Susana Revilla

895 total citations
8 papers, 756 citations indexed

About

Susana Revilla is a scholar working on Physiology, Biological Psychiatry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Susana Revilla has authored 8 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Biological Psychiatry and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Susana Revilla's work include Alzheimer's disease research and treatments (5 papers), Biochemical effects in animals (3 papers) and Tryptophan and brain disorders (3 papers). Susana Revilla is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Biochemical effects in animals (3 papers) and Tryptophan and brain disorders (3 papers). Susana Revilla collaborates with scholars based in Spain, United States and Australia. Susana Revilla's co-authors include Coral Sanfeliu, Lydia Giménez‐Llort, Rosa Cristòfol, Yoelvis García‐Mesa, Cristina Suñol, José M. Delgado‐García, Juan Carlos López, Frank M. LaFerla, Agnès Gruart and Marco Castro and has published in prestigious journals such as Scientific Reports, Psychoneuroendocrinology and Neuropharmacology.

In The Last Decade

Susana Revilla

8 papers receiving 747 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Susana Revilla Spain	7	439	182	159	145	144	8	756
Nour Barmo Lebanon	7	249 0.6×	99 0.5×	136 0.9×	230 1.6×	109 0.8×	10	662
Grietje Krabbe United States	8	450 1.0×	661 3.6×	159 1.0×	206 1.4×	166 1.2×	8	1.1k
Letícia Rodrigues Brazil	17	275 0.6×	317 1.7×	188 1.2×	308 2.1×	101 0.7×	34	974
Patrick Nasrallah Lebanon	5	235 0.5×	73 0.4×	126 0.8×	185 1.3×	102 0.7×	6	564
Caroline Zanotto Brazil	17	146 0.3×	153 0.8×	176 1.1×	222 1.5×	110 0.8×	26	799
Jingxian Han China	17	319 0.7×	287 1.6×	98 0.6×	251 1.7×	72 0.5×	53	971
Maria Bilen United States	6	228 0.5×	71 0.4×	122 0.8×	208 1.4×	84 0.6×	8	569
Anna Parachikova United States	14	652 1.5×	401 2.2×	210 1.3×	306 2.1×	192 1.3×	14	1.2k
Asadollah Zarifkar Iran	13	235 0.5×	180 1.0×	195 1.2×	141 1.0×	97 0.7×	40	697
Adriana Fernanda K. Vizuete Brazil	18	215 0.5×	204 1.1×	207 1.3×	275 1.9×	72 0.5×	41	797

Countries citing papers authored by Susana Revilla

Since Specialization

Citations

This map shows the geographic impact of Susana Revilla'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 Susana Revilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susana Revilla more than expected).

Fields of papers citing papers by Susana Revilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susana Revilla. 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 Susana Revilla. The network helps show where Susana Revilla may publish in the future.

Co-authorship network of co-authors of Susana Revilla

This figure shows the co-authorship network connecting the top 25 collaborators of Susana Revilla. A scholar is included among the top collaborators of Susana Revilla 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 Susana Revilla. Susana Revilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Corpas, Rubén, Susana Revilla, Marco Castro, et al.. (2016). SIRT1 Overexpression in Mouse Hippocampus Induces Cognitive Enhancement Through Proteostatic and Neurotrophic Mechanisms. Molecular Neurobiology. 54(7). 5604–5619. 94 indexed citations

Slevin, Mark, Sabine Matou, Rubén Corpas, et al.. (2015). Monomeric C-reactive protein-a key molecule driving development of Alzheimer’s disease associated with brain ischaemia?. Scientific Reports. 5(1). 13281–13281. 101 indexed citations

Revilla, Susana, María Jesús Álvarez‐López, Marco Castro, et al.. (2014). Lenti‐GDNF Gene Therapy Protects Against Alzheimer's Disease‐Like Neuropathology in 3xTg‐AD Mice and MC65 Cells. CNS Neuroscience & Therapeutics. 20(11). 961–972. 94 indexed citations

García‐Mesa, Yoelvis, Hélios Pareja-Galeano, Vicent Bonet-Costa, et al.. (2014). Physical exercise neuroprotects ovariectomized 3xTg-AD mice through BDNF mechanisms. Psychoneuroendocrinology. 45. 154–166. 60 indexed citations

Revilla, Susana, Cristina Suñol, Yoelvis García‐Mesa, et al.. (2014). Physical exercise improves synaptic dysfunction and recovers the loss of survival factors in 3xTg-AD mouse brain. Neuropharmacology. 81. 55–63. 108 indexed citations

García‐Mesa, Yoelvis, Juan Carlos López, Lydia Giménez‐Llort, et al.. (2011). Physical Exercise Protects Against Alzheimer's Disease in 3xTg-AD Mice. Journal of Alzheimer s Disease. 24(3). 421–454. 217 indexed citations

Giménez‐Llort, Lydia, et al.. (2010). Gender-Specific Neuroimmunoendocrine Response to Treadmill Exercise in 3xTg-AD Mice. International Journal of Alzheimer s Disease. 2010. 1–17. 81 indexed citations

Revilla, Susana, et al.. (2009). P4‐041: Voluntary exercise ameliorates both cognitive and noncognitive symptoms in the 3xTgAD mouse. Alzheimer s & Dementia. 5(4S_Part_15). 1 indexed citations

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.

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