Julio Sánchez-Martín

570 total citations
8 papers, 33 citations indexed

About

Julio Sánchez-Martín is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Julio Sánchez-Martín has authored 8 papers receiving a total of 33 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Rheumatology, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Julio Sánchez-Martín's work include Vasculitis and related conditions (4 papers), Otitis Media and Relapsing Polychondritis (3 papers) and Systemic Lupus Erythematosus Research (2 papers). Julio Sánchez-Martín is often cited by papers focused on Vasculitis and related conditions (4 papers), Otitis Media and Relapsing Polychondritis (3 papers) and Systemic Lupus Erythematosus Research (2 papers). Julio Sánchez-Martín collaborates with scholars based in Spain, South Africa and United States. Julio Sánchez-Martín's co-authors include Ricardo Blanco, Iván Ferraz‐Amaro, Miguel Á. González‐Gay, Candelaria Martín‐González, J. Loricera, Fernanda Genre, Juan Carlos Quevedo-Abeledo, Víctor M. Martínez‐Taboada, J. Gonzalo Ocejo‐Vinyals and Sara Remuzgo‐Martínez and has published in prestigious journals such as Annals of the Rheumatic Diseases, Arthritis Research & Therapy and European Journal of Internal Medicine.

In The Last Decade

Julio Sánchez-Martín

6 papers receiving 33 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julio Sánchez-Martín Spain 4 15 12 10 8 6 8 33
Matthieu Duprey France 2 18 1.2× 10 0.8× 21 2.1× 4 0.5× 3 0.5× 3 42
Christian Von Frenckell Belgium 4 7 0.5× 21 1.8× 15 1.5× 3 0.4× 3 0.5× 11 36
Ricardo Erazo Torricelli Chile 4 23 1.5× 5 0.4× 12 1.2× 5 0.6× 8 1.3× 10 55
Anatol Mickielewicz Poland 4 24 1.6× 16 1.3× 9 0.9× 4 0.5× 7 1.2× 7 83
Attila Sas Hungary 4 25 1.7× 6 0.5× 15 1.5× 6 0.8× 2 0.3× 7 54
T. Kálovics Hungary 2 24 1.6× 34 2.8× 5 0.5× 7 0.9× 8 1.3× 4 45
Peter Durda United States 4 6 0.4× 5 0.4× 4 0.4× 9 1.1× 4 0.7× 7 44
J Agüero Balbín Spain 2 13 0.9× 3 0.3× 23 2.3× 11 1.4× 8 1.3× 3 33
E. Fonseca Spain 3 8 0.5× 6 0.5× 13 1.3× 3 0.4× 2 0.3× 15 23
G. Couture France 3 13 0.9× 6 0.5× 12 1.2× 2 0.3× 4 0.7× 5 27

Countries citing papers authored by Julio Sánchez-Martín

Since Specialization
Citations

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

Fields of papers citing papers by Julio Sánchez-Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julio Sánchez-Martín. 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 Julio Sánchez-Martín. The network helps show where Julio Sánchez-Martín may publish in the future.

Co-authorship network of co-authors of Julio Sánchez-Martín

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

All Works

8 of 8 papers shown
1.
Loricera, J., Javier Narváez, O. Maíz, et al.. (2024). Effectiveness Of Tocilizumab In Aortitis And Aneurysms Associated With Giant Cell Arteritis. European Journal of Internal Medicine. 129. 78–86. 7 indexed citations
2.
Surís, Xavier, et al.. (2024). Análisis de coste-efectividad de las Unidades de Coordinación de Fracturas en Cataluña. Journal of Healthcare Quality Research. 39(4). 205–213.
3.
Collada, J. Molina, Marta Domínguez-Álvaro, R. González, et al.. (2024). POS0925 VISUAL MANIFESTATIONS IN GIANT CELL ARTERITIS: IDENTIFICATION OF RISK FACTORS FROM THE ARTESER REGISTRY. Annals of the Rheumatic Diseases. 83. 1084–1085.
4.
Sánchez-Martín, Julio, et al.. (2023). AB0733 CONCORDANCE BETWEEN THE 1990 ACR CLASSIFICATION CRITERIA AND THE NEW 2022 ACR/EULAR 2022 CRITERIA IN GIANT CELL ARTERITIS. Annals of the Rheumatic Diseases. 82. 1572–1573. 1 indexed citations
5.
Prieto-Peña, D., J. Gonzalo Ocejo‐Vinyals, Ana L. Pelayo‐Negro, et al.. (2022). Epidemiological and genetic features of anti-3‑hydroxy-3-methylglutaryl-CoA reductase necrotizing myopathy: Single-center experience and literature review. European Journal of Internal Medicine. 101. 86–92. 13 indexed citations
6.
Sánchez-Martín, Julio, J. Loricera, E. De Miguel, et al.. (2022). AB1366 ULTRASOUND ASSESSMENT OF THE EFFECTIVENESS OF TOCILIZUMAB IN GIANT CELL ARTERITIS. STUDY OF 26 PATIENTS FROM CLINICAL PRACTICE. Annals of the Rheumatic Diseases. 81. 1788–1789. 1 indexed citations
7.
Martín‐González, Candelaria, et al.. (2022). Apolipoprotein C-III in patients with systemic lupus erythematosus. Arthritis Research & Therapy. 24(1). 104–104. 5 indexed citations
8.
Ferraz‐Amaro, Iván, Alfonso Corrales, Belén Atienza‐Mateo, et al.. (2021). SCORE2 Assessment in the Calculation of Cardiovascular Risk in Patients with Rheumatoid Arthritis. Diagnostics. 11(12). 2363–2363. 6 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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