David Subías

3.7k total citations
9 papers, 146 citations indexed

About

David Subías is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, David Subías has authored 9 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Surgery and 3 papers in Genetics. Recurrent topics in David Subías's work include Diabetes Management and Research (6 papers), Diabetes and associated disorders (3 papers) and Pituitary Gland Disorders and Treatments (2 papers). David Subías is often cited by papers focused on Diabetes Management and Research (6 papers), Diabetes and associated disorders (3 papers) and Pituitary Gland Disorders and Treatments (2 papers). David Subías collaborates with scholars based in Spain and Russia. David Subías's co-authors include Mercedes Rigla, Gemma Llauradó, Elsa Maymó‐Masip, Joan Vendrell, Matilde R. Chacón, José-Miguel González-Clemente, M. Elena Hernando, Gema García-Sáez, Enrique J. Gómez Aguilera and Ismael Capel and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and Diabetes Research and Clinical Practice.

In The Last Decade

David Subías

9 papers receiving 143 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Subías Spain	7	87	47	39	28	23	9	146
Elisa Benetti Italy	7	52 0.6×	38 0.8×	34 0.9×	85 3.0×	7 0.3×	23	210
Annemari Käräjämäki Finland	6	79 0.9×	62 1.3×	100 2.6×	50 1.8×	12 0.5×	9	167
Brynjar Ö. Jensson Iceland	4	30 0.3×	34 0.7×	25 0.6×	36 1.3×	22 1.0×	5	95
Gudny A. Arnadottir Iceland	5	30 0.3×	36 0.8×	34 0.9×	47 1.7×	25 1.1×	8	124
Hugo Lee United States	6	67 0.8×	138 2.9×	108 2.8×	44 1.6×	6 0.3×	9	214
Assen Goudev Bulgaria	4	25 0.3×	21 0.4×	19 0.5×	37 1.3×	10 0.4×	9	109
Joanna Kramer United States	5	54 0.6×	64 1.4×	102 2.6×	51 1.8×	11 0.5×	5	166
Émilie Gobeil Canada	7	26 0.3×	32 0.7×	29 0.7×	27 1.0×	12 0.5×	15	121
Ilana Pollack United States	3	33 0.4×	63 1.3×	37 0.9×	78 2.8×	13 0.6×	6	136

Countries citing papers authored by David Subías

Since Specialization

Citations

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

Fields of papers citing papers by David Subías

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Subías

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

All Works

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9 of 9 papers shown

García-Sáez, Gema, et al.. (2025). Deep Transfer Learning for Glucose Prediction Adding Physical Activity Data in Type 1 Diabetes. 317–322. 1 indexed citations

Albert, Lara, et al.. (2023). Off-label use of an automated insulin delivery system in pregnant women with type 1 diabetes. Diabetes Research and Clinical Practice. 202. 110800–110800. 12 indexed citations

Albert, Lara, Jordi Sánchez‐Delgado, Ismael Capel, et al.. (2019). Salivary Cortisol Determination in ACTH Stimulation Test to Diagnose Adrenal Insufficiency in Patients with Liver Cirrhosis. International Journal of Endocrinology. 2019. 1–8. 9 indexed citations

García-Sáez, Gema, et al.. (2018). Decision Support in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living Using a Mobile Glucose Predictor. Journal of Diabetes Science and Technology. 12(2). 243–250. 25 indexed citations

Rigla, Mercedes, Belén Pons, Pere Rebasa, et al.. (2018). Human Subcutaneous Tissue Response to Glucose Sensors: Macrophages Accumulation Impact on Sensor Accuracy. Diabetes Technology & Therapeutics. 20(4). 296–302. 12 indexed citations

Boronat, Mauro, Lía Nattero‐Chávez, Natalia Hillman, et al.. (2017). ViDa1: The Development and Validation of a New Questionnaire for Measuring Health-Related Quality of Life in Patients with Type 1 Diabetes. Frontiers in Psychology. 8. 904–904. 19 indexed citations

Capel, Ismael, Olga Giménez‐Palop, David Subías, & Mercedes Rigla. (2014). Topiramate as a Cause of False Positive in the Overnight 1-Mg Dexamethasone Suppression Test. Endocrine Practice. 20(7). e116–e118. 1 indexed citations

Capel, Ismael, Mercedes Rigla, Gema García-Sáez, et al.. (2013). Artificial Pancreas Using a Personalized Rule-Based Controller Achieves Overnight Normoglycemia in Patients with Type 1 Diabetes. Diabetes Technology & Therapeutics. 16(3). 172–179. 23 indexed citations

Llauradó, Gemma, José-Miguel González-Clemente, Elsa Maymó‐Masip, et al.. (2012). Serum Levels of TWEAK and Scavenger Receptor CD163 in Type 1 Diabetes Mellitus: Relationship with Cardiovascular Risk Factors. A Case-Control Study. PLoS ONE. 7(8). e43919–e43919. 44 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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