Noemí del‐Toro

12.6k total citations · 1 hit paper
17 papers, 3.7k citations indexed

About

Noemí del‐Toro is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Noemí del‐Toro has authored 17 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Spectroscopy and 5 papers in Computational Theory and Mathematics. Recurrent topics in Noemí del‐Toro's work include Bioinformatics and Genomic Networks (9 papers), Advanced Proteomics Techniques and Applications (8 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Noemí del‐Toro is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Advanced Proteomics Techniques and Applications (8 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Noemí del‐Toro collaborates with scholars based in United Kingdom, United States and Germany. Noemí del‐Toro's co-authors include Henning Hermjakob, Juan Antonio Vizcaíno, Yasset Pérez‐Riverol, Rui Wang, José A. Dianes, Johannes Griss, Tobias Ternent, Florian Reisinger, Attila Csordás and Gerhard Mayer and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

In The Last Decade

Noemí del‐Toro

17 papers receiving 3.7k 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.

2016 update of the PRIDE database and its related tools

2015 3.0k citations Juan Antonio Vizcaíno, Attila Csordás et al. Nucleic Acids Research profile →

Peers

Noemí del‐Toro

SPECT

IMMUN

GENET

Tobias Ternent United Kingdom

Gerhard Mayer Germany

David García‐Seisdedos Spain

Jingwen Bai China

Deepti J Kundu United Kingdom

Shengbo Wang United Kingdom

Chakradhar Bandla United Kingdom

Mathias Walzer Germany

Suresh Hewapathirana United Kingdom

Selvakumar Kamatchinathan United Kingdom

Tobias Ternent United Kingdom

Noemí del‐Toro

2.6k ×1.0

731 ×1.1

SPECT

369 ×1.1

IMMUN

359 ×1.1

323 ×1.0

GENET

Citations per year, relative to Noemí del‐Toro Noemí del‐Toro (= 1×) peers Tobias Ternent

Countries citing papers authored by Noemí del‐Toro

Since Specialization

Citations

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

Fields of papers citing papers by Noemí del‐Toro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noemí del‐Toro. 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 Noemí del‐Toro. The network helps show where Noemí del‐Toro may publish in the future.

Co-authorship network of co-authors of Noemí del‐Toro

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

All Works

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17 of 17 papers shown

Panneerselvam, Kalpana, Pablo Porras, Noemí del‐Toro, et al.. (2024). IntAct Database for Accessing IMEx's Contextual Metadata of Molecular Interactions. Current Protocols. 4(10). e70018–e70018. 3 indexed citations

Barrio‐Hernandez, Inigo, Jeremy Schwartzentruber, Anjali Shrivastava, et al.. (2023). Network expansion of genetic associations defines a pleiotropy map of human cell biology. Nature Genetics. 55(3). 389–398. 42 indexed citations

Meldal, Birgit, Carles Pons, Livia Perfetto, et al.. (2021). Analysing the yeast complexome—the Complex Portal rising to the challenge. Nucleic Acids Research. 49(6). 3156–3167. 4 indexed citations

Meldal, Birgit, Livia Perfetto, Colin Combe, et al.. (2021). Complex Portal 2022: new curation frontiers. Nucleic Acids Research. 50(D1). D578–D586. 37 indexed citations

Ragueneau, Eliot, Anjali Shrivastava, John H. Morris, et al.. (2021). IntAct App: a Cytoscape application for molecular interaction network visualization and analysis. Bioinformatics. 37(20). 3684–3685. 22 indexed citations

Perfetto, Livia, Chiara Pastrello, Noemí del‐Toro, et al.. (2020). The IMEx coronavirus interactome: an evolving map of Coronaviridae –host molecular interactions. Database. 2020. 25 indexed citations

Koch, M. H. J., Anjali Shrivastava, Diego Alonso‐López, et al.. (2018). JAMI: a Java library for molecular interactions and data interoperability. BMC Bioinformatics. 19(1). 133–133. 3 indexed citations

Meldal, Birgit, Hema Bye‐A‐Jee, Livia Perfetto, et al.. (2018). Complex Portal 2018: extended content and enhanced visualization tools for macromolecular complexes. Nucleic Acids Research. 47(D1). D550–D558. 76 indexed citations

Griss, Johannes, Yasset Pérez‐Riverol, David L. Tabb, et al.. (2016). Recognizing millions of consistently unidentified spectra across hundreds of shotgun proteomics datasets. Nature Methods. 13(8). 651–656. 118 indexed citations

10.

Odriozola, Leticia, Ana Martínez‐Val, Noemí del‐Toro, et al.. (2016). Detection of Missing Proteins Using the PRIDE Database as a Source of Mass Spectrometry Evidence. Journal of Proteome Research. 15(11). 4101–4115. 11 indexed citations

11.

Reisinger, Florian, Noemí del‐Toro, Tobias Ternent, Henning Hermjakob, & Juan Antonio Vizcaíno. (2015). Introducing the PRIDE Archive RESTful web services. Nucleic Acids Research. 43(W1). W599–W604. 14 indexed citations

12.

Pérez‐Riverol, Yasset, Rui Wang, Julian Uszkoreit, et al.. (2015). PRIDE Inspector Toolsuite: Moving Toward a Universal Visualization Tool for Proteomics Data Standard Formats and Quality Assessment of ProteomeXchange Datasets. Molecular & Cellular Proteomics. 15(1). 305–317. 135 indexed citations

13.

Villaveces, José, Rafael C. Jiménez, Pablo Porras, et al.. (2015). Merging and scoring molecular interactions utilising existing community standards: tools, use-cases and a case study. Database. 2015(0). bau131–bau131. 55 indexed citations

14.

Vizcaíno, Juan Antonio, Attila Csordás, Noemí del‐Toro, et al.. (2015). 2016 update of the PRIDE database and its related tools. Nucleic Acids Research. 44(D1). D447–D456. 2962 indexed citations breakdown →

15.

Pérez‐Riverol, Yasset, Julian Uszkoreit, Aniel Sánchez, et al.. (2015). ms-data-core-api: an open-source, metadata-oriented library for computational proteomics. Bioinformatics. 31(17). 2903–2905. 24 indexed citations

16.

del‐Toro, Noemí, Marine Dumousseau, Sandra Orchard, et al.. (2013). A new reference implementation of the PSICQUIC web service. Nucleic Acids Research. 41(W1). W601–W606. 70 indexed citations

17.

García, Leyla, Gustavo A Salazar, José Villaveces, et al.. (2013). BioJS: an open source JavaScript framework for biological data visualization. Bioinformatics. 29(8). 1103–1104. 60 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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