Puy Garrastachu
- Radiology, Nuclear Medicine and Imaging top 10%
- Physiology
- Pulmonary and Respiratory Medicine
- Epidemiology
- Surgery
- Co-authors
- María José García‐VellosoSara BecerrilGema FrühbeckNeira SáinźMacarena Rodríguez‐FraileJ RichterJavier ArbizuJosep M. Martí‐Climent
- Topics
- Medical Imaging Techniques and Applications (9 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Dementia and Cognitive Impairment Research (3 papers)
- Journals
- Trends in Pharmacological SciencesJournal of Nuclear MedicineEuropean Journal of Nuclear Medicine and Molecular Imaging
- Partner nations
- SpainItalyUnited States
In The Last Decade
Puy Garrastachu
21 papers receiving 485 citations
Peers
Comparison fields: 5 of 72
- Radiology, Nuclear Medicine and Imaging 168
- Physiology 147
- Pulmonary and Respiratory Medicine 125
- Epidemiology 92
- Surgery 63
Countries citing papers authored by Puy Garrastachu
This map shows the geographic impact of Puy Garrastachu'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 Puy Garrastachu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puy Garrastachu more than expected).
Fields of papers citing papers by Puy Garrastachu
This network shows the impact of papers produced by Puy Garrastachu. 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 Puy Garrastachu. The network helps show where Puy Garrastachu may publish in the future.
Co-authorship network of co-authors of Puy Garrastachu
This figure shows the co-authorship network connecting the top 25 collaborators of Puy Garrastachu. A scholar is included among the top collaborators of Puy Garrastachu 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 Puy Garrastachu. Puy Garrastachu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 41 | |
| 14 | 25 | |
| 15 | 21 | |
| 16 | 92 | |
| 17 | 150 | |
| 18 | 6 | |
| 19 | Dual-time point FDG imaging greatly improves the diagnosis of incidental uptake in the abdomino-pelvic area | 1 |
| 20 | 34 |
About Puy Garrastachu
Puy Garrastachu is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Geriatrics and Gerontology, having authored 22 papers that have together received 499 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Dementia and Cognitive Impairment Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (168 citations), Hepatology (53 citations) and Physiology (147 citations). Puy Garrastachu has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include María José García‐Velloso, Sara Becerril, Gema Frühbeck, Neira Sáinź, Macarena Rodríguez‐Fraile, J Richter, Javier Arbizu, Josep M. Martí‐Climent, Iván Peñuelas and Gemma Quincoces. Their work appears in journals such as Trends in Pharmacological Sciences, Journal of Nuclear Medicine and European Journal of Nuclear Medicine and Molecular Imaging.
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.