Gemma Turón

825 total citations
12 papers, 284 citations indexed

About

Gemma Turón is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Gemma Turón has authored 12 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 2 papers in Oncology. Recurrent topics in Gemma Turón's work include Computational Drug Discovery Methods (6 papers), Genetics, Bioinformatics, and Biomedical Research (6 papers) and vaccines and immunoinformatics approaches (3 papers). Gemma Turón is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Genetics, Bioinformatics, and Biomedical Research (6 papers) and vaccines and immunoinformatics approaches (3 papers). Gemma Turón collaborates with scholars based in Spain, United States and South Africa. Gemma Turón's co-authors include Miquel Duran‐Frigola, Marta Sevillano, Anna Merlos‐Suárez, Xavier Hernando‐Momblona, Eduard Batlle, Carme Cortina, Elena Sancho, Mònica Aguilera, Sébastien Tosi and Camille Stephan‐Otto Attolini and has published in prestigious journals such as Nature, Nature Communications and Molecular Cell.

In The Last Decade

Gemma Turón

10 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gemma Turón Spain 7 187 103 56 31 23 12 284
Lotte Bruens Netherlands 7 121 0.6× 89 0.9× 35 0.6× 28 0.9× 36 1.6× 9 248
Marco Tognetti United States 6 290 1.6× 54 0.5× 37 0.7× 10 0.3× 20 0.9× 10 341
Julie Cowart United States 8 218 1.2× 71 0.7× 31 0.6× 13 0.4× 34 1.5× 13 312
Luis Tobalina United Kingdom 12 325 1.7× 162 1.6× 48 0.9× 48 1.5× 38 1.7× 17 411
Hanwen Xu United States 10 193 1.0× 70 0.7× 75 1.3× 10 0.3× 11 0.5× 18 292
Syd Barthorpe United Kingdom 5 141 0.8× 84 0.8× 43 0.8× 30 1.0× 15 0.7× 7 210
Chih-Long Chang Taiwan 9 118 0.6× 39 0.4× 26 0.5× 15 0.5× 14 0.6× 15 326
Helen Plant United Kingdom 9 262 1.4× 88 0.9× 13 0.2× 61 2.0× 17 0.7× 15 378
Shalu Gupta India 8 264 1.4× 92 0.9× 37 0.7× 10 0.3× 11 0.5× 10 368

Countries citing papers authored by Gemma Turón

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Turón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma Turón

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

All Works

12 of 12 papers shown
1.
2.
Turón, Gemma, et al.. (2024). The Chemical Space Spanned by Manually Curated Datasets of Natural and Synthetic Compounds with Activities against SARS‐CoV‐2. Molecular Informatics. 44(1). e202400293–e202400293. 2 indexed citations
3.
Turón, Gemma, et al.. (2024). AI can help to tailor drugs for Africa — but Africans should lead the way. Nature. 628(8007). 265–267. 6 indexed citations
4.
Turón, Gemma, et al.. (2024). Infectious Disease Research Laboratories in Africa Are Not Using AI Yet─Large Language Models May Facilitate Adoption. ACS Infectious Diseases. 10(9). 3083–3085. 1 indexed citations
5.
Turón, Gemma, Edwin G. Tse, Xin Qiu, Matthew H. Todd, & Miquel Duran‐Frigola. (2024). Open Source Code Contributions to Global Health: The Case of Antimalarial Drug Discovery. ACS Medicinal Chemistry Letters. 15(9). 1645–1650.
6.
Turón, Gemma, et al.. (2023). First fully-automated AI/ML virtual screening cascade implemented at a drug discovery centre in Africa. Nature Communications. 14(1). 5736–5736. 38 indexed citations
7.
Turón, Gemma, et al.. (2023). Machine Learning Approaches Identify Chemical Features for Stage-Specific Antimalarial Compounds. ACS Omega. 8(46). 43813–43826. 7 indexed citations
8.
Turón, Gemma, Conrad V. Simoben, Ian Tietjen, et al.. (2022). Artificial intelligence for antiviral drug discovery in low resourced settings: A perspective. 2. 7 indexed citations
9.
Morral, Clara, Jelena Stanisavljević, Xavier Hernando‐Momblona, et al.. (2020). Zonation of Ribosomal DNA Transcription Defines a Stem Cell Hierarchy in Colorectal Cancer. Cell stem cell. 26(6). 845–861.e12. 49 indexed citations
10.
Duran‐Frigola, Miquel, Martino Bertoni, Eduardo Pauls, et al.. (2020). Bioactivity Profile Similarities to Expand the Repertoire of COVID-19 Drugs. Journal of Chemical Information and Modeling. 60(12). 5730–5734. 2 indexed citations
11.
Gentilella, Antonio, Pedro Juan Barrios Fuentes, Guilherme Z. Rocha, et al.. (2017). Autogenous Control of 5′TOP mRNA Stability by 40S Ribosomes. Molecular Cell. 67(1). 55–70.e4. 83 indexed citations
12.
Cortina, Carme, Gemma Turón, Xavier Hernando‐Momblona, et al.. (2017). A genome editing approach to study cancer stem cells in human tumors. EMBO Molecular Medicine. 9(7). 869–879. 89 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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