Sandra Hurtado Rúa
- Pathology and Forensic Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Surgery
- Pulmonary and Respiratory Medicine
- Co-authors
- Thanh D. NguyenGraham B. SteadSusan A. GauthierSneha PandyaUlrike W. KaunznerYihao YaoYelena Y. JanjigianKyungmouk Steve Lee
- Topics
- Multiple Sclerosis Research Studies (8 papers)Advanced Neuroimaging Techniques and Applications (4 papers)Statistical Methods and Bayesian Inference (3 papers)
- Partner nations
- United StatesFranceAustria
In The Last Decade
Sandra Hurtado Rúa
30 papers receiving 823 citations
Peers
Comparison fields: 5 of 123
- Pathology and Forensic Medicine 211
- Radiology, Nuclear Medicine and Imaging 200
- Molecular Biology 133
- Surgery 113
- Pulmonary and Respiratory Medicine 111
Countries citing papers authored by Sandra Hurtado Rúa
This map shows the geographic impact of Sandra Hurtado Rúa'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 Sandra Hurtado Rúa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Hurtado Rúa more than expected).
Fields of papers citing papers by Sandra Hurtado Rúa
This network shows the impact of papers produced by Sandra Hurtado Rúa. 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 Sandra Hurtado Rúa. The network helps show where Sandra Hurtado Rúa may publish in the future.
Co-authorship network of co-authors of Sandra Hurtado Rúa
This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Hurtado Rúa. A scholar is included among the top collaborators of Sandra Hurtado Rúa 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 Sandra Hurtado Rúa. Sandra Hurtado Rúa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 36 | |
| 3 | 56 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 32 | |
| 9 | 37 | |
| 10 | 15 | |
| 11 | 61 | |
| 12 | 15 | |
| 13 | 16 | |
| 14 | 32 | |
| 15 | 4 | |
| 16 | 47 | |
| 17 | 46 | |
| 18 | 79 | |
| 19 | 71 | |
| 20 | 8 |
About Sandra Hurtado Rúa
Sandra Hurtado Rúa is a scholar working on Pathology and Forensic Medicine, Biological Psychiatry and Statistics and Probability, having authored 31 papers that have together received 834 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (211 citations), Radiology, Nuclear Medicine and Imaging (200 citations) and Neurology (104 citations). Sandra Hurtado Rúa has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Thanh D. Nguyen, Graham B. Stead, Susan A. Gauthier, Sneha Pandya, Ulrike W. Kaunzner, Yihao Yao, Yelena Y. Janjigian, Kyungmouk Steve Lee, Sinchun Hwang and Yi Wang. Their work appears in journals such as Journal of Clinical Oncology, Brain and Neurology.
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.