Mutowo United Kingdom	6	1.5k	1.2k	324	278	173	7	2.2k
María Paula Magariños Argentina	7	1.4k 0.9×	1.4k 1.2×	398 1.2×	304 1.1×	225 1.3×	9	2.3k
David Méndez Colombia	5	1.3k 0.9×	1.4k 1.2×	402 1.2×	300 1.1×	214 1.2×	10	2.1k
Elena Cibrián–Uhalte Germany	7	1.1k 0.7×	1.1k 0.9×	314 1.0×	261 0.9×	172 1.0×	9	1.8k
Nathan Dedman United Kingdom	7	1.4k 1.0×	1.5k 1.3×	426 1.3×	335 1.2×	252 1.5×	7	2.3k
Ines Smit United Kingdom	5	1.0k 0.7×	1.1k 1.0×	316 1.0×	261 0.9×	169 1.0×	8	1.6k
Felix Krüger United Kingdom	8	1.2k 0.8×	970 0.8×	216 0.7×	216 0.8×	146 0.8×	11	1.9k
George Nicola United States	13	1.1k 0.7×	868 0.7×	255 0.8×	217 0.8×	163 0.9×	22	1.6k
Peter Schmidtke Spain	18	2.3k 1.5×	1.1k 1.0×	398 1.2×	355 1.3×	282 1.6×	26	3.2k
Tuğba Önal-Süzek Türkiye	10	1.4k 0.9×	1.1k 1.0×	184 0.6×	267 1.0×	172 1.0×	21	2.1k

Countries citing papers authored by Prudence Mutowo

Since Specialization

Citations

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

Fields of papers citing papers by Prudence Mutowo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prudence Mutowo

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Coghlan, Avril, Prudence Mutowo, Noel M. O’Boyle, et al.. (2018). Creating a screening set of potential anthelmintic compounds using ChEMBL. Protocol Exchange. 3 indexed citations

2.

Mutowo, Prudence, A. Patrícia Bento, Nathan Dedman, et al.. (2016). A drug target slim: using gene ontology and gene ontology annotations to navigate protein-ligand target space in ChEMBL. Journal of Biomedical Semantics. 7(1). 59–59. 22 indexed citations

3.

Gaulton, Anna, Anne Hersey, Michał Nowotka, et al.. (2016). The ChEMBL database in 2017. Nucleic Acids Research. 45(D1). D945–D954. 1589 indexed citations breakdown →

4.

Huntley, Rachael P., Midori A. Harris, Yasmin Alam-Faruque, et al.. (2014). A method for increasing expressivity of Gene Ontology annotations using a compositional approach. BMC Bioinformatics. 15(1). 155–155. 67 indexed citations

5.

Huntley, Rachael P., Tony Sawford, Prudence Mutowo, et al.. (2014). The GOA database: Gene Ontology annotation updates for 2015. Nucleic Acids Research. 43(D1). D1057–D1063. 414 indexed citations

6.

Mutowo, Prudence, Rachael P. Huntley, Emily Dimmer, et al.. (2013). Use of Gene Ontology Annotation to understand the peroxisome proteome in humans. Database. 2013. bas062–bas062. 14 indexed citations

7.

Burge, Sarah, Elizabeth A. Kelly, David Lonsdale, et al.. (2012). Manual GO annotation of predictive protein signatures: the InterPro approach to GO curation. Database. 2012(0). bar068–bar068. 84 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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