Tomás Alarcón
- Molecular Biology top 5%
- Modeling and Simulation top 0.2%
- Oncology top 5%
- Cancer Research top 5%
- Cell Biology top 2%
- Co-authors
- Philip K. MainiHelen M. ByrneMarkus R. OwenJavier A. MenéndezElisabet CuyàsM López-BreaJorge JovenS. David Webb
- Topics
- Mathematical Biology Tumor Growth (28 papers)Gene Regulatory Network Analysis (25 papers)Helicobacter pylori-related gastroenterology studies (21 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersThe Journal of Chemical Physics
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Tomás Alarcón
135 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 162
- Molecular Biology 1.4k
- Modeling and Simulation 1.2k
- Oncology 671
- Cancer Research 558
- Cell Biology 530
Countries citing papers authored by Tomás Alarcón
This map shows the geographic impact of Tomás Alarcón'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 Tomás Alarcón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomás Alarcón more than expected).
Fields of papers citing papers by Tomás Alarcón
This network shows the impact of papers produced by Tomás Alarcón. 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 Tomás Alarcón. The network helps show where Tomás Alarcón may publish in the future.
Co-authorship network of co-authors of Tomás Alarcón
This figure shows the co-authorship network connecting the top 25 collaborators of Tomás Alarcón. A scholar is included among the top collaborators of Tomás Alarcón 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 Tomás Alarcón. Tomás Alarcón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 9 | |
| 5 | 39 | |
| 6 | 19 | |
| 7 | 6 | |
| 8 | Local migration quantification method for scratch assays | 106 |
| 9 | 21 | |
| 10 | 18 | |
| 11 | 39 | |
| 12 | The use of hybrid cellular automaton models for improving cancer therapy, In Proceedings, Cellular Automata: 6th International Conference on Cellular Automata for Research and Industry, ACRI 2004, Amsterdam, The Netherlands, eds P.M.A. Sloot, B. Chopard, A.G. Hoekstra | 1 |
| 13 | 83 | |
| 14 | 287 | |
| 15 | 88 | |
| 16 | 7 | |
| 17 | 138 | |
| 18 | 9 | |
| 19 | [Wilson's disease: a review apropos of a clinical experience in 16 patients]. | 3 |
| 20 | Indice de Barthel: instrumento válido para la valoración functional de pacientes con enfermedad cerebrovascular | 111 |
About Tomás Alarcón
Tomás Alarcón is a scholar working on Modeling and Simulation, Molecular Medicine and Applied Microbiology and Biotechnology, having authored 144 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (28 papers), Gene Regulatory Network Analysis (25 papers) and Helicobacter pylori-related gastroenterology studies (21 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Cancer Research (558 citations) and Cell Biology (530 citations). Tomás Alarcón has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Philip K. Maini, Helen M. Byrne, Markus R. Owen, Javier A. Menéndez, Elisabet Cuyàs, M López-Brea, Jorge Joven, S. David Webb, Bruna Corominas-Faja and D. Domingo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.
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.