Ferrán Sanz
About
In The Last Decade
Ferrán Sanz
182 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Molecular Biology 5.1k
- Computational Theory and Mathematics 1.6k
- Pharmacology 832
- Genetics 767
- Cancer Research 683
Countries citing papers authored by Ferrán Sanz
This map shows the geographic impact of Ferrán Sanz'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 Ferrán Sanz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferrán Sanz more than expected).
Fields of papers citing papers by Ferrán Sanz
This network shows the impact of papers produced by Ferrán Sanz. 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 Ferrán Sanz. The network helps show where Ferrán Sanz may publish in the future.
Co-authorship network of co-authors of Ferrán Sanz
This figure shows the co-authorship network connecting the top 25 collaborators of Ferrán Sanz. A scholar is included among the top collaborators of Ferrán Sanz 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 Ferrán Sanz. Ferrán Sanz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | The role of PPAR-γ in memory deficits induced by prenatal and lactation alcohol exposure in mice | Molecular Psychiatry | Antoni Pastor, Rafael de la Torre et al. | 5 |
| 2 | Making in silico predictive models for toxicology FAIR | Regulatory Toxicology and Pharmacology | M Cronin, Katharine Briggs et al. | 17 |
| 3 | Exploring the Association of Cancer and Depression in Electronic Health Records: Combining Encoded Diagnosis and Mining Free-Text Clinical Notes | JMIR Cancer | David Casadevall, Joan Albanell et al. | 2 |
| 4 | A system-level analysis of patient disease trajectories based on clinical, phenotypic and molecular similarities | Bioinformatics | Alexia Giannoula, Emilio Centeno et al. | 10 |
| 5 | Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study | Journal of Medical Internet Research | Francesco Ronzano, Miguel Ángel Mayer et al. | 1 |
| 6 | Clinical-Based and Expert Selection of Terms Related to Depression for Twitter Streaming and Language Analysis | Studies in health technology and informatics | Miguel Ángel Mayer, Francesco Ronzano et al. | 2 |
| 7 | Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis | Journal of Medical Internet Research | Francesco Ronzano, Miguel Ángel Mayer et al. | 70 |
| 8 | The DisGeNET knowledge platform for disease genomics: 2019 update breakdown → | Nucleic Acids Research | Janet Piñero, Juan Manuel Ramírez‐Anguita et al. | 1752 |
| 9 | comoRbidity: an R package for the systematic analysis of disease comorbidities | Bioinformatics | Alba Gutiérrez‐Sacristán, Álex Bravo et al. | 27 |
| 10 | In silico models in drug development: where we are | Current Opinion in Pharmacology | Janet Piñero, Laura I. Furlong et al. | 31 |
| 11 | Using Electronic Health Records to Assess Depression and Cancer Comorbidities. | PubMed | Miguel Ángel Mayer, Alba Gutiérrez‐Sacristán et al. | 7 |
| 12 | Genetic and functional characterization of disease associations explains comorbidity | Scientific Reports | Carlota Rubio-Pérez, Emre Güney et al. | 27 |
| 13 | DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases | Bioinformatics | Núria Queralt-Rosiñach, Janet Piñero et al. | 37 |
| 14 | DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants breakdown → | Nucleic Acids Research | Janet Piñero, Álex Bravo et al. | 1779 |
| 15 | The Impact of Computer Science in Molecular Medicine: Enabling High- Throughput Research | Current Topics in Medicinal Chemistry | Miguel García-Remesal, Casimir A. Kulikowski et al. | 8 |
| 16 | the Eu-adr Alliance: A Federated Collaborative Framework for Drug Safety Studies : 667. | Pharmacoepidemiology and Drug Safety | Eva Molero, Ferrán Sanz et al. | 1 |
| 17 | Molecular Diversity Sample Generation on the Basis of Quantum-Mechanical Computations and Principal Component Analysis | Combinatorial Chemistry & High Throughput Screening | Hugo Gutiérrez‐de‐Terán, Juan José Lozano et al. | 3 |
| 18 | Role of UEV-1, an Inactive Variant of the E2 UbiquitinConjugating Enzymes, in In Vitro Differentiation and Cell Cycle Behavior of HT-29-M6 Intestinal Mucosecretory Cells | Molecular and Cellular Biology | Elena Sancho, Maya R. Vilà et al. | 111 |
| 19 | Influence of nutrition, thyroid hormones, and rectal temperature on in-hospital mortality of elderly patients with acute illness | American Journal of Clinical Nutrition | Antonio Sitges‐Serra, Ferrán Sanz et al. | 16 |
| 20 | Validation of the Medical Expert System RENOIR | Computers and Biomedical Research | J. Sancho, Miguel Ángel Belmonte et al. | 20 |
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.