Lorena de Mena
Impact in
Papers in
-
- RNA regulation and disease 4
- Heat shock proteins research 3
- Neurology 10
- Parkinson's Disease Mechanisms and Treatments 9
- Neurological disorders and treatments 3
- Co-authors
- Diego E. Rincón-Limas (9 shared papers)Pedro Fernández-Fúnez (5 shared papers)Victoria Álvarez (9 shared papers)Eliécer Coto (9 shared papers)René Ribacoba (7 shared papers)Carlos Salvador (4 shared papers)Ana I. Corao (6 shared papers)Manuel Menéndez‐González (5 shared papers)
- Journals
- Journal of Neural Transmission (2 papers)Journal of Molecular Neuroscience (2 papers)Movement Disorders (2 papers)Frontiers in Genetics (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Lorena de Mena
23 papers receiving 662 citations
Peers
Comparison fields: 5 of 67
- Aging 38
- Neurology 207
- Cellular and Molecular Neuroscience 194
- Neurology 63
- Physiology 174
Countries citing papers authored by Lorena de Mena
This map shows the geographic impact of Lorena de Mena'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 Lorena de Mena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena de Mena more than expected).
Fields of papers citing papers by Lorena de Mena
This network shows the impact of papers produced by Lorena de Mena. 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 Lorena de Mena. The network helps show where Lorena de Mena may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorena de Mena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 65 | |
| 2 | 2017 | 60 | |
| 3 | 2011 | 60 | |
| 4 | 2010 | 57 | |
| 5 | 2015 | 54 | |
| 6 | 2018 | 52 | |
| 7 | 2016 | 51 | |
| 8 | 2011 | 40 | |
| 9 | 2010 | 39 | |
| 10 | 2014 | 34 | |
| 11 | 2008 | 28 | |
| 12 | 2008 | 26 | |
| 13 | 2021 | 19 | |
| 14 | 2017 | 17 | |
| 15 | 2015 | 16 | |
| 16 | 2023 | 14 | |
| 17 | 2020 | 12 | |
| 18 | 2012 | 10 | |
| 19 | 2023 | 6 | |
| 20 | 2020 | 4 |
About Lorena de Mena
Lorena de Mena is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Physiology and Cell Biology, having authored 23 papers that have together received 671 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Alzheimer's disease research and treatments (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), RNA regulation and disease (4 papers), Heat shock proteins research (3 papers), Computational Drug Discovery Methods (3 papers), Nuclear Receptors and Signaling (3 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Aging (38 citations), Neurology (207 citations), Cellular and Molecular Neuroscience (194 citations), Neurology (63 citations) and Physiology (174 citations). Lorena de Mena has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Diego E. Rincón-Limas, Pedro Fernández-Fúnez, Victoria Álvarez, Eliécer Coto, René Ribacoba, Carlos Salvador, Ana I. Corao, Manuel Menéndez‐González, Lucía Cardo and Germán Morís. Their work appears in journals such as Journal of Neural Transmission, Journal of Molecular Neuroscience, Movement Disorders, Frontiers in Genetics and Human Molecular Genetics.
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.