Elena Martínez‐Sáez

6.1k total citations · 1 hit paper
64 papers, 1.6k citations indexed

About

Elena Martínez‐Sáez is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Elena Martínez‐Sáez has authored 64 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Genetics and 18 papers in Neurology. Recurrent topics in Elena Martínez‐Sáez's work include Glioma Diagnosis and Treatment (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Cancer Genomics and Diagnostics (6 papers). Elena Martínez‐Sáez is often cited by papers focused on Glioma Diagnosis and Treatment (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Cancer Genomics and Diagnostics (6 papers). Elena Martínez‐Sáez collaborates with scholars based in Spain, United States and Palestinian Territory. Elena Martínez‐Sáez's co-authors include Joan Seoane, Juan Sahuquillo, Francisco Martínez‐Ricarte, Santiago Ramón y Cajal, Laura Rodón, Alba Gonzàlez-Juncà, Joan Montaner, Vicente Peg, Mar Hernández‐Guillamón and José Jiménez and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Elena Martínez‐Sáez

61 papers receiving 1.6k citations

Hit Papers

The Human Microglia Atlas (HuMicA) unravels changes in di... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elena Martínez‐Sáez Spain 21 777 387 318 268 242 64 1.6k
Suash Sharma United States 21 622 0.8× 306 0.8× 163 0.5× 245 0.9× 306 1.3× 68 1.8k
Stéphan Saïkali France 23 701 0.9× 769 2.0× 372 1.2× 303 1.1× 273 1.1× 61 1.9k
Abhik Ray‐Chaudhury United States 22 943 1.2× 285 0.7× 557 1.8× 226 0.8× 322 1.3× 55 1.8k
T Nishikawa Japan 16 643 0.8× 623 1.6× 401 1.3× 227 0.8× 205 0.8× 44 1.6k
France Berthelet Canada 19 580 0.7× 204 0.5× 200 0.6× 422 1.6× 223 0.9× 39 1.6k
Tatyana V. Taksir United States 17 1.0k 1.3× 280 0.7× 337 1.1× 336 1.3× 334 1.4× 24 1.9k
Jörg Cammenga Sweden 26 1.2k 1.6× 393 1.0× 414 1.3× 335 1.3× 117 0.5× 65 2.4k
Helle Broholm Denmark 27 728 0.9× 936 2.4× 428 1.3× 316 1.2× 309 1.3× 91 2.1k
Alexandre Dubrac France 19 863 1.1× 213 0.6× 164 0.5× 247 0.9× 151 0.6× 35 1.5k
Kazuhiro Tanaka Japan 23 924 1.2× 491 1.3× 550 1.7× 180 0.7× 277 1.1× 85 1.8k

Countries citing papers authored by Elena Martínez‐Sáez

Since Specialization
Citations

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

Fields of papers citing papers by Elena Martínez‐Sáez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elena Martínez‐Sáez. 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 Elena Martínez‐Sáez. The network helps show where Elena Martínez‐Sáez may publish in the future.

Co-authorship network of co-authors of Elena Martínez‐Sáez

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

All Works

20 of 20 papers shown
1.
Calafell-Segura, Josep, Bárbara Leal, Javier Rodríguez‐Ubreva, et al.. (2025). The Human Microglia Atlas (HuMicA) unravels changes in disease-associated microglia subsets across neurodegenerative conditions. Nature Communications. 16(1). 739–739. 21 indexed citations breakdown →
2.
Dinia, Lavinia, Laura Ludovica Gramegna, Fuat Arikán, et al.. (2023). Wall enhancement as a biomarker of intracranial aneurysm instability: a histo-radiological study. Acta Neurochirurgica. 165(10). 2783–2791. 4 indexed citations
3.
Restrepo‐Vera, Juan Luis, Jordi Pérez‐Rodon, Marta Codina‐Solà, et al.. (2023). Limb-girdle myopathy and mild intellectual disability: The expanding spectrum of TANGO2-related disease. Neuromuscular Disorders. 33(6). 463–467. 1 indexed citations
4.
Martínez‐Sáez, Elena, et al.. (2023). Teaching NeuroImage: Paraneoplastic Cerebellar Degeneration and Antibodies to TRIM 9 and 67 Secondary to Melanoma. Neurology. 101(16). e1652–e1653. 1 indexed citations
5.
Camacho, Jessica, Alberto Rábano, Paula Marazuela, et al.. (2021). Association of CD2AP neuronal deposits with Braak neurofibrillary stage in Alzheimer’s disease. Brain Pathology. 32(1). e13016–e13016. 16 indexed citations
6.
Ramiro, Laura, Teresa García‐Berrocoso, Leire Goicoechea, et al.. (2021). Integrative Multi-omics Analysis to Characterize Human Brain Ischemia. Molecular Neurobiology. 58(8). 4107–4121. 15 indexed citations
7.
Marazuela, Paula, Montse Solé, Jessica Camacho, et al.. (2021). MFG-E8 (LACTADHERIN): a novel marker associated with cerebral amyloid angiopathy. Acta Neuropathologica Communications. 9(1). 154–154. 14 indexed citations
8.
Martínez‐Sáez, Elena, et al.. (2020). MR imaging findings in primary spinal cord glioblastoma. SHILAP Revista de lepidopterología. 16(1). 72–77. 3 indexed citations
9.
Escudero, Laura, Anna Llort, Ander Díaz‐Navarro, et al.. (2020). Circulating tumour DNA from the cerebrospinal fluid allows the characterisation and monitoring of medulloblastoma. Nature Communications. 11(1). 5376–5376. 77 indexed citations
12.
Cajal, Santiago Ramón y, Stefan Hümmer, Vicente Peg, et al.. (2019). Integrating clinical, molecular, proteomic and histopathological data within the tissue context: tissunomics. Histopathology. 75(1). 4–19. 7 indexed citations
13.
Martínez‐Sáez, Elena, et al.. (2018). Kir6.2, the Pore-Forming Subunit of ATP-Sensitive K + Channels, Is Overexpressed in Human Posttraumatic Brain Contusions. Journal of Neurotrauma. 36(1). 165–175. 12 indexed citations
14.
Poca, María A., et al.. (2017). Target location after deep cerebral biopsies using low-volume air injection in 75 patients. Results and technical note. Acta Neurochirurgica. 159(10). 1939–1946. 4 indexed citations
15.
Toledo, Manuel, Silvana Sarria‐Estrada, Manuel Quintana, et al.. (2016). Epileptic features and survival in glioblastomas presenting with seizures. Epilepsy Research. 130. 1–6. 51 indexed citations
16.
Martínez‐Sáez, Elena, Fuat Arikán, Esteban Cordero, et al.. (2015). Sulfonylurea Receptor 1 in Humans with Post-Traumatic Brain Contusions. Journal of Neurotrauma. 32(19). 1478–1487. 41 indexed citations
17.
Toledo, Manuel, Silvana Sarria‐Estrada, Manuel Quintana, et al.. (2015). Prognostic implications of epilepsy in glioblastomas. Clinical Neurology and Neurosurgery. 139. 166–171. 44 indexed citations
18.
Cicuéndez, Marta, Carles Lorenzo‐Bosquet, Gemma Cuberas‐Borrós, et al.. (2015). Role of [ 11 C] methionine positron emission tomography in the diagnosis and prediction of survival in brain tumours. Clinical Neurology and Neurosurgery. 139. 328–333. 13 indexed citations
19.
Rodón, Laura, Alba Gonzàlez-Juncà, María del Mar Inda, et al.. (2014). Active CREB1 Promotes a Malignant TGFβ2 Autocrine Loop in Glioblastoma. Cancer Discovery. 4(10). 1230–1241. 68 indexed citations
20.
Rodriguez, Roberta Diehl, María Rey, Alexandre Gironell, et al.. (2011). “Preclinical” MSA in definite Creutzfeldt‐Jakob disease. Neuropathology. 32(2). 158–163. 17 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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