María Dolores Martin‐de‐Saavedra
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Genetics top 10%
- Pharmacology top 5%
- Biological Psychiatry top 2%
- Co-authors
- Manuela G. LópezLaura del BarrioJavier EgeaAlejandro RomeroJosiane BudniAna Lúcia S. RodriguesPeter PenzesCarla I. Tasca
- Topics
- Neuroscience and Neuropharmacology Research (12 papers)Cellular transport and secretion (7 papers)Genetics and Neurodevelopmental Disorders (6 papers)
- Partner nations
- SpainUnited StatesBrazil
In The Last Decade
María Dolores Martin‐de‐Saavedra
35 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 518
- Cellular and Molecular Neuroscience 266
- Genetics 191
- Pharmacology 178
- Biological Psychiatry 174
Countries citing papers authored by María Dolores Martin‐de‐Saavedra
This map shows the geographic impact of María Dolores Martin‐de‐Saavedra'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 María Dolores Martin‐de‐Saavedra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Dolores Martin‐de‐Saavedra more than expected).
Fields of papers citing papers by María Dolores Martin‐de‐Saavedra
This network shows the impact of papers produced by María Dolores Martin‐de‐Saavedra. 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 María Dolores Martin‐de‐Saavedra. The network helps show where María Dolores Martin‐de‐Saavedra may publish in the future.
Co-authorship network of co-authors of María Dolores Martin‐de‐Saavedra
This figure shows the co-authorship network connecting the top 25 collaborators of María Dolores Martin‐de‐Saavedra. A scholar is included among the top collaborators of María Dolores Martin‐de‐Saavedra 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 María Dolores Martin‐de‐Saavedra. María Dolores Martin‐de‐Saavedra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 27 | |
| 8 | 7 | |
| 9 | 37 | |
| 10 | 6 | |
| 11 | 37 | |
| 12 | 13 | |
| 13 | 21 | |
| 14 | 118 | |
| 15 | 35 | |
| 16 | 100 | |
| 17 | 71 | |
| 18 | 42 | |
| 19 | 27 | |
| 20 | 4 |
About María Dolores Martin‐de‐Saavedra
María Dolores Martin‐de‐Saavedra is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Cell Biology, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Cellular transport and secretion (7 papers) and Genetics and Neurodevelopmental Disorders (6 papers). The work is most often cited by research in Biological Psychiatry (174 citations), Behavioral Neuroscience (89 citations) and Physiology (77 citations). María Dolores Martin‐de‐Saavedra has collaborated with scholars based in Spain, United States and Brazil. Frequent co-authors include Manuela G. López, Laura del Barrio, Javier Egea, Alejandro Romero, Josiane Budni, Ana Lúcia S. Rodrigues, Peter Penzes, Carla I. Tasca, Manuel Avilés and Esther Parada. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.