Raúl Navarro-Gil

608 total citations · 1 hit paper
8 papers, 440 citations indexed

About

Raúl Navarro-Gil is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Nephrology. According to data from OpenAlex, Raúl Navarro-Gil has authored 8 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ophthalmology, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Nephrology. Recurrent topics in Raúl Navarro-Gil's work include Retinal Imaging and Analysis (7 papers), Retinal Diseases and Treatments (7 papers) and Chronic Kidney Disease and Diabetes (3 papers). Raúl Navarro-Gil is often cited by papers focused on Retinal Imaging and Analysis (7 papers), Retinal Diseases and Treatments (7 papers) and Chronic Kidney Disease and Diabetes (3 papers). Raúl Navarro-Gil collaborates with scholars based in Spain. Raúl Navarro-Gil's co-authors include Pedro Romero‐Aroca, Marc Baget‐Bernaldiz, Alicia Ríos, Maribel López-Gálvez, Antonio Moreno, Aı̈da Valls, Ramón Sagarra, Joan Barrot, Xavier Mundet and Domènec Puig and has published in prestigious journals such as British Journal of Ophthalmology, Journal of Clinical Medicine and Journal of Diabetes Research.

In The Last Decade

Raúl Navarro-Gil

7 papers receiving 425 citations

Hit Papers

Diabetic Macular Edema Pathophysiology: Vasogenic versus ... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raúl Navarro-Gil Spain 4 369 312 56 28 27 8 440
Yunkao Zeng China 14 534 1.4× 418 1.3× 106 1.9× 30 1.1× 21 0.8× 30 657
Sunil Moreker Brazil 2 450 1.2× 424 1.4× 46 0.8× 12 0.4× 31 1.1× 2 528
Xuenan Zhuang China 9 302 0.8× 237 0.8× 48 0.9× 28 1.0× 11 0.4× 30 352
Radha Das United Kingdom 9 425 1.2× 394 1.3× 38 0.7× 7 0.3× 21 0.8× 11 484
Isabel Méndez-Marín Spain 9 296 0.8× 229 0.7× 26 0.5× 71 2.5× 62 2.3× 11 378
A. Lecleire–Collet France 14 669 1.8× 574 1.8× 100 1.8× 9 0.3× 18 0.7× 23 758
J. J. Wang Australia 9 261 0.7× 245 0.8× 35 0.6× 7 0.3× 15 0.6× 13 392
Kuan‐Yu Lin Taiwan 5 157 0.4× 109 0.3× 60 1.1× 12 0.4× 47 1.7× 14 299
Dorota Raczyńska Poland 11 235 0.6× 190 0.6× 63 1.1× 7 0.3× 23 0.9× 20 364
Maria Tyrberg Sweden 9 226 0.6× 177 0.6× 69 1.2× 27 1.0× 49 1.8× 9 288

Countries citing papers authored by Raúl Navarro-Gil

Since Specialization
Citations

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

Fields of papers citing papers by Raúl Navarro-Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raúl Navarro-Gil. 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 Raúl Navarro-Gil. The network helps show where Raúl Navarro-Gil may publish in the future.

Co-authorship network of co-authors of Raúl Navarro-Gil

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

All Works

8 of 8 papers shown
1.
Baget‐Bernaldiz, Marc, et al.. (2024). Artificial Intelligence-Based Screening System for Diabetic Retinopathy in Primary Care. Diagnostics. 14(17). 1992–1992. 2 indexed citations
2.
Baget‐Bernaldiz, Marc, et al.. (2023). Risk Factors for Recurrent Vitreous Hemorrhage in Type 2 Diabetes Mellitus Patients after Posterior Vitrectomy. Journal of Clinical Medicine. 12(8). 2989–2989. 2 indexed citations
3.
Romero‐Aroca, Pedro, et al.. (2022). Differences in Multifocal Electroretinogram Study in Two Populations of Type 1 and Type 2 Diabetes Mellitus Patients without Diabetic Retinopathy. Journal of Clinical Medicine. 11(19). 5824–5824. 2 indexed citations
4.
Romero‐Aroca, Pedro, Raúl Navarro-Gil, Albert Feliu, et al.. (2021). The Effect of HbA1c Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus. Diagnostics. 11(7). 1151–1151.
5.
Baget‐Bernaldiz, Marc, Pedro Romero‐Aroca, Raúl Navarro-Gil, et al.. (2021). Testing a Deep Learning Algorithm for Detection of Diabetic Retinopathy in a Spanish Diabetic Population and with MESSIDOR Database. Diagnostics. 11(8). 1385–1385. 30 indexed citations
6.
Romero‐Aroca, Pedro, Marc Baget‐Bernaldiz, Raúl Navarro-Gil, et al.. (2018). Glomerular Filtration Rate and/or Ratio of Urine Albumin to Creatinine as Markers for Diabetic Retinopathy: A Ten-Year Follow-Up Study. Journal of Diabetes Research. 2018. 1–9. 44 indexed citations
7.
Romero‐Aroca, Pedro, et al.. (2017). Differences in incidence of diabetic retinopathy between type 1 and 2 diabetes mellitus: a nine-year follow-up study. British Journal of Ophthalmology. 101(10). 1346–1351. 78 indexed citations
8.
Romero‐Aroca, Pedro, et al.. (2016). Diabetic Macular Edema Pathophysiology: Vasogenic versus Inflammatory. Journal of Diabetes Research. 2016. 1–17. 282 indexed citations breakdown →

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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