David Arroyo

3.0k total citations · 1 hit paper
49 papers, 1.3k citations indexed

About

David Arroyo is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Nephrology. According to data from OpenAlex, David Arroyo has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 18 papers in Cardiology and Cardiovascular Medicine and 16 papers in Nephrology. Recurrent topics in David Arroyo's work include Blood Pressure and Hypertension Studies (9 papers), Lipoproteins and Cardiovascular Health (7 papers) and Dialysis and Renal Disease Management (7 papers). David Arroyo is often cited by papers focused on Blood Pressure and Hypertension Studies (9 papers), Lipoproteins and Cardiovascular Health (7 papers) and Dialysis and Renal Disease Management (7 papers). David Arroyo collaborates with scholars based in Spain, United States and Australia. David Arroyo's co-authors include José Luño, Soledad García de Vinuesa, Marián Goicoechea, Úrsula Verdalles, Jara Ampuero, José Manuel Valdivielso, Àngels Betriu, Elvira Fernández, Borja Quiroga and Nayara Panizo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Kidney Diseases.

In The Last Decade

David Arroyo

43 papers receiving 1.3k citations

Hit Papers

Effect of Allopurinol in Chronic Kidney Disease Progressi... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Arroyo Spain 18 856 416 283 233 202 49 1.3k
Úrsula Verdalles Spain 16 1.0k 1.2× 440 1.1× 362 1.3× 214 0.9× 155 0.8× 48 1.4k
Kentaro Kohagura Japan 17 552 0.6× 213 0.5× 155 0.5× 275 1.2× 384 1.9× 56 1.1k
Essam F. Elsayed United States 15 1.1k 1.2× 396 1.0× 229 0.8× 521 2.2× 177 0.9× 18 1.9k
Jae Hyun Chang South Korea 22 851 1.0× 243 0.6× 129 0.5× 169 0.7× 122 0.6× 84 1.4k
Yoon-Goo Kim South Korea 17 683 0.8× 286 0.7× 198 0.7× 152 0.7× 111 0.5× 63 1.4k
Władysław Sułowicz Poland 26 1.1k 1.3× 385 0.9× 103 0.4× 232 1.0× 195 1.0× 157 2.2k
Nüket Bavbek Türkiye 21 489 0.6× 242 0.6× 260 0.9× 143 0.6× 70 0.3× 56 1.3k
Marit D. Solbu Norway 28 1.3k 1.5× 273 0.7× 158 0.6× 545 2.3× 367 1.8× 67 2.1k
Wookyung Chung South Korea 22 844 1.0× 331 0.8× 110 0.4× 247 1.1× 105 0.5× 105 1.6k
Sun Moon Kim South Korea 23 421 0.5× 259 0.6× 132 0.5× 228 1.0× 110 0.5× 65 1.3k

Countries citing papers authored by David Arroyo

Since Specialization
Citations

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

Fields of papers citing papers by David Arroyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Arroyo

This figure shows the co-authorship network connecting the top 25 collaborators of David Arroyo. A scholar is included among the top collaborators of David Arroyo 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 David Arroyo. David Arroyo 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.
Carbayo, Javier, Úrsula Verdalles, Francisco Díaz‐Crespo, et al.. (2024). Tubular biomarkers in proteinuric kidney disease: histology correlation and kidney prognosis of tubular biomarkers. Clinical Kidney Journal. 17(5). sfae146–sfae146. 6 indexed citations
3.
Carbayo, Javier, Úrsula Verdalles, Francisco Díaz‐Crespo, et al.. (2024). Tubular biomarkers and histology in lupus nephritis. International Journal of Rheumatic Diseases. 27(6). e15210–e15210.
4.
5.
García‐Prieto, Ana, Úrsula Verdalles, A. Jose, et al.. (2024). Renin–angiotensin–aldosterone system blockers effect in chronic kidney disease progression in hypertensive elderly patients without proteinuria: PROERCAN trial. Hipertensión y Riesgo Vascular. 41(2). 95–103. 4 indexed citations
6.
Esteban‐Fernández, Alberto, et al.. (2023). Diagnosis and Management of Malnutrition in Patients with Heart Failure. Journal of Clinical Medicine. 12(9). 3320–3320. 26 indexed citations
8.
Górriz, José Luis, David Arroyo, Luis D’Marco, et al.. (2021). Cardiovascular risk factors and the impact on prognosis in patients with chronic kidney disease secondary to autosomal dominant polycystic kidney disease. BMC Nephrology. 22(1). 110–110. 6 indexed citations
10.
Donovan, Peter, et al.. (2019). Trends in opioid prescribing in Australia: a systematic review*. Australian Health Review. 44(2). 277–287. 28 indexed citations
11.
Bullich, Gemma, Rosa Miquel, Mónica Furlano, et al.. (2018). Autosomal Dominant Tubulointerstitial Kidney Disease: Clinical Presentation of Patients With ADTKD-UMOD and ADTKD-MUC1. American Journal of Kidney Diseases. 72(3). 411–418. 36 indexed citations
12.
Sánchez, Enric, Àngels Betriu, David Arroyo, et al.. (2017). Skin Autofluorescence and Subclinical Atherosclerosis in Mild to Moderate Chronic Kidney Disease: A Case-Control Study. PLoS ONE. 12(1). e0170778–e0170778. 14 indexed citations
13.
Valdivielso, José Manuel, Àngels Betriu, Montserrat Martínez‐Alonso, et al.. (2017). Factors predicting cardiovascular events in chronic kidney disease patients. Role of subclinical atheromatosis extent assessed by vascular ultrasound. PLoS ONE. 12(10). e0186665–e0186665. 20 indexed citations
14.
Bermúdez-López, Marcelino, et al.. (2017). Más allá de los parámetros lipídicos tradicionales en la enfermedad renal crónica. Nefrología. 38(2). 109–113. 5 indexed citations
15.
Betriu, Àngels, David Arroyo, María Dolores del Pino y Pino, et al.. (2016). Mineral metabolism factors predict accelerated progression of common carotid intima-media thickness in chronic kidney disease: the NEFRONA study. Nephrology Dialysis Transplantation. 32(11). 1882–1891. 16 indexed citations
16.
Abad, Soraya, Almudena Vega, Borja Quiroga, et al.. (2016). Toxinas unidas a proteínas: valor añadido en su eliminación con altos volúmenes convectivos. Nefrología. 36(6). 637–642. 10 indexed citations
17.
Betriu, Àngels, Montserrat Martínez‐Alonso, David Arroyo, et al.. (2016). Estudio de intervención aleatorizado para evaluar la prevalencia de enfermedad ateromatosa y renal ocultas y su impacto en la morbimortalidad: Proyecto ILERVAS. Nefrología. 36(4). 389–396. 17 indexed citations
18.
Arroyo, David, Sindhu Chandran, Parsia A. Vagefi, & David Wojciechowski. (2014). Adjuvant Ciprofloxacin for Persistent BK Polyomavirus Infection in Kidney Transplant Recipients. SHILAP Revista de lepidopterología. 2014. 1–8. 11 indexed citations
19.
Arroyo, David, Borja Quiroga, Nayara Panizo, et al.. (2012). High-Sensitivity Troponin T Levels in Kidney Transplant Recipients. Transplantation Proceedings. 44(9). 2545–2547. 7 indexed citations
20.
Verdalles, Úrsula, Soledad García de Vinuesa, Borja Quiroga, et al.. (2012). Utility of bioimpedance spectroscopy (BIS) in the management of refractory hypertension in patients with chronic kidney disease (CKD). Nephrology Dialysis Transplantation. 27(suppl 4). iv31–iv35. 18 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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