Marcelo Rugiero

1.8k total citations
24 papers, 187 citations indexed

About

Marcelo Rugiero is a scholar working on Neurology, Molecular Biology and Rheumatology. According to data from OpenAlex, Marcelo Rugiero has authored 24 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 6 papers in Molecular Biology and 6 papers in Rheumatology. Recurrent topics in Marcelo Rugiero's work include Amyotrophic Lateral Sclerosis Research (5 papers), Inflammatory Myopathies and Dermatomyositis (4 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers). Marcelo Rugiero is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (5 papers), Inflammatory Myopathies and Dermatomyositis (4 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers). Marcelo Rugiero collaborates with scholars based in Argentina, United States and United Kingdom. Marcelo Rugiero's co-authors include Boyd M. Koffman, Marinos C. Dalakas, Edgardo Cristiano, Mariela Bettini, Diego Giunta, Zhiliang Xie, P. Gambetti, Gustavo Sevlever, Gonçalo R. Abecasis and A.L. Taratuto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Muscle & Nerve.

In The Last Decade

Marcelo Rugiero

22 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcelo Rugiero Argentina 6 86 76 60 42 25 24 187
Hans-Hilmar Goebel Germany 4 74 0.9× 67 0.9× 81 1.4× 20 0.5× 19 0.8× 5 198
Weihong Lin China 10 69 0.8× 29 0.4× 130 2.2× 54 1.3× 47 1.9× 30 285
Felipe Torres Pacheco Brazil 8 39 0.5× 73 1.0× 81 1.4× 14 0.3× 14 0.6× 29 223
Vittorio Mantero Italy 11 66 0.8× 39 0.5× 183 3.0× 14 0.3× 33 1.3× 32 288
Iwona Skorupinska United Kingdom 7 54 0.6× 83 1.1× 41 0.7× 19 0.5× 21 0.8× 17 184
Vivien Vasseur France 13 40 0.5× 99 1.3× 73 1.2× 38 0.9× 14 0.6× 46 563
Rogelio Simón Spain 9 30 0.3× 41 0.5× 34 0.6× 14 0.3× 33 1.3× 19 192
Wibke Johannis Germany 7 22 0.3× 35 0.5× 138 2.3× 21 0.5× 21 0.8× 16 229
Cathérine Cassiman Belgium 11 100 1.2× 49 0.6× 101 1.7× 27 0.6× 8 0.3× 27 275
Ryan Kammeyer United States 7 18 0.2× 40 0.5× 65 1.1× 14 0.3× 12 0.5× 26 198

Countries citing papers authored by Marcelo Rugiero

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Rugiero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelo Rugiero

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Rugiero. A scholar is included among the top collaborators of Marcelo Rugiero 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 Marcelo Rugiero. Marcelo Rugiero 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.
Golimstok, Ángel, et al.. (2024). Adult Attention Deficit-Hyperactivity Disorder is associated with Lewy Body Disease and Cognitive Impairment: A prospective cohort Study With 15-year Follow-Up. American Journal of Geriatric Psychiatry. 32(9). 1063–1077. 7 indexed citations
2.
Rugiero, Marcelo, et al.. (2023). Accelerated long‐term forgetting‐ALF in Mild Cognitive Impairment: A sensitive tool for subtil memory problems. Alzheimer s & Dementia. 19(S4). 1 indexed citations
3.
Pappolla, Agustín, Silvia Christiansen, Marcelo Rugiero, et al.. (2022). Primary Central Nervous System Vasculitis Following Alemtuzumab Treatment for Multiple Sclerosis. The Neurologist. 28(4). 270–272. 1 indexed citations
4.
Posadas‐Martínez, María Lourdes, Gustavo Greloni, Sebastián Marciano, et al.. (2022). Guía de Práctica Clínica para el diagnóstico de compromiso orgánico en amiloidosis: Parte 3/3 Año 2020. SHILAP Revista de lepidopterología. 79(4). 391–399. 2 indexed citations
6.
Sáez, María Soledad Cruz, María Lourdes Posadas‐Martínez, Patricia Sorroche, et al.. (2022). [Practice guideline for the treatment of familial amyloid polyneuropathy].. PubMed. 82(2). 262–274. 1 indexed citations
7.
Posadas‐Martínez, María Lourdes, César Belziti, Gustavo Greloni, et al.. (2021). Guía de Práctica Clínica para el diagnóstico de la amiloidosis: Parte 1/3. Año 2020. SHILAP Revista de lepidopterología. 78(1). 74–82. 4 indexed citations
8.
Pappolla, Agustín, et al.. (2020). Rapidly Progressive Dementia as a Clinical Feature of Multiple Dural Arteriovenous Fistulas. Neurology India. 68(4). 939–939.
9.
Pappolla, Agustín, et al.. (2019). Neurolinfomatosis primaria de cola de caballo como manifestación inicial del virus de la inmunodeficiencia humana. Revista de Neurología. 69(7). 301–301. 1 indexed citations
10.
Rugiero, Marcelo, et al.. (2017). EVALUATION OF COGNITIVE RESERVE IN AMYOTROPHIC LATERAL SCLEROSIS (P4.121). Neurology. 88(16_supplement). 1 indexed citations
11.
Bettini, Mariela, et al.. (2017). Incidence of Autoimmune Myasthenia Gravis in a Health Maintenance Organization in Buenos Aires, Argentina. Neuroepidemiology. 48(3-4). 119–123. 15 indexed citations
12.
Bettini, Mariela, et al.. (2017). Usefulness of diffusion tensor imaging in amyotrophic lateral sclerosis: potential biomarker and association with the cognitive profile. Arquivos de Neuro-Psiquiatria. 75(5). 272–276. 1 indexed citations
13.
Bettini, Mariela, et al.. (2016). [Presentations of transthyretin associated familial amyloid polyneuropathy in Argentina].. PubMed. 76(2). 105–8. 4 indexed citations
14.
Bettini, Mariela, Hernán Gonorazky, E. Fulgenzi, et al.. (2016). Immune-mediated rippling muscle disease and myasthenia gravis. Journal of Neuroimmunology. 299. 59–61. 6 indexed citations
15.
Dubrovsky, Alberto, E. Fulgenzi, Hernán Amartino, et al.. (2014). Consenso argentino para el diagnóstico, seguimiento y tratamiento de la enfermedad de Pompe. Neurología Argentina. 6(2). 96–113. 2 indexed citations
16.
Bettini, Mariela, et al.. (2013). Incidence and prevalence of amyotrophic lateral sclerosis in an HMO of Buenos Aires, Argentina. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 14(7-8). 598–603. 11 indexed citations
17.
Bettini, Mariela, et al.. (2013). Autoimmune Myasthenia Gravis and Thyroid Disease in Argentina (P02.200). Neurology. 80(7_supplement). 1 indexed citations
18.
Rugiero, Marcelo, et al.. (2011). P5.24 Immune-mediated Necrotizing Myopathy Associated with Statins: Presentation of two cases and review of the literature. Neuromuscular Disorders. 21(9-10). 731–731. 1 indexed citations
19.
Koffman, Boyd M., Marcelo Rugiero, & Marinos C. Dalakas. (1998). Immune‐mediated conditions and antibodies associated with sporadic inclusion body myositis. Muscle & Nerve. 21(1). 115–117. 5 indexed citations
20.
Koffman, Boyd M., Marcelo Rugiero, & Marinos C. Dalakas. (1998). Immune-mediated conditions and antibodies associated with sporadic inclusion body myositis. Muscle & Nerve. 21(1). 115–117. 78 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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