Gloria Aguayo

2.2k total citations
60 papers, 746 citations indexed

About

Gloria Aguayo is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gloria Aguayo has authored 60 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Physiology and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gloria Aguayo's work include Diabetes Management and Research (11 papers), Diabetes and associated disorders (8 papers) and Diabetes Management and Education (7 papers). Gloria Aguayo is often cited by papers focused on Diabetes Management and Research (11 papers), Diabetes and associated disorders (8 papers) and Diabetes Management and Education (7 papers). Gloria Aguayo collaborates with scholars based in Luxembourg, France and Chile. Gloria Aguayo's co-authors include Laurent Malisoux, Michel Vaillant, Saverio Stranges, Daniel R. Witte, Anna Schritz, Anne‐Françoise Donneau, Michèle Guillaume, Guy Fagherazzi, Oscar H. Franco and Charles B. Pull and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Gloria Aguayo

56 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gloria Aguayo Luxembourg 13 302 276 168 104 97 60 746
Chih-Hsueh Lin Taiwan 19 202 0.7× 316 1.1× 68 0.4× 242 2.3× 90 0.9× 51 1.1k
Giulia Ogliari United Kingdom 18 160 0.5× 217 0.8× 54 0.3× 75 0.7× 78 0.8× 30 952
Camilla Prete Italy 10 229 0.8× 171 0.6× 105 0.6× 52 0.5× 51 0.5× 15 542
I‐Chien Wu Taiwan 15 214 0.7× 307 1.1× 55 0.3× 47 0.5× 39 0.4× 54 753
Satoshi Ida Japan 16 291 1.0× 569 2.1× 42 0.3× 179 1.7× 214 2.2× 53 993
Anna Schritz Luxembourg 12 280 0.9× 232 0.8× 174 1.0× 44 0.4× 19 0.2× 24 599
Luigi D’Ambrosio Italy 12 273 0.9× 150 0.5× 118 0.7× 121 1.2× 14 0.1× 20 931
Jamie N. Brown United States 19 149 0.5× 81 0.3× 48 0.3× 105 1.0× 70 0.7× 69 911
Kent H. Summers United States 17 112 0.4× 123 0.4× 173 1.0× 178 1.7× 196 2.0× 49 1.0k
Ryutaro Kaneko Japan 15 283 0.9× 518 1.9× 42 0.3× 116 1.1× 208 2.1× 38 833

Countries citing papers authored by Gloria Aguayo

Since Specialization
Citations

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

Fields of papers citing papers by Gloria Aguayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gloria Aguayo

This figure shows the co-authorship network connecting the top 25 collaborators of Gloria Aguayo. A scholar is included among the top collaborators of Gloria Aguayo 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 Gloria Aguayo. Gloria Aguayo 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.
Aguayo, Gloria, et al.. (2025). Impact of the Exposome in Type 1 Diabetes: Protocol for a Scoping Review. JMIR Research Protocols. 14. e73424–e73424.
3.
Hanff, Anne-Ma rie, Christopher McCrum, Armin Rauschenberger, et al.. (2025). Sex-specific progression of Parkinson's disease: A longitudinal mixed-models analysis. Journal of Parkinson s Disease. 15(4). 805–818. 2 indexed citations
4.
Aguayo, Gloria, Emmanuel Cosson, Éric Renard, et al.. (2025). Clinical phenotyping of people living with type 1 diabetes according to their levels of diabetes-related distress: results from the SFDT1 cohort. BMJ Open Diabetes Research & Care. 13(1). e004524–e004524. 1 indexed citations
5.
Julla, Jean‐Baptiste, Guy Fagherazzi, Pierre Gourdy, et al.. (2025). Beyond overweight, visceral adiposity is associated with estimation of cardiovascular risk in patients living with type 1 diabetes: findings from the SFDT1 cohort. Cardiovascular Diabetology. 24(1). 256–256. 1 indexed citations
7.
Schierloh, Ulrike, Gloria Aguayo, Anna Schritz, et al.. (2024). Fear of hypoglycemia and sleep in children with type 1 diabetes and their parents. Frontiers in Endocrinology. 15. 1419502–1419502. 2 indexed citations
8.
Cosson, Emmanuel, Marie Auzanneau, Gloria Aguayo, et al.. (2024). Sex inequalities in cardiovascular risk factors and their management in primary prevention in adults living with type 1 diabetes in Germany and France: findings from DPV and SFDT1. Cardiovascular Diabetology. 23(1). 342–342. 3 indexed citations
9.
Aguayo, Gloria, Lu Zhang, Michel Vaillant, et al.. (2023). Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study. BMC Medical Research Methodology. 23(1). 8–8. 11 indexed citations
12.
Hanff, Anne-Ma rie, Christopher McCrum, Armin Rauschenberger, et al.. (2023). Validation of a Parkinson's disease questionnaire-39-based functional mobility composite score (FMCS) in people with Parkinson's disease. Parkinsonism & Related Disorders. 112. 105442–105442. 2 indexed citations
13.
Fischer, Aurélie, et al.. (2022). Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research. SHILAP Revista de lepidopterología. 11(2). e40655–e40655. 8 indexed citations
14.
Zhang, Lu, Aurélie Fischer, Vladimir Despotović, et al.. (2022). Vocal biomarker predicts fatigue in people with COVID-19: results from the prospective Predi-COVID cohort study. BMJ Open. 12(11). e062463–e062463. 12 indexed citations
15.
Aguayo, Gloria, Catherine Goetzinger, Renza Scibilia, et al.. (2021). Methods to Generate Innovative Research Ideas and Improve Patient and Public Involvement in Modern Epidemiological Research: Review, Patient Viewpoint, and Guidelines for Implementation of a Digital Cohort Study. Journal of Medical Internet Research. 23(12). e25743–e25743. 19 indexed citations
16.
Fagherazzi, Guy, Lu Zhang, Gloria Aguayo, et al.. (2021). Towards precision cardiometabolic prevention: results from a machine learning, semi-supervised clustering approach in the nationwide population-based ORISCAV-LUX 2 study. Scientific Reports. 11(1). 16056–16056. 10 indexed citations
17.
García, Patricia, Sergio L. Vargas, Helga Weber, et al.. (2020). Hippo-YAP1 Is a Prognosis Marker and Potentially Targetable Pathway in Advanced Gallbladder Cancer. Cancers. 12(4). 778–778. 26 indexed citations
18.
Bocquet, Valéry, et al.. (2018). Multiplicative effect of mild depressive symptoms with diabetes on other chronic conditions. European Journal of Public Health. 28(suppl_4). 1 indexed citations
19.
Aguayo, Gloria, Michel Vaillant, Anne‐Françoise Donneau, et al.. (2018). Comparative analysis of the association between 35 frailty scores and cardiovascular events, cancer, and total mortality in an elderly general population in England: An observational study. PLoS Medicine. 15(3). e1002543–e1002543. 63 indexed citations
20.
Tapia, José Luís, et al.. (1990). Incidencia de displasia broncopulmonar: Incidence. Revista chilena de pediatría. 61(3). 130–3. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026