Marc Suárez‐Calvet

14.2k total citations · 4 hit papers
130 papers, 5.3k citations indexed

About

Marc Suárez‐Calvet is a scholar working on Physiology, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Marc Suárez‐Calvet has authored 130 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Physiology, 66 papers in Psychiatry and Mental health and 33 papers in Neurology. Recurrent topics in Marc Suárez‐Calvet's work include Dementia and Cognitive Impairment Research (65 papers), Alzheimer's disease research and treatments (63 papers) and Neuroinflammation and Neurodegeneration Mechanisms (27 papers). Marc Suárez‐Calvet is often cited by papers focused on Dementia and Cognitive Impairment Research (65 papers), Alzheimer's disease research and treatments (63 papers) and Neuroinflammation and Neurodegeneration Mechanisms (27 papers). Marc Suárez‐Calvet collaborates with scholars based in Spain, United Kingdom and Sweden. Marc Suárez‐Calvet's co-authors include Henrik Zetterberg, Kaj Blennow, José Luís Molinuevo, Rose Pitstick, Alix de Calignon, Manuela Polydoro, George A. Carlson, Tara L. Spires‐Jones, Bradley T. Hyman and Christopher William and has published in prestigious journals such as Nature Medicine, Neuron and Journal of Neuroscience.

In The Last Decade

Marc Suárez‐Calvet

113 papers receiving 5.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Propagation of Tau Pathology in a Model of Early Alzheimer's Disease

2012 1.1k citations Marc Suárez‐Calvet et al. profile →
Diagnostic performance and prediction of clinical progression of plasma phospho-tau181 in the Alzheimer’s Disease Neuroimaging Initiative

2020 218 citations Thomas K. Karikari, Andréa Lessa Benedet et al. Molecular Psychiatry profile →
Blood phospho-tau in Alzheimer disease: analysis, interpretation, and clinical utility

2022 170 citations Thomas K. Karikari, Nicholas J. Ashton et al. profile →
APOE4 homozygosity represents a distinct genetic form of Alzheimer’s disease

2024 140 citations Juan Fortea, Jordi Pegueroles et al. Nature Medicine profile →

Peers

Marc Suárez‐Calvet

PHYSI

NEURO

PMH

NEURO

Geidy E. Serrano United States

Annika Öhrfelt Sweden

Carlos Cruchaga United States

Enikò Kövari Switzerland

Kristel Sleegers Belgium

Shorena Janelidze Sweden

Seppo Helisalmi Finland

Christine A. F. Von Arnim Germany

Eizo Iseki Japan

Roberta Ghidoni Italy

Geidy E. Serrano United States

Marc Suárez‐Calvet

2.6k ×0.9

PHYSI

1.7k ×0.9

NEURO

1.3k ×0.8

PMH

1.8k ×1.4

2.2k ×2.4

NEURO

Citations per year, relative to Marc Suárez‐Calvet Marc Suárez‐Calvet (= 1×) peers Geidy E. Serrano

Countries citing papers authored by Marc Suárez‐Calvet

Since Specialization

Citations

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

Fields of papers citing papers by Marc Suárez‐Calvet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Suárez‐Calvet. 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 Marc Suárez‐Calvet. The network helps show where Marc Suárez‐Calvet may publish in the future.

Co-authorship network of co-authors of Marc Suárez‐Calvet

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

All Works

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20 of 20 papers shown

González‐Escalante, Armand, Marta Milà‐Alomà, Wagner S. Brum, et al.. (2025). A plasma biomarker panel for detecting early amyloid-β accumulation and its changes in middle-aged cognitively unimpaired individuals at risk for Alzheimer’s disease. EBioMedicine. 116. 105741–105741. 3 indexed citations

Yang, Chengran, Priyanka Gorijala, Jigyasha Timsina, et al.. (2025). Proteomic polygenic risk scores of age-related plasma protein levels reveal a role for Metalloproteinase inhibitor 2 (TIMP2) in cognitive performance. Neurobiology of Aging. 157. 68–78.

Palmqvist, Sebastian, Heather E. Whitson, Marc Suárez‐Calvet, et al.. (2025). Alzheimer's Association Clinical Practice Guideline on the use of blood‐based biomarkers in the diagnostic workup of suspected Alzheimer's disease within specialized care settings. Alzheimer s & Dementia. 21(7). e70535–e70535. 9 indexed citations

Suárez‐Calvet, Marc, Marta Milà‐Alomà, Juan Domingo Gispert, et al.. (2025). Longitudinal Associations of Multimodal Core 1 Alzheimer Disease Biomarkers With Cognition in Aging and Preclinical Alzheimer Disease. Neurology. 105(9). e214308–e214308. 1 indexed citations

Biel, Davina, Marc Suárez‐Calvet, Anna Dewenter, et al.. (2025). Female sex is linked to a stronger association between sTREM2 and CSF p-tau in Alzheimer’s disease. EMBO Molecular Medicine. 17(2). 235–248. 3 indexed citations

Sánchez‐Benavides, Gonzalo, Maríateresa Buongiorno, Alejandro de la Sierra, et al.. (2025). Blood pressure and Alzheimer’s disease biomarkers in cognitively unimpaired adults: a multicenter study. The Journal of Prevention of Alzheimer s Disease. 12(10). 100304–100304.

Kassinopoulos, Michalis, José María Gónzalez‐de‐Echávarri, Jordi Huguet, et al.. (2024). Cognitive reserve is associated with the recruitment of compensatory brain networks in individuals at risk for Alzheimer’s disease. Alzheimer s & Dementia. 20(S9).

Suárez‐Calvet, Marc, Carla Abdelnour, Daniel Alcolea, et al.. (2024). Biomarcadores en sangre para la enfermedad de Alzheimer: posicionamiento y recomendaciones de uso del Grupo de Estudio de Conducta y Demencias de la Sociedad Española de Neurología. Neurología. 40(7). 700–712.

Contador, José & Marc Suárez‐Calvet. (2024). Blood-based biomarkers in the oldest old: towards Alzheimer's disease detection in primary care. The Lancet Regional Health - Europe. 45. 101077–101077. 1 indexed citations

10.

García-Prat, Marina, Kaj Blennow, Henrik Zetterberg, et al.. (2024). Lifetime Stressful Events Associated with Alzheimer's Pathologies, Neuroinflammation and Brain Structure in a Risk Enriched Cohort. Annals of Neurology. 95(6). 1058–1068. 8 indexed citations

11.

Fortea, Juan, Jordi Pegueroles, Daniel Alcolea, et al.. (2024). APOE4 homozygosity represents a distinct genetic form of Alzheimer’s disease. Nature Medicine. 30(5). 1284–1291. 140 indexed citations breakdown →

12.

Al‐Tamimi, Jalal, Gonzalo Sánchez‐Benavides, Juan Domingo Gispert, et al.. (2024). Atypical cortical hierarchy in Aβ-positive older adults and its reflection in spontaneous speech. Brain Research. 1830. 148806–148806. 2 indexed citations

13.

Johnson, Sterling C., Marc Suárez‐Calvet, Ivonne Suridjan, et al.. (2023). Identifying clinically useful biomarkers in neurodegenerative disease through a collaborative approach: the NeuroToolKit. Alzheimer s Research & Therapy. 15(1). 25–25. 10 indexed citations

14.

Sánchez‐Benavides, Gonzalo, Marta Milà‐Alomà, Mahnaz Shekari, et al.. (2023). The associations between glial biomarkers and cognitive changes in individuals at risk of Alzheimer’s disease. Alzheimer s & Dementia. 19(S24). 1 indexed citations

15.

Pelkmans, Wiesje, Mahnaz Shekari, Anna Brugulat‐Serrat, et al.. (2023). Astrocyte biomarkers GFAP and YKL‐40 mediate early Alzheimer's disease progression. Alzheimer s & Dementia. 20(1). 483–493. 47 indexed citations

16.

Suárez‐Calvet, Marc. (2022). CSF p-tau231: A biomarker for early preclinical Alzheimer?. EBioMedicine. 77. 103936–103936. 3 indexed citations

17.

Karikari, Thomas K., Andréa Lessa Benedet, Nicholas J. Ashton, et al.. (2020). Diagnostic performance and prediction of clinical progression of plasma phospho-tau181 in the Alzheimer’s Disease Neuroimaging Initiative. Molecular Psychiatry. 26(2). 429–442. 218 indexed citations breakdown →

18.

Ewers, Michael, Gloria Biechele, Marc Suárez‐Calvet, et al.. (2020). Higher CSF sTREM2 and microglia activation are associated with slower rates of beta‐amyloid accumulation. EMBO Molecular Medicine. 12(9). e12308–e12308. 80 indexed citations

19.

Alcolea, Daniel, Eduard Vilaplana, Marc Suárez‐Calvet, et al.. (2017). CSF sAPPβ, YKL-40, and neurofilament light in frontotemporal lobar degeneration. Neurology. 89(2). 178–188. 92 indexed citations

20.

Kleinberger, Gernot, Matthias Brendel, Éva Mracskó, et al.. (2017). The FTD ‐like syndrome causing TREM 2 T66M mutation impairs microglia function, brain perfusion, and glucose metabolism. The EMBO Journal. 36(13). 1837–1853. 144 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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