Juan José Cubero

598 total citations
35 papers, 434 citations indexed

About

Juan José Cubero is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Transplantation. According to data from OpenAlex, Juan José Cubero has authored 35 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nephrology, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Transplantation. Recurrent topics in Juan José Cubero's work include Renal Transplantation Outcomes and Treatments (7 papers), Dialysis and Renal Disease Management (6 papers) and Eicosanoids and Hypertension Pharmacology (5 papers). Juan José Cubero is often cited by papers focused on Renal Transplantation Outcomes and Treatments (7 papers), Dialysis and Renal Disease Management (6 papers) and Eicosanoids and Hypertension Pharmacology (5 papers). Juan José Cubero collaborates with scholars based in Spain and United States. Juan José Cubero's co-authors include Francisco Caravaca, Guillermo Gervasini, Julio Benítez, J.L. Pizarro, Nicolás Roberto Robles, Enrique Luna, Concepción García, R. Robles, Raúl Alvarado and Luis Pallardó and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Kidney International.

In The Last Decade

Juan José Cubero

32 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan José Cubero Spain 12 146 110 99 80 54 35 434
Bennett Wm United States 15 59 0.4× 157 1.4× 86 0.9× 67 0.8× 48 0.9× 36 529
Edyta Gołembiewska Poland 11 30 0.2× 189 1.7× 30 0.3× 81 1.0× 27 0.5× 55 488
J. Sennesael Belgium 11 47 0.3× 96 0.9× 44 0.4× 54 0.7× 23 0.4× 28 400
Višnja Ležaić Serbia 13 96 0.7× 154 1.4× 41 0.4× 121 1.5× 13 0.2× 51 496
Annalisa Teutonico Italy 15 199 1.4× 261 2.4× 70 0.7× 275 3.4× 45 0.8× 35 748
Antje Fürstenberg United Kingdom 6 60 0.4× 255 2.3× 41 0.4× 198 2.5× 93 1.7× 6 735
Sun Woo Kang South Korea 9 35 0.2× 145 1.3× 19 0.2× 83 1.0× 19 0.4× 18 515
Javier Manzanares Spain 13 107 0.7× 13 0.1× 69 0.7× 202 2.5× 35 0.6× 15 497
Kasiske Bl United States 10 106 0.7× 127 1.2× 21 0.2× 127 1.6× 11 0.2× 10 388
S. Madsen Denmark 11 210 1.4× 159 1.4× 71 0.7× 288 3.6× 44 0.8× 47 648

Countries citing papers authored by Juan José Cubero

Since Specialization
Citations

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

Fields of papers citing papers by Juan José Cubero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan José Cubero. 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 Juan José Cubero. The network helps show where Juan José Cubero may publish in the future.

Co-authorship network of co-authors of Juan José Cubero

This figure shows the co-authorship network connecting the top 25 collaborators of Juan José Cubero. A scholar is included among the top collaborators of Juan José Cubero 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 Juan José Cubero. Juan José Cubero 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.
Gervasini, Guillermo, et al.. (2019). Association of polymorphisms in leptin and adiponectin genes with long-term outcomes in renal transplant recipients. The Pharmacogenomics Journal. 20(3). 388–397. 9 indexed citations
2.
Robles, Nicolás Roberto, et al.. (2018). Iron deficiency in chronic kidney disease patients with diabetes mellitus. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 12(6). 933–937. 8 indexed citations
3.
Robles, Nicolás Roberto, et al.. (2017). Anemia as very late‐onset cytomegalovirus disease after kidney transplantation. Transplant Infectious Disease. 20(1). 2 indexed citations
4.
Robles, Nicolás Roberto, et al.. (2015). PP.32.08. Journal of Hypertension. 33(Supplement 1). e422–e422. 1 indexed citations
5.
Gervasini, Guillermo, Eliécer Coto, Raúl Alvarado, et al.. (2015). A 3’-UTR Polymorphism in Soluble Epoxide Hydrolase Gene Is Associated with Acute Rejection in Renal Transplant Recipients. PLoS ONE. 10(7). e0133563–e0133563. 14 indexed citations
6.
Gervasini, Guillermo, et al.. (2015). Risk factors for post-transplant diabetes mellitus in renal transplant: Role of genetic variability in the CYP450-mediated arachidonic acid metabolism. Molecular and Cellular Endocrinology. 419. 158–164. 20 indexed citations
7.
Robles, Nicolás Roberto, et al.. (2013). Use of α1-microglobulin for diagnosing chronic interstitial nephropathy. Clinical and Experimental Medicine. 14(3). 315–320. 7 indexed citations
8.
Gervasini, Guillermo, et al.. (2012). Impact of genetic polymorphisms on tacrolimus pharmacokinetics and the clinical outcome of renal transplantation. Transplant International. 25(4). 471–480. 72 indexed citations
9.
Cubero, Juan José, et al.. (2011). Treatment of proteinuria with lercanidipine associated with reninangiotensin axis-blocking drugs. SHILAP Revista de lepidopterología. 10(3). 83–88.
10.
Cubero, Juan José, Esther López, Pedro C. Redondo, et al.. (2011). Immunossupressant and Organ Transplantation: Immunophilins Targeting Agent and Alternative Therapies. Current Medicinal Chemistry. 18(35). 5324–5332. 2 indexed citations
11.
Robles, Nicolás Roberto, et al.. (2011). Hematocrit, urea and gender: The Hematocrit, Urea and GEnder formula for prognosing progressive renal failure in diabetic nephropathy. European Journal of Internal Medicine. 23(3). 283–286. 9 indexed citations
12.
Luna, Enrique, et al.. (2010). Vascular Thrombosis After Kidney Transplantation: Predisposing Factors and Risk Index. Transplantation Proceedings. 42(8). 2928–2930. 14 indexed citations
13.
Luna, Enrique, et al.. (2010). Urologic Complications After Kidney Transplantation: Involvement of the Double-J Stent and the Urologic Suture. Transplantation Proceedings. 42(8). 3143–3145. 6 indexed citations
14.
Robles, Nicolás Roberto, et al.. (2010). Treatment of Proteinuria with Lercanidipine Associated with Renin-Angiotensin Axis-Blocking Drugs. Renal Failure. 32(2). 192–197. 17 indexed citations
15.
Cubero, Juan José, et al.. (2009). Factores de progresión de la enfermedad renal crónica. Mecanismos no inmunológicos. Nefrología. 29(1). 16–24. 6 indexed citations
16.
Robles, Nicolás Roberto, et al.. (2009). Long‐Term Antiproteinuric Effect of Dual Renin–Angiotensin System Blockade. Cardiovascular Therapeutics. 27(2). 101–107. 3 indexed citations
17.
Robles, Nicolás Roberto, et al.. (2008). Dual renin–angiotensin system blockade: In patients with single functioning kidney and proteinuria. European Journal of Internal Medicine. 20(2). 186–189. 2 indexed citations
18.
19.
Caravaca, Francisco, et al.. (1994). Antiplatelet therapy and development of hypertension induced by recombinant human erythropoietin in uremic patients. Kidney International. 45(3). 845–851. 25 indexed citations
20.
Caravaca, Francisco, et al.. (1992). Calcium Acetate versus Calcium Carbonate as Phosphate Binders in Hemodialysis Patients. ˜The œNephron journals/Nephron journals. 60(4). 423–427. 41 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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