María Llorens‐Martín
- Developmental Neuroscience top 0.1%
- Physiology top 1%
- Cellular and Molecular Neuroscience top 1%
- Neurology top 0.5%
- Molecular Biology top 10%
- Co-authors
- Jesús ÁvilaAlberto RábanoJosé Luís TrejoIgnacio Torres‐AlemánJulia Terreros‐RoncalElena P. Moreno‐JiménezMiguel Flor‐GarcíaFélix Hernández
- Topics
- Neurogenesis and neuroplasticity mechanisms (43 papers)Neuroinflammation and Neurodegeneration Mechanisms (27 papers)Neuroscience and Neuropharmacology Research (21 papers)
- Partner nations
- SpainUnited StatesArgentina
In The Last Decade
María Llorens‐Martín
64 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Developmental Neuroscience 2.0k
- Physiology 1.5k
- Cellular and Molecular Neuroscience 1.4k
- Neurology 1.3k
- Molecular Biology 1.2k
Countries citing papers authored by María Llorens‐Martín
This map shows the geographic impact of María Llorens‐Martín'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 Llorens‐Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Llorens‐Martín more than expected).
Fields of papers citing papers by María Llorens‐Martín
This network shows the impact of papers produced by María Llorens‐Martín. 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 Llorens‐Martín. The network helps show where María Llorens‐Martín may publish in the future.
Co-authorship network of co-authors of María Llorens‐Martín
This figure shows the co-authorship network connecting the top 25 collaborators of María Llorens‐Martín. A scholar is included among the top collaborators of María Llorens‐Martín 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 Llorens‐Martín. María Llorens‐Martín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 12 | |
| 7 | 30 | |
| 8 | 15 | |
| 9 | 17 | |
| 10 | 85 | |
| 11 | 176 | |
| 12 | 14 | |
| 13 | 31 | |
| 14 | 54 | |
| 15 | 74 | |
| 16 | 62 | |
| 17 | 33 | |
| 18 | 62 | |
| 19 | 66 | |
| 20 | 61 |
About María Llorens‐Martín
María Llorens‐Martín is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 66 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (43 papers), Neuroinflammation and Neurodegeneration Mechanisms (27 papers) and Neuroscience and Neuropharmacology Research (21 papers). The work is most often cited by research in Developmental Neuroscience (2.0k citations), Neurology (1.3k citations) and Biological Psychiatry (300 citations). María Llorens‐Martín has collaborated with scholars based in Spain, United States and Argentina. Frequent co-authors include Jesús Ávila, Alberto Rábano, José Luís Trejo, Ignacio Torres‐Alemán, Julia Terreros‐Roncal, Elena P. Moreno‐Jiménez, Miguel Flor‐García, Félix Hernández, Noemí Pallas‐Bazarra and Jerónimo Jurado‐Arjona. Their work appears in journals such as Science, Journal of Biological Chemistry and Nature Medicine.
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.