Marta Pajares
- Molecular Biology top 5%
- Neurology top 2%
- Physiology top 10%
- Neurology top 5%
- Epidemiology top 10%
- Co-authors
- Antonio CuadradoAna I. RojoGina MandaLisardo BoscáÁngel J. García‐YagüeMasayuki YamamotoFred Van LeuvenMaribel Escoll
- Topics
- Genomics, phytochemicals, and oxidative stress (8 papers)Autophagy in Disease and Therapy (5 papers)Endoplasmic Reticulum Stress and Disease (3 papers)
- Cited by
- Biological PsychiatryNeurology
- Partner nations
- SpainRomaniaUnited Kingdom
In The Last Decade
Marta Pajares
18 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.4k
- Neurology 347
- Physiology 346
- Neurology 333
- Epidemiology 320
Countries citing papers authored by Marta Pajares
This map shows the geographic impact of Marta Pajares'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 Marta Pajares with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Pajares more than expected).
Fields of papers citing papers by Marta Pajares
This network shows the impact of papers produced by Marta Pajares. 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 Marta Pajares. The network helps show where Marta Pajares may publish in the future.
Co-authorship network of co-authors of Marta Pajares
This figure shows the co-authorship network connecting the top 25 collaborators of Marta Pajares. A scholar is included among the top collaborators of Marta Pajares 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 Marta Pajares. Marta Pajares is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 173 | |
| 3 | Inflammation in Parkinson’s Disease: Mechanisms and Therapeutic Implicationsbreakdown → | 535 |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 87 | |
| 7 | Transcription Factor NRF2 as a Therapeutic Target for Chronic Diseases: A Systems Medicine Approachbreakdown → | 506 |
| 8 | 1 | |
| 9 | 166 | |
| 10 | 181 | |
| 11 | 165 | |
| 12 | 2 | |
| 13 | 327 | |
| 14 | 56 | |
| 15 | 138 | |
| 16 | 42 | |
| 17 | 16 | |
| 18 | 30 |
About Marta Pajares
Marta Pajares is a scholar working on Biological Psychiatry, Physiology and Behavioral Neuroscience, having authored 18 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (8 papers), Autophagy in Disease and Therapy (5 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Biological Psychiatry (174 citations), Neurology (347 citations) and Neurology (333 citations). Marta Pajares has collaborated with scholars based in Spain, Romania and United Kingdom. Frequent co-authors include Antonio Cuadrado, Ana I. Rojo, Gina Manda, Lisardo Boscá, Ángel J. García‐Yagüe, Masayuki Yamamoto, Fred Van Leuven, Maribel Escoll, Natalia Jiménez-Moreno and Manuela G. López. Their work appears in journals such as Free Radical Biology and Medicine, Pharmacological Reviews and Trends in Pharmacological Sciences.
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.