Madalena Chaves
- Molecular Biology top 10%
- Genetics
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Eduardo D. SontagRéka AlbertLaurent TournierJean‐Luc GouzéDiego A. OyarzúnFrank AllgöwerThomas EißingAnirvan M. Sengupta
- Topics
- Gene Regulatory Network Analysis (53 papers)Microbial Metabolic Engineering and Bioproduction (19 papers)Protein Structure and Dynamics (9 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Madalena Chaves
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 897
- Genetics 161
- Computational Theory and Mathematics 131
- Computer Networks and Communications 95
- Control and Systems Engineering 94
Countries citing papers authored by Madalena Chaves
This map shows the geographic impact of Madalena Chaves'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 Madalena Chaves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madalena Chaves more than expected).
Fields of papers citing papers by Madalena Chaves
This network shows the impact of papers produced by Madalena Chaves. 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 Madalena Chaves. The network helps show where Madalena Chaves may publish in the future.
Co-authorship network of co-authors of Madalena Chaves
This figure shows the co-authorship network connecting the top 25 collaborators of Madalena Chaves. A scholar is included among the top collaborators of Madalena Chaves 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 Madalena Chaves. Madalena Chaves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 25 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | El concepto del valor de la vida bajo el paradigma de la complejidad | 0 |
| 9 | La simbiosis paciente – médico… un reto en la búsqueda de la salud | 0 |
| 10 | 2 | |
| 11 | 20 | |
| 12 | 5 | |
| 13 | 24 | |
| 14 | 14 | |
| 15 | 68 | |
| 16 | 63 | |
| 17 | 63 | |
| 18 | 101 | |
| 19 | 246 | |
| 20 | 15 |
About Madalena Chaves
Madalena Chaves is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Biophysics, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (53 papers), Microbial Metabolic Engineering and Bioproduction (19 papers) and Protein Structure and Dynamics (9 papers). The work is most often cited by research in Molecular Biology (897 citations), Modeling and Simulation (51 citations) and Biophysics (48 citations). Madalena Chaves has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Eduardo D. Sontag, Réka Albert, Laurent Tournier, Jean‐Luc Gouzé, Diego A. Oyarzún, Frank Allgöwer, Thomas Eißing, Anirvan M. Sengupta, Robert J. Dinerstein and Franck Delaunay. Their work appears in journals such as PLoS ONE, The Journal of Physical Chemistry B and IEEE Transactions on Automatic Control.
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.