Manuel Macías

1.1k total citations
15 papers, 753 citations indexed

About

Manuel Macías is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Pharmacology. According to data from OpenAlex, Manuel Macías has authored 15 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Pharmacology. Recurrent topics in Manuel Macías's work include Cannabis and Cannabinoid Research (4 papers), Diet, Metabolism, and Disease (4 papers) and Alcohol Consumption and Health Effects (3 papers). Manuel Macías is often cited by papers focused on Cannabis and Cannabinoid Research (4 papers), Diet, Metabolism, and Disease (4 papers) and Alcohol Consumption and Health Effects (3 papers). Manuel Macías collaborates with scholars based in Spain, Chile and Colombia. Manuel Macías's co-authors include María Isabel Queipo‐Ortuño, Juan Colmenero, María José Bravo, Pilar Morata, Antonia Serrano, Fernando Rodrı́guez de Fonseca, Francisco Javier Pavón, Paloma Rendón, Fernando Dı́az and Vidal Perez‐Valero and has published in prestigious journals such as Biochemical Journal, Kidney International and British Journal Of Nutrition.

In The Last Decade

Manuel Macías

13 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manuel Macías Spain	9	258	176	176	133	124	15	753
J Salducci France	13	36 0.1×	425 2.4×	91 0.5×	156 1.2×	62 0.5×	41	1.3k
Aki Imai Japan	16	51 0.2×	152 0.9×	80 0.5×	118 0.9×	6 0.0×	31	915
Myeongjin Choi South Korea	15	141 0.5×	16 0.1×	141 0.8×	174 1.3×	16 0.1×	33	779
S. Nath France	16	26 0.1×	151 0.9×	83 0.5×	475 3.6×	100 0.8×	26	1.2k
Asadur Rahman Japan	19	70 0.3×	207 1.2×	44 0.3×	271 2.0×	384 3.1×	49	885
Gisele Facholi Bomfim Brazil	17	61 0.2×	184 1.0×	407 2.3×	323 2.4×	141 1.1×	48	1.4k
P Kharbanda India	12	26 0.1×	121 0.7×	189 1.1×	61 0.5×	16 0.1×	48	630
Tomomi Shimizu Japan	18	48 0.2×	23 0.1×	99 0.6×	113 0.8×	13 0.1×	46	874
Aoife M. Brennan United States	15	26 0.1×	71 0.4×	320 1.8×	462 3.5×	61 0.5×	23	1.2k
Akram Miramin Mohammadi Iran	18	94 0.4×	51 0.3×	356 2.0×	268 2.0×	122 1.0×	51	1.3k

Countries citing papers authored by Manuel Macías

Since Specialization

Citations

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

Fields of papers citing papers by Manuel Macías

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Macías

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

All Works

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15 of 15 papers shown

Alcaide, Julia, Hatim Boughanem, Marilina García‐Aranda, et al.. (2025). Long‐term prognostic implications of type 2 diabetes mellitus in colorectal cancer patients. Colorectal Disease. 27(10). e70250–e70250.

Macías, Manuel, et al.. (2025). Laparoscopic Resection in the Management of Non-adrenal and Non-renal Retroperitoneal Tumors: A Systematic Review. Cureus. 17(9). e92403–e92403.

Abete, Itziar, Josep A. Tur, Xavier Pintó, et al.. (2019). Influence of lifestyle factors and staple foods from the Mediterranean diet on non-alcoholic fatty liver disease among older individuals with metabolic syndrome features. Nutrition. 71. 110620–110620. 35 indexed citations

Porrini, Esteban, Juan Manuel Díaz, Francesc Moreso, et al.. (2019). Prediabetes is a risk factor for cardiovascular disease following renal transplantation. Kidney International. 96(6). 1374–1380. 32 indexed citations

Abete, Itziar, Josep A. Tur, Xavier Pintó, et al.. (2019). Risk factors differentially associated with non-alcoholic fatty liver disease in males and females with metabolic syndrome. Revista Española de Enfermedades Digestivas. 112(2). 94–100. 7 indexed citations

Lariño‐Noia, José, Daniel de la Iglesia, Julio Iglesias‐García, et al.. (2018). Endoscopic ultrasound cytologic brushing vs endoscopic ultrasound: fine needle aspiration for cytological diagnosis of cystic pancreatic lesions. A multicenter, randomized open-label trial. Revista Española de Enfermedades Digestivas. 110(8). 478–484. 6 indexed citations

Iglesias‐García, Julio, José Lariño‐Noia, Manuel Macías, et al.. (2012). Sa1499 A Multicenter, Prospective, Comparative, Randomized Open-Trial of Endoscopic Ultrasound Cytologic Brushing vs Fine-Needle Aspiration (FNA) for the Pathological Diagnosis of Cystic Pancreatic Lesions. Gastrointestinal Endoscopy. 75(4). AB181–AB181. 3 indexed citations

Mayas, Marı́a Dolores, María Isabel Queipo‐Ortuño, Mercedes Clemente‐Postigo, et al.. (2010). Influence of a fat overload on lipogenic regulators in metabolic syndrome patients. British Journal Of Nutrition. 105(6). 895–901. 7 indexed citations

Suárez, Juan, Francisco J. Bermúdez‐Silva, Patricia Rivera, et al.. (2010). Expression of the cannabinoid system in muscle: effects of a high-fat diet and CB1 receptor blockade. Biochemical Journal. 433(1). 175–185. 62 indexed citations

10.

Gómez‐Rubio, Mariano, et al.. (2009). Safety and diagnostic accuracy of percutaneous ultrasound‐guided biopsy of the spleen: A multicenter study. Journal of Clinical Ultrasound. 37(8). 445–450. 36 indexed citations

11.

Pavón, Francisco Javier, Antonia Serrano, Vidal Perez‐Valero, et al.. (2008). Central Versus Peripheral Antagonism of Cannabinoid CB1 Receptor in Obesity: Effects of LH‐21, a Peripherally Acting Neutral Cannabinoid Receptor Antagonist, in Zucker Rats. Journal of Neuroendocrinology. 20(s1). 116–123. 70 indexed citations

12.

Serrano, Antonia, Ignacio del Arco, Francisco Javier Pavón, et al.. (2007). The cannabinoid CB1 receptor antagonist SR141716A (Rimonabant) enhances the metabolic benefits of long-term treatment with oleoylethanolamide in Zucker rats. Neuropharmacology. 54(1). 226–234. 76 indexed citations

13.

Queipo‐Ortuño, María Isabel, Juan Colmenero, Manuel Macías, María José Bravo, & Pilar Morata. (2007). Preparation of Bacterial DNA Template by Boiling and Effect of Immunoglobulin G as an Inhibitor in Real-Time PCR for Serum Samples from Patients with Brucellosis. Clinical and Vaccine Immunology. 15(2). 293–296. 195 indexed citations

14.

Pavón, Francisco Javier, Ainhoa Bilbao, Laura Hernández‐Folgado, et al.. (2006). Antiobesity effects of the novel in vivo neutral cannabinoid receptor antagonist 5-(4-chlorophenyl)-1-(2,4-dichlorophenyl)-3-hexyl-1H-1,2,4-triazole – LH 21. Neuropharmacology. 51(2). 358–366. 102 indexed citations

15.

Dı́az, Fernando, et al.. (2002). Dilutional Hyponatremia in Patients With Cirrhosis and Ascites. Archives of Internal Medicine. 162(3). 323–323. 122 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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