Anna Bonada

470 total citations
9 papers, 384 citations indexed

About

Anna Bonada is a scholar working on Physiology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Anna Bonada has authored 9 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 2 papers in Pathology and Forensic Medicine and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Anna Bonada's work include Nutrition and Health in Aging (4 papers), Cardiovascular Health and Disease Prevention (2 papers) and Blood Pressure and Hypertension Studies (2 papers). Anna Bonada is often cited by papers focused on Nutrition and Health in Aging (4 papers), Cardiovascular Health and Disease Prevention (2 papers) and Blood Pressure and Hypertension Studies (2 papers). Anna Bonada collaborates with scholars based in Spain, United States and France. Anna Bonada's co-authors include Jordi Salas‐Salvadó, Daniel Del Castillo, Pilar García‐Lorda, Mònica Bulló, R. Balanzà, Guillem Cuatrecasas, Mercè Hernández, Raquel Galvão Figuerêdo, Xavier Formiguera and Fàtima Sabench and has published in prestigious journals such as International Journal of Obesity, Clinical Nutrition and Obesity Surgery.

In The Last Decade

Anna Bonada

9 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Bonada Spain 8 224 88 85 59 52 9 384
Carmen Tenorio-Jiménez Spain 11 135 0.6× 42 0.5× 157 1.8× 24 0.4× 104 2.0× 30 501
Ayumi Kaji Japan 17 442 2.0× 89 1.0× 65 0.8× 23 0.4× 67 1.3× 36 602
Manjula Gowrishankar Canada 16 74 0.3× 44 0.5× 79 0.9× 40 0.7× 28 0.5× 36 528
Javad Savoj United States 8 107 0.5× 29 0.3× 43 0.5× 28 0.5× 49 0.9× 23 418
B. Hanesse France 7 175 0.8× 27 0.3× 56 0.7× 22 0.4× 96 1.8× 16 455
Huanmin Du China 10 209 0.9× 63 0.7× 35 0.4× 23 0.4× 134 2.6× 12 497
Gagan Mahajan United States 9 92 0.4× 32 0.4× 55 0.6× 70 1.2× 18 0.3× 13 340
Lorenza Di Pascoli Italy 7 329 1.5× 98 1.1× 65 0.8× 15 0.3× 258 5.0× 12 662
Nayera E. Hassan Egypt 12 120 0.5× 73 0.8× 25 0.3× 22 0.4× 67 1.3× 59 414
A. Rimbert France 9 304 1.4× 110 1.3× 38 0.4× 12 0.2× 35 0.7× 13 446

Countries citing papers authored by Anna Bonada

Since Specialization
Citations

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

Fields of papers citing papers by Anna Bonada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Bonada

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

All Works

9 of 9 papers shown
1.
Megías-Rangil, Isabel, Jordi Merino, Raimón Ferré, et al.. (2014). Subclinical atherosclerosis determinants in morbid obesity. Nutrition Metabolism and Cardiovascular Diseases. 24(9). 963–968. 12 indexed citations
2.
Burgos, R., Iñaki Elío, M. Planas, et al.. (2012). PREVALENCIA DE MALNUTRICIÓN Y SUS FACTORES ETIOLÓGICOS EN HOSPITALES. Nutrición Hospitalaria. 27(2). 469–476. 5 indexed citations
3.
Bulló, Mònica, et al.. (2012). Plasma vitamin D and parathormone are associated with obesity and atherogenic dyslipidemia: a cross-sectional study. Cardiovascular Diabetology. 11(1). 149–149. 72 indexed citations
4.
Merino, Jordi, Isabel Megías-Rangil, Raimón Ferré, et al.. (2012). Body Weight Loss by Very-Low-Calorie Diet Program Improves Small Artery Reactive Hyperemia in Severely Obese Patients. Obesity Surgery. 23(1). 17–23. 15 indexed citations
5.
Burgos, R., Iñaki Elío, M. Planás, et al.. (2012). Prevalence of malnutrition and its etiological factors in hospitals.. PubMed. 27(2). 469–76. 51 indexed citations
6.
Salas‐Salvadó, Jordi, Mònica Bulló, Pilar García‐Lorda, et al.. (2006). Subcutaneous adipose tissue cytokine production is not responsible for the restoration of systemic inflammation markers during weight loss. International Journal of Obesity. 30(12). 1714–1720. 71 indexed citations
7.
Salas‐Salvadó, Jordi, Miriam Torres‐Moreno, M. Planas, et al.. (2005). Effect of oral administration of a whole formula diet on nutritional and cognitive status in patients with Alzheimer's disease. Clinical Nutrition. 24(3). 390–397. 44 indexed citations
8.
Salas‐Salvadó, Jordi, Pilar García‐Lorda, Guillem Cuatrecasas, et al.. (2000). Wernicke's syndrome after bariatric surgery. Clinical Nutrition. 19(5). 371–373. 82 indexed citations
9.
García‐Lorda, Pilar, Pilar Serrano, María Jesús Jiménez‐Expósito, et al.. (2000). Cytokine‐Driven Inflammatory Response Is Associated with the Hypermetabolism of AIDS Patients with Opportunistic Infections. Journal of Parenteral and Enteral Nutrition. 24(6). 317–322. 32 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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