J. García‐Buela

588 total citations
17 papers, 450 citations indexed

About

J. García‐Buela is a scholar working on Endocrine and Autonomic Systems, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, J. García‐Buela has authored 17 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrine and Autonomic Systems, 9 papers in Physiology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in J. García‐Buela's work include Regulation of Appetite and Obesity (13 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Adipose Tissue and Metabolism (5 papers). J. García‐Buela is often cited by papers focused on Regulation of Appetite and Obesity (13 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Adipose Tissue and Metabolism (5 papers). J. García‐Buela collaborates with scholars based in Spain, Russia and France. J. García‐Buela's co-authors include Fernando Cordido, Ana Rodríguez–Carmona, Miguel Pérez Fontán, Susana Sangiao‐Alvarellos, Jesús Peteiro, M. Carmen Martı́nez, Carlos Diéguez, María Luisa Isidro, Felipe F. Casanueva and Teresa García Falcón and has published in prestigious journals such as PLoS ONE, CHEST Journal and American Journal of Kidney Diseases.

In The Last Decade

J. García‐Buela

17 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. García‐Buela Spain 13 207 205 99 96 86 17 450
Kenneth T. Nakamura United States 16 115 0.6× 101 0.5× 27 0.3× 72 0.8× 323 3.8× 51 690
Eugenio Berlanga Spain 13 74 0.4× 78 0.4× 100 1.0× 72 0.8× 40 0.5× 27 433
Samuel Klein United States 9 160 0.8× 143 0.7× 207 2.1× 21 0.2× 66 0.8× 13 524
Clare Reid United Kingdom 8 224 1.1× 21 0.1× 143 1.4× 72 0.8× 133 1.5× 10 515
Ana Claudia Tonelli Brazil 10 271 1.3× 168 0.8× 88 0.9× 36 0.4× 129 1.5× 23 470
C. Fichtner France 7 80 0.4× 28 0.1× 100 1.0× 45 0.5× 120 1.4× 11 368
Miki Kurata Japan 12 157 0.8× 14 0.1× 109 1.1× 123 1.3× 45 0.5× 56 366
Sultan Durmuş Aydoğdu Türkiye 10 99 0.5× 87 0.4× 102 1.0× 31 0.3× 53 0.6× 18 376
Rosario Bellini Italy 11 309 1.5× 43 0.2× 61 0.6× 185 1.9× 133 1.5× 23 693
Sérgio Santoro Brazil 11 207 1.0× 26 0.1× 53 0.5× 49 0.5× 84 1.0× 28 476

Countries citing papers authored by J. García‐Buela

Since Specialization
Citations

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

Fields of papers citing papers by J. García‐Buela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. García‐Buela. 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 J. García‐Buela. The network helps show where J. García‐Buela may publish in the future.

Co-authorship network of co-authors of J. García‐Buela

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

All Works

17 of 17 papers shown
1.
Pértega-Díaz, Sónia, J. García‐Buela, Sulay Tovar, et al.. (2015). Effect of Oral Glucose Administration on Rebound Growth Hormone Release in Normal and Obese Women: The Role of Adiposity, Insulin Sensitivity and Ghrelin. PLoS ONE. 10(3). e0121087–e0121087. 18 indexed citations
2.
García‐Buela, J., Susana Sangiao‐Alvarellos, L. Peña, et al.. (2012). Sexual Dimorphism on Growth Hormone Secretion after Oral Glucose Administration. Hormone and Metabolic Research. 44(7). 533–538. 4 indexed citations
3.
Rodríguez–Carmona, Ana, Miguel Pérez Fontán, Jesús Peteiro, et al.. (2011). Effect of low-GDP bicarbonate-lactate-buffered peritoneal dialysis solutions on plasma levels of adipokines and gut appetite-regulatory peptides. A randomized crossover study. Nephrology Dialysis Transplantation. 27(1). 369–374. 13 indexed citations
4.
García‐Buela, J., et al.. (2011). Growth Hormone, Ghrelin and Peptide YY Secretion after Oral Glucose Administration in Healthy and Obese Women. Hormone and Metabolic Research. 43(8). 580–586. 9 indexed citations
5.
García‐Buela, J., et al.. (2010). Altered fasting and postprandial plasma ghrelin levels in patients with liver failure are normalized after liver transplantation. European Journal of Endocrinology. 163(4). 609–616. 16 indexed citations
6.
Cordido, Fernando, et al.. (2010). The Decreased Growth Hormone Response to Growth Hormone Releasing Hormone in Obesity Is Associated to Cardiometabolic Risk Factors. Mediators of Inflammation. 2010. 1–8. 24 indexed citations
7.
García‐Buela, J., et al.. (2009). Fasting and postprandial plasma ghrelin levels are decreased in patients with liver failure previous to liver transplantation. Endocrine. 35(3). 467–476. 16 indexed citations
8.
Fontán, Miguel Pérez, Fernando Cordido, Ana Rodríguez–Carmona, et al.. (2008). Short-term regulation of peptide YY secretion by a mixed meal or peritoneal glucose-based dialysate in patients with chronic renal failure. Nephrology Dialysis Transplantation. 23(11). 3696–3703. 17 indexed citations
9.
Isidro, María Luisa, et al.. (2007). Effect of oral glucose on acylated and total ghrelin secretion in acromegalic patients.. PubMed. 28(5). 596–603. 11 indexed citations
10.
Isidro, María Luisa, et al.. (2006). Effect of acute ghrelin administration on glycaemia and insulin levels in obese patients. Diabetes Obesity and Metabolism. 8(5). 555–560. 14 indexed citations
11.
Isidro, María Luisa, J. García‐Buela, Alfonso Leal‐Cerro, et al.. (2004). Marked GH secretion after ghrelin alone or combined with GH‐releasing hormone (GHRH) in obese patients. Clinical Endocrinology. 61(2). 250–255. 42 indexed citations
12.
Fontán, Miguel Pérez, et al.. (2004). Plasma ghrelin levels in patients undergoing haemodialysis and peritoneal dialysis. Nephrology Dialysis Transplantation. 19(8). 2095–2100. 66 indexed citations
13.
Rodríguez–Carmona, Ana, Miguel Pérez Fontán, Fernando Cordido, Teresa García Falcón, & J. García‐Buela. (2000). Hyperleptinemia Is Not Correlated with Markers of Protein Malnutrition in Chronic Renal Failure. ˜The œNephron journals/Nephron journals. 86(3). 274–280. 32 indexed citations
14.
Cordido, Fernando, et al.. (2000). Relationship between the growth hormone-insulin-like growth factor I axis and serum leptin in patients with chronic renal failure. Growth Hormone & IGF Research. 10. S162–S162. 1 indexed citations
15.
Fontán, Miguel Pérez, Ana Rodríguez–Carmona, Fernando Cordido, & J. García‐Buela. (1999). Hyperleptinemia in uremic patients undergoing conservative management, peritoneal dialysis, and hemodialysis: A comparative analysis. American Journal of Kidney Diseases. 34(5). 824–831. 68 indexed citations
16.
17.
Jiménez, J.F. Masa, et al.. (1987). Meaning and Diagnostic Value of Determining the Lysozyme Level of Pleural Fluid. CHEST Journal. 91(3). 342–345. 29 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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