Iñaki Argüelles
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- Thyroid Cancer Diagnosis and Treatment 14
- Diabetes Management and Research 2
- Physiology top 10%
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- Artificial Intelligence in Healthcare and Education 2
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- Thyroid and Parathyroid Surgery 7
- Head and Neck Anomalies 5
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- Radiomics and Machine Learning in Medical Imaging 2
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- BRCA gene mutations in cancer 2
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- Muscle metabolism and nutrition 2
- Co-authors
- Esteban M. GorostiagaLuis ForgaJavier IbáñezMíkel IzquierdoMarisol García‐UncitiFernando IdoateSantiago ToféAlicia M. Alonso‐Martínez
- Journals
- SHILAP Revista de lepidopterología (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Diabetes Care (1 paper)
- Partner nations
- SpainUnited States
In The Last Decade
Iñaki Argüelles
20 papers receiving 467 citations
Peers
Comparison fields: 5 of 72
- Endocrinology, Diabetes and Metabolism 231
- Complementary and alternative medicine 96
- Physiology 212
- Health Informatics 9
- Rehabilitation 33
Countries citing papers authored by Iñaki Argüelles
This map shows the geographic impact of Iñaki Argüelles'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 Iñaki Argüelles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iñaki Argüelles more than expected).
Fields of papers citing papers by Iñaki Argüelles
This network shows the impact of papers produced by Iñaki Argüelles. 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 Iñaki Argüelles. The network helps show where Iñaki Argüelles may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Iñaki Argüelles, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2018 | 30 | |
| 11 | 2017 | 6 | |
| 12 | 2017 | 6 | |
| 13 | 2013 | 20 | |
| 14 | 2013 | 5 | |
| 15 | 2011 | 4 | |
| 16 | 2010 | 23 | |
| 17 | 2009 | 5 | |
| 18 | Manejo de estresores y adhesión al tratamiento de pacientes jóvenes diabéticos tipo 1 insulinodependientes con mal control metabólico | 2009 | 0 |
| 19 | 2008 | 42 | |
| 20 | 2005 | 310 |
About Iñaki Argüelles
Iñaki Argüelles is a scholar working on Health Informatics, Endocrinology, Diabetes and Metabolism and Surgery, having authored 22 papers that have together received 496 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (14 papers), Thyroid and Parathyroid Surgery (7 papers), Head and Neck Anomalies (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), BRCA gene mutations in cancer (2 papers), Muscle metabolism and nutrition (2 papers), Diabetes Management and Research (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (231 citations), Complementary and alternative medicine (96 citations) and Physiology (212 citations). Iñaki Argüelles has collaborated with scholars based in Spain and United States. Frequent co-authors include Esteban M. Gorostiaga, Luis Forga, Javier Ibáñez, Míkel Izquierdo, Marisol García‐Unciti, Fernando Idoate, Santiago Tofé, Alicia M. Alonso‐Martínez, José Carlos Fernández‐García and Francisco J. Tinahones. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.