David Ochoa

4.9k total citations · 2 hit papers
26 papers, 1.3k citations indexed

About

David Ochoa is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, David Ochoa has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 4 papers in Genetics. Recurrent topics in David Ochoa's work include Bioinformatics and Genomic Networks (15 papers), Computational Drug Discovery Methods (4 papers) and Genomics and Phylogenetic Studies (4 papers). David Ochoa is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Computational Drug Discovery Methods (4 papers) and Genomics and Phylogenetic Studies (4 papers). David Ochoa collaborates with scholars based in United Kingdom, Germany and United States. David Ochoa's co-authors include Pedro Beltrão, Florencio Pazos, Ian Dunham, Maya Ghoussaini, Mohd Anisul Karim, Cristina Viéitez, Ellen M. McDonagh, Kyung‐Min Noh, Luz García‐Alonso and Anthony D. Hill and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

David Ochoa

24 papers receiving 1.3k citations

Hit Papers

The functional landscape of the human phosphoproteome 2019 2026 2021 2023 2019 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Ochoa United Kingdom 17 1.0k 245 172 138 89 26 1.3k
Luz García‐Alonso United Kingdom 15 1.1k 1.1× 161 0.7× 150 0.9× 156 1.1× 164 1.8× 23 1.5k
Martin Frejno Germany 15 925 0.9× 116 0.5× 283 1.6× 133 1.0× 99 1.1× 17 1.3k
Inigo Barrio‐Hernandez United Kingdom 14 883 0.9× 170 0.7× 77 0.4× 129 0.9× 65 0.7× 22 1.2k
Fuxiao Xin United States 8 1.1k 1.0× 323 1.3× 74 0.4× 83 0.6× 56 0.6× 10 1.3k
Anna Malovannaya United States 22 1.4k 1.4× 369 1.5× 210 1.2× 294 2.1× 142 1.6× 55 1.9k
Erik Björling Sweden 10 1.0k 1.0× 94 0.4× 258 1.5× 138 1.0× 93 1.0× 13 1.3k
Peter Blattmann Switzerland 14 550 0.5× 140 0.6× 123 0.7× 132 1.0× 259 2.9× 25 1.0k
Per Oksvold Sweden 12 804 0.8× 86 0.4× 204 1.2× 106 0.8× 79 0.9× 16 1.1k
Douglas H. Phanstiel United States 18 1.6k 1.6× 180 0.7× 364 2.1× 134 1.0× 110 1.2× 41 2.0k
Andrew B. Stergachis United States 15 1.4k 1.3× 239 1.0× 190 1.1× 74 0.5× 87 1.0× 42 1.7k

Countries citing papers authored by David Ochoa

Since Specialization
Citations

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

Fields of papers citing papers by David Ochoa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Ochoa

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

All Works

20 of 20 papers shown
1.
Tirunagari, Santosh, Shyamasree Saha, Aravind Venkatesan, et al.. (2025). Lit-OTAR framework for extracting biological evidences from literature. Bioinformatics. 41(4). 4 indexed citations
2.
McDonagh, Ellen M., David Ochoa, Polina Rusina, et al.. (2025). Temporal trends in evidence supporting novel drug target discovery. Nature Communications. 17(1). 492–492.
3.
Fumis, Luca, Juan María Roldán‐Romero, Poonam Uniyal, et al.. (2025). Associations on the Fly, a new feature aiming to facilitate exploration of the Open Targets Platform evidence. Bioinformatics. 41(4).
4.
Razuvayevskaya, Olesya, et al.. (2024). Genetic factors associated with reasons for clinical trial stoppage. Nature Genetics. 56(9). 1862–1867. 14 indexed citations
5.
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
6.
Karim, Mohd Anisul, Leo Speidel, Lisa Logie, et al.. (2023). Integrative GWAS and co-localisation analysis suggests novel genes associated with age-related multimorbidity. Scientific Data. 10(1). 655–655. 3 indexed citations
7.
Mountjoy, Edward, Ellen M. Schmidt, Miguel Carmona, et al.. (2021). An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci. Nature Genetics. 53(11). 1527–1533. 223 indexed citations breakdown →
8.
Schneider, Melanie, Chris J. Radoux, David Ochoa, et al.. (2021). The PROTACtable genome. Nature Reviews Drug Discovery. 20(10). 789–797. 162 indexed citations
9.
Memon, Danish, Michael B. Gill, Evangelia K. Papachristou, et al.. (2021). Copy number aberrations drive kinase rewiring, leading to genetic vulnerabilities in cancer. Cell Reports. 35(7). 109155–109155. 10 indexed citations
10.
Shilts, Jarrod, Jeremy Schwartzentruber, James Hayhurst, et al.. (2021). A proteome-wide genetic investigation identifies several SARS-CoV-2-exploited host targets of clinical relevance. eLife. 10. 21 indexed citations
11.
Strumillo, Marta, Cristina Viéitez, David Ochoa, et al.. (2019). Conserved phosphorylation hotspots in eukaryotic protein domain families. Nature Communications. 10(1). 1977–1977. 37 indexed citations
12.
Ochoa, David, Andrew F. Jarnuczak, Cristina Viéitez, et al.. (2019). The functional landscape of the human phosphoproteome. Nature Biotechnology. 38(3). 365–373. 300 indexed citations breakdown →
13.
Hernández-Armenta, Claudia, David Ochoa, Emanuel Gonçalves, Julio Sáez-Rodríguez, & Pedro Beltrão. (2017). Benchmarking substrate-based kinase activity inference using phosphoproteomic data. Bioinformatics. 33(12). 1845–1851. 51 indexed citations
14.
Gonçalves, Emanuel, Mattia Zampieri, Omar Wagih, et al.. (2017). Systematic Analysis of Transcriptional and Post-transcriptional Regulation of Metabolism in Yeast. PLoS Computational Biology. 13(1). e1005297–e1005297. 26 indexed citations
15.
Ochoa, David, Robert Lawrence, Bachir El Debs, et al.. (2016). An atlas of human kinase regulation. Molecular Systems Biology. 12(12). 888–888. 69 indexed citations
16.
Juan, David, Juliane Perner, Enrique Carrillo de Santa Pau, et al.. (2016). Epigenomic Co-localization and Co-evolution Reveal a Key Role for 5hmC as a Communication Hub in the Chromatin Network of ESCs. Cell Reports. 14(5). 1246–1257. 30 indexed citations
17.
Ochoa, David & Florencio Pazos. (2014). Practical aspects of protein co-evolution. Frontiers in Cell and Developmental Biology. 2. 14–14. 24 indexed citations
18.
Ochoa, David, et al.. (2012). Incorporating information on predicted solvent accessibility to the co-evolution-based study of protein interactions. Molecular BioSystems. 9(1). 70–76. 6 indexed citations
19.
Herman, Dorota, et al.. (2011). Selection of organisms for the co-evolution-based study of protein interactions. BMC Bioinformatics. 12(1). 363–363. 12 indexed citations
20.
Calabretta, Bruno, Leszek Kaczmarek, David Ochoa, et al.. (1985). Cell-cycle-specific genes differentially expressed in human leukemias.. Proceedings of the National Academy of Sciences. 82(13). 4463–4467. 79 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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