David Arroyo
- Nephrology top 0.5%
- Surgery top 10%
- Pathology and Forensic Medicine top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- José LuñoSoledad García de VinuesaMarián GoicoecheaÚrsula VerdallesJara AmpueroJosé Manuel ValdivielsoÀngels BetriuElvira Fernández
- Topics
- Blood Pressure and Hypertension Studies (9 papers)Lipoproteins and Cardiovascular Health (7 papers)Dialysis and Renal Disease Management (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Kidney Diseases
- Partner nations
- SpainUnited StatesAustralia
In The Last Decade
David Arroyo
43 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Nephrology 856
- Surgery 416
- Pathology and Forensic Medicine 283
- Cardiology and Cardiovascular Medicine 233
- Endocrinology, Diabetes and Metabolism 202
Countries citing papers authored by David Arroyo
This map shows the geographic impact of David Arroyo'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 Arroyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Arroyo more than expected).
Fields of papers citing papers by David Arroyo
This network shows the impact of papers produced by David Arroyo. 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 Arroyo. The network helps show where David Arroyo may publish in the future.
Co-authorship network of co-authors of David Arroyo
This figure shows the co-authorship network connecting the top 25 collaborators of David Arroyo. A scholar is included among the top collaborators of David Arroyo 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 Arroyo. David Arroyo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 26 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 28 | |
| 11 | 36 | |
| 12 | 14 | |
| 13 | 20 | |
| 14 | 5 | |
| 15 | 16 | |
| 16 | 10 | |
| 17 | 17 | |
| 18 | 11 | |
| 19 | 7 | |
| 20 | 18 |
About David Arroyo
David Arroyo is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (9 papers), Lipoproteins and Cardiovascular Health (7 papers) and Dialysis and Renal Disease Management (7 papers). The work is most often cited by research in Nephrology (856 citations), Pathology and Forensic Medicine (283 citations) and Endocrinology, Diabetes and Metabolism (202 citations). David Arroyo has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include José Luño, Soledad García de Vinuesa, Marián Goicoechea, Úrsula Verdalles, Jara Ampuero, José Manuel Valdivielso, Àngels Betriu, Elvira Fernández, Borja Quiroga and Nayara Panizo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Kidney Diseases.
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.