Adrià Cereto‐Massagué
- Computational Theory and Mathematics top 0.5%
- Molecular Biology top 10%
- Materials Chemistry
- Pharmacology top 5%
- Infectious Diseases top 10%
- Co-authors
- Gerard PujadasSantiago Garcı́a-VallvéMiquel MuleroMaría José OjedaCristina VallsAleix GimenoRaúl Beltrán‐DebónSarah Tomas‐Hernández
- Topics
- Computational Drug Discovery Methods (9 papers)Metabolomics and Mass Spectrometry Studies (4 papers)SARS-CoV-2 and COVID-19 Research (3 papers)
- Partner nations
- SpainUnited StatesFinland
In The Last Decade
Adrià Cereto‐Massagué
19 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computational Theory and Mathematics 872
- Molecular Biology 781
- Materials Chemistry 252
- Pharmacology 191
- Infectious Diseases 181
Countries citing papers authored by Adrià Cereto‐Massagué
This map shows the geographic impact of Adrià Cereto‐Massagué'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 Adrià Cereto‐Massagué with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrià Cereto‐Massagué more than expected).
Fields of papers citing papers by Adrià Cereto‐Massagué
This network shows the impact of papers produced by Adrià Cereto‐Massagué. 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 Adrià Cereto‐Massagué. The network helps show where Adrià Cereto‐Massagué may publish in the future.
Co-authorship network of co-authors of Adrià Cereto‐Massagué
This figure shows the co-authorship network connecting the top 25 collaborators of Adrià Cereto‐Massagué. A scholar is included among the top collaborators of Adrià Cereto‐Massagué 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 Adrià Cereto‐Massagué. Adrià Cereto‐Massagué is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 12 | |
| 6 | 59 | |
| 7 | 5 | |
| 8 | 120 | |
| 9 | 5 | |
| 10 | 183 | |
| 11 | 1 | |
| 12 | 39 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 17 | |
| 16 | 105 | |
| 17 | Molecular fingerprint similarity search in virtual screeningbreakdown → | 552 |
| 18 | 38 | |
| 19 | 39 | |
| 20 | 155 |
About Adrià Cereto‐Massagué
Adrià Cereto‐Massagué is a scholar working on Computational Theory and Mathematics, Toxicology and Infectious Diseases, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (872 citations), Molecular Biology (781 citations) and Pharmacology (191 citations). Adrià Cereto‐Massagué has collaborated with scholars based in Spain, United States and Finland. Frequent co-authors include Gerard Pujadas, Santiago Garcı́a-Vallvé, Miquel Mulero, María José Ojeda, Cristina Valls, Aleix Gimeno, Raúl Beltrán‐Debón, Sarah Tomas‐Hernández, Laura Guasch and Lluı́s Arola. Their work appears in journals such as Bioinformatics, PLoS ONE and Journal of Agricultural and Food Chemistry.
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.