David Subías

3.7k citations
9 papers · 146 · h-index 7

Impact in

Papers in

    • Diabetes Management and Research 6
    • Pituitary Gland Disorders and Treatments 2
    • Diabetes Management and Education 2
    • Adrenal Hormones and Disorders 2
    • Pancreatic function and diabetes 2

David Subías

9 papers receiving 143 citations

Peers

David Subías
Comparison fields: 5 of 51
  • Endocrinology, Diabetes and Metabolism 87
  • Cancer Research 23
  • Genetics 39
  • Surgery 47
  • Health Information Management 4
Replace Annemari Käräjämäki with:
Annemari Käräjämäki Finland
Elisa Benetti Italy
Brynjar Ö. Jensson Iceland
Gudny A. Arnadottir Iceland
Sergio L. Vargas Chile
Zhen Ye China
Émilie Gobeil Canada
Sara Barraud France
Joanna Kramer United States
David Subías relative to Annemari Käräjämäki Finland Annemari Käräjämäki's profile →
Citations per field
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Annemari Käräjämäki · 1×
Citations per year

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-authors

The 25 scholars most cited alongside David Subías, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Subías Line = papers co-authored together David Subías links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201244
2 201825
3 201323
4 201719
5 202312
6 201812
7 20199
8 20141
9 20251

About David Subías

David Subías is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 9 papers that have together received 146 indexed citations. Recurring topics across this work include Diabetes Management and Research (6 papers), Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Diabetes Management and Education (2 papers), Adrenal Hormones and Disorders (2 papers), Artificial Intelligence in Healthcare (1 paper) and Cardiovascular Health and Disease Prevention (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (87 citations), Cancer Research (23 citations), Genetics (39 citations), Surgery (47 citations) and Health Information Management (4 citations). David Subías has collaborated with scholars based in Spain and Russia. Frequent co-authors include Mercedes Rigla, Gemma Llauradó, Matilde R. Chacón, Joan Vendrell, Elsa Maymó‐Masip, José-Miguel González-Clemente, Gema García-Sáez, M. Elena Hernando, Enrique J. Gómez Aguilera and Ismael Capel. Their work appears in journals such as Diabetes Technology & Therapeutics, Journal of Diabetes Science and Technology, Frontiers in Psychology, Endocrine Practice and Diabetes Research and Clinical Practice.

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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