David Navarro‐González

1.6k total citations · 1 hit paper
11 papers, 911 citations indexed

About

David Navarro‐González is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, David Navarro‐González has authored 11 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 7 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in David Navarro‐González's work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Diet, Metabolism, and Disease (4 papers). David Navarro‐González is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Diet, Metabolism, and Disease (4 papers). David Navarro‐González collaborates with scholars based in Spain, Italy and Israel. David Navarro‐González's co-authors include Alejandro Fernández‐Montero, Juan Pastrana Delgado, Laura Sánchez‐Íñigo, J. Alfredo Martínéz, JA Martínez, Diego Martínez‐Urbistondo, Elisabetta Bugianesi, Ana E. Huerta, Manuel F. Landecho and Delia D’Avola and has published in prestigious journals such as Medicine, Preventive Medicine and Obesity.

In The Last Decade

David Navarro‐González

11 papers receiving 894 citations

Hit Papers

The TyG index may predict the development of cardiovascul... 2015 2026 2018 2022 2015 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The TyG index may predict the development of cardiovascular events
    2015 386 citations Laura Sánchez‐Íñigo, David Navarro‐González et al. European Journal of Clinical Investigation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Navarro‐González Spain 7 537 354 345 123 114 11 911
Donají Gómez‐Velasco Mexico 10 372 0.7× 179 0.5× 259 0.8× 72 0.6× 93 0.8× 22 717
Sen He China 15 298 0.6× 244 0.7× 207 0.6× 86 0.7× 143 1.3× 75 746
Dorit Tekes-Manova Israel 12 498 0.9× 237 0.7× 191 0.6× 153 1.2× 120 1.1× 16 1.0k
Marina Skiba Australia 16 358 0.7× 224 0.6× 101 0.3× 120 1.0× 211 1.9× 39 965
Simi Kohli Canada 8 375 0.7× 280 0.8× 238 0.7× 136 1.1× 333 2.9× 10 1.0k
Ebenezer Oni United States 12 268 0.5× 296 0.8× 460 1.3× 59 0.5× 51 0.4× 26 753
John Brandberg Sweden 15 213 0.4× 203 0.6× 180 0.5× 129 1.0× 141 1.2× 33 969
Florence Conus Canada 10 364 0.7× 228 0.6× 367 1.1× 85 0.7× 281 2.5× 19 1.1k
Alena Krajčoviechová Czechia 14 124 0.2× 394 1.1× 148 0.4× 164 1.3× 90 0.8× 38 719
Tracy L. Setji United States 14 345 0.6× 234 0.7× 176 0.5× 188 1.5× 180 1.6× 27 867

Countries citing papers authored by David Navarro‐González

Since Specialization
Citations

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

Fields of papers citing papers by David Navarro‐González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Navarro‐González. 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 David Navarro‐González. The network helps show where David Navarro‐González may publish in the future.

Co-authorship network of co-authors of David Navarro‐González

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

All Works

11 of 11 papers shown
1.
Martínez‐Urbistondo, Diego, Ana E. Huerta, David Navarro‐González, et al.. (2023). Estimation of fatty liver disease clinical role on glucose metabolic remodelling phenotypes and T2DM onset. European Journal of Clinical Investigation. 53(10). e14036–e14036. 2 indexed citations
2.
Sánchez‐Íñigo, Laura, David Navarro‐González, Diego Martínez‐Urbistondo, et al.. (2023). Repercussions of absolute and time-rated BMI “yo-yo” fluctuations on cardiovascular stress-related morbidities within the vascular-metabolic CUN cohort. Frontiers in Endocrinology. 13. 1087554–1087554. 4 indexed citations
3.
Martínez‐Urbistondo, Diego, Delia D’Avola, David Navarro‐González, et al.. (2022). Interactive Role of Surrogate Liver Fibrosis Assessment and Insulin Resistance on the Incidence of Major Cardiovascular Events. Journal of Clinical Medicine. 11(17). 5190–5190. 2 indexed citations
4.
Navarro‐González, David, et al.. (2018). Extranodal NK/T cell lymphoma, nasal type. 1(3). 1 indexed citations
5.
Navarro‐González, David, Laura Sánchez‐Íñigo, Alejandro Fernández‐Montero, Juan Pastrana Delgado, & J. Alfredo Martínéz. (2016). TyG Index Change Is More Determinant for Forecasting Type 2 Diabetes Onset Than Weight Gain. Medicine. 95(19). e3646–e3646. 32 indexed citations
6.
Sánchez‐Íñigo, Laura, David Navarro‐González, Juan Pastrana Delgado, Alejandro Fernández‐Montero, & J. Alfredo Martínéz. (2016). Association of triglycerides and new lipid markers with the incidence of hypertension in a Spanish cohort. Journal of Hypertension. 34(7). 1257–1265. 99 indexed citations
7.
Navarro‐González, David, Laura Sánchez‐Íñigo, Juan Pastrana Delgado, Alejandro Fernández‐Montero, & J. Alfredo Martínéz. (2016). Triglyceride–glucose index (TyG index) in comparison with fasting plasma glucose improved diabetes prediction in patients with normal fasting glucose: The Vascular-Metabolic CUN cohort. Preventive Medicine. 86. 99–105. 271 indexed citations
8.
Navarro‐González, David, Laura Sánchez‐Íñigo, Alejandro Fernández‐Montero, Juan Pastrana Delgado, & J. Alfredo Martínéz. (2016). Are all metabolically healthy individuals with obesity at the same risk of diabetes onset?. Obesity. 24(12). 2615–2623. 20 indexed citations
9.
Sánchez‐Íñigo, Laura, David Navarro‐González, Alejandro Fernández‐Montero, Juan Pastrana Delgado, & JA Martínez. (2016). Risk of incident ischemic stroke according to the metabolic health and obesity states in the Vascular-Metabolic CUN cohort. International Journal of Stroke. 12(2). 187–191. 41 indexed citations
10.
Sánchez‐Íñigo, Laura, David Navarro‐González, Alejandro Fernández‐Montero, Juan Pastrana Delgado, & J. Alfredo Martínéz. (2015). The TyG index may predict the development of cardiovascular events. European Journal of Clinical Investigation. 46(2). 189–197. 386 indexed citations breakdown →
11.
Navarro‐González, David, et al.. (2014). Prevalencia del síndrome del burnout y factores asociados a dicho síndrome en los profesionales sanitarios de Atención Primaria. Medicina de Familia SEMERGEN. 41(4). 191–198. 53 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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