Rafael García‐Robles

1.5k total citations
43 papers, 1.1k citations indexed

About

Rafael García‐Robles is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Rafael García‐Robles has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Cardiology and Cardiovascular Medicine and 10 papers in Surgery. Recurrent topics in Rafael García‐Robles's work include Blood Pressure and Hypertension Studies (8 papers), Nitric Oxide and Endothelin Effects (5 papers) and Reproductive Biology and Fertility (5 papers). Rafael García‐Robles is often cited by papers focused on Blood Pressure and Hypertension Studies (8 papers), Nitric Oxide and Endothelin Effects (5 papers) and Reproductive Biology and Fertility (5 papers). Rafael García‐Robles collaborates with scholars based in Spain and United States. Rafael García‐Robles's co-authors include Luís M. Ruilope, Héctor F. Escobar‐Morreale, Fernando Rodríguez‐Artalejo, Juan Tamargo, Manuel Luque‐Ramírez, Carlos Campo, C Varela, J. M. Sancho, Auxiliadora Graciani and Juan J. de la Cruz and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension and Fertility and Sterility.

In The Last Decade

Rafael García‐Robles

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafael García‐Robles Spain 17 483 381 222 191 189 43 1.1k
Rhonda Bentley–Lewis United States 21 317 0.7× 480 1.3× 366 1.6× 266 1.4× 352 1.9× 34 1.7k
Gerard Boran Ireland 15 125 0.3× 469 1.2× 197 0.9× 151 0.8× 142 0.8× 57 1.2k
I. F. Casson United Kingdom 14 267 0.6× 589 1.5× 40 0.2× 291 1.5× 95 0.5× 35 1.4k
Philip A Morales United States 15 452 0.9× 1.1k 2.9× 96 0.4× 337 1.8× 333 1.8× 20 1.8k
Steven M. Haffner United States 13 181 0.4× 618 1.6× 81 0.4× 106 0.6× 140 0.7× 16 1.1k
Irena Keber Slovenia 21 692 1.4× 317 0.8× 59 0.3× 228 1.2× 108 0.6× 59 1.3k
Lorenza Santi Italy 14 293 0.6× 625 1.6× 51 0.2× 187 1.0× 126 0.7× 23 1.3k
Hans Lundgren Sweden 9 163 0.3× 495 1.3× 94 0.4× 75 0.4× 206 1.1× 12 822
Nowreen Haq United States 11 312 0.6× 360 0.9× 45 0.2× 117 0.6× 143 0.8× 17 912
Alan Herd United States 7 346 0.7× 1.1k 2.9× 127 0.6× 171 0.9× 201 1.1× 7 1.8k

Countries citing papers authored by Rafael García‐Robles

Since Specialization
Citations

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

Fields of papers citing papers by Rafael García‐Robles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael García‐Robles

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael García‐Robles. A scholar is included among the top collaborators of Rafael García‐Robles 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 Rafael García‐Robles. Rafael García‐Robles 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.
Banegas, José R., Fernando Rodríguez‐Artalejo, Luís M. Ruilope, et al.. (2002). Hypertension magnitude and management in the elderly population of Spain. Journal of Hypertension. 20(11). 2157–2164. 204 indexed citations
2.
Ruilope, Luís M., Rafael García‐Robles, & Basilio Moreno. (2002). Obesity, Cardiovascular Risk and Pharmacotherapy. Blood Pressure. 11(5). 260–262. 1 indexed citations
3.
Campo, Carlos, et al.. (2001). Relación entre la gravedad de la hipertensión arterial esencial y la prevalencia de hiperuricemia. Medicina Clínica. 117(3). 85–89. 5 indexed citations
4.
Escobar‐Morreale, Héctor F., et al.. (1998). Abnormalities in the serum insulin-like growth factor-1 axis in women with hyperandrogenism. Fertility and Sterility. 70(6). 1090–1100. 16 indexed citations
5.
Escobar‐Morreale, Héctor F., et al.. (1998). Insulin Resistance, Dehydroepiandrosterone Sulfate and Sex Hormone-Binding Globulin in Essential Hypertension*. Hormone and Metabolic Research. 30(3). 153–157. 1 indexed citations
6.
Huang, Bing, J. M. Sancho, Rafael García‐Robles, & Frans H. H. Leenen. (1997). Sympathoexcitatory Effect of Hypothalamic/ Hypophysary Inhibitory Factor in Rats. Hypertension. 29(6). 1291–1295. 10 indexed citations
7.
Piédrola, G, et al.. (1997). Relationship Between Insulin Sensitivity and Dehydroepiandrosterone Sulfate in Patients with Ischemic Heart Disease. Hormone and Metabolic Research. 29(11). 566–571. 6 indexed citations
8.
Escobar‐Morreale, Héctor F., et al.. (1997). Lack of an ovarian function influence on the increased adrenal androgen secretion present in women with functional ovarian hyperandrogenism. Fertility and Sterility. 67(4). 654–662. 31 indexed citations
9.
Ruilope, Luís M. & Rafael García‐Robles. (1997). How far should blood pressure be reduced in diabetic hypertensive patients?. Journal of Hypertension. 15(2). S63–S65. 30 indexed citations
10.
García‐Robles, Rafael, et al.. (1997). Comparative Effect of PGE 2 and PGI 2 on Renal Function. Hypertension. 30(3). 664–666. 25 indexed citations
11.
Andrés, Amado, J.M. Morales, Manuel Praga, et al.. (1997). L-arginine reverses the antinatriuretic effect of cyclosporin in renal transplant patients. Nephrology Dialysis Transplantation. 12(7). 1437–1440. 11 indexed citations
12.
García‐Robles, Rafael. (1996). Effects of ?-Arginine Infusion on Renal Hemodynamics and Sodium Excretion During Hypo-, Normo-, and Hyperinsulinemia, as Studied in Dogs. American Journal of Hypertension. 9(7). 681–686. 3 indexed citations
13.
Piédrola, G, et al.. (1996). Clinical features of adrenal insufficiency in patients with acquired immunodeficiency syndrome. Clinical Endocrinology. 45(1). 97–101. 40 indexed citations
16.
Escobar‐Morreale, Héctor F., Fernando Pazos, Neus Potau, et al.. (1994). Ovarian suppression with triptorelin and adrenal stimulation with adrenocorticotropin in functional hyperadrogenism: role of adrenal and ovarian cytochrome P450c17α. Fertility and Sterility. 62(3). 521–530. 28 indexed citations
17.
Sancho, J. M., et al.. (1993). Properties of the Purified Hypothalamic Pituitary NA/K-ATPase Inhibitor. Journal of Cardiovascular Pharmacology. 22(Supplement 2). S32–S34. 9 indexed citations
19.
Andrés, Amado, Rafael García‐Robles, José María Morillas Alcázar, et al.. (1989). Diuretic and natriuretic properties of fenoldopam in chronic renal failure. Journal of Hypertension. 7(6). S326–327. 4 indexed citations
20.
García‐Robles, Rafael & Luís M. Ruilope. (1987). Pharmacological influences on aldosterone secretion. Journal of Steroid Biochemistry. 27(4-6). 947–951. 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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