Miriam Nuño
- Surgery top 10%
- Neurology top 5%
- Public Health, Environmental and Occupational Health top 10%
- Modeling and Simulation top 1%
- Epidemiology
- Co-authors
- M. Marcel MayaWouter I. SchievinkBeatrice UgiliwenezaGerardo ChowellMaxwell BoakyeDean SherzaiDale ShermanDoniel Drazin
- Topics
- COVID-19 epidemiological studies (13 papers)Neurosurgical Procedures and Complications (9 papers)Intracerebral and Subarachnoid Hemorrhage Research (6 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesCosta RicaCanada
In The Last Decade
Miriam Nuño
78 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Surgery 520
- Neurology 414
- Public Health, Environmental and Occupational Health 267
- Modeling and Simulation 227
- Epidemiology 226
Countries citing papers authored by Miriam Nuño
This map shows the geographic impact of Miriam Nuño'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 Miriam Nuño with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Nuño more than expected).
Fields of papers citing papers by Miriam Nuño
This network shows the impact of papers produced by Miriam Nuño. 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 Miriam Nuño. The network helps show where Miriam Nuño may publish in the future.
Co-authorship network of co-authors of Miriam Nuño
This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Nuño. A scholar is included among the top collaborators of Miriam Nuño 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 Miriam Nuño. Miriam Nuño is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 35 | |
| 11 | 4 | |
| 12 | 25 | |
| 13 | 15 | |
| 14 | 10 | |
| 15 | Enhanced Recovery After Surgery (ERAS) for Spine Surgery: A Systematic Reviewbreakdown → | 211 |
| 16 | 11 | |
| 17 | 9 | |
| 18 | 30 | |
| 19 | 13 | |
| 20 | 16 |
About Miriam Nuño
Miriam Nuño is a scholar working on Modeling and Simulation, Neurology and Emergency Medicine, having authored 79 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (13 papers), Neurosurgical Procedures and Complications (9 papers) and Intracerebral and Subarachnoid Hemorrhage Research (6 papers). The work is most often cited by research in Modeling and Simulation (227 citations), Neurology (414 citations) and Surgery (520 citations). Miriam Nuño has collaborated with scholars based in United States, Costa Rica and Canada. Frequent co-authors include M. Marcel Maya, Wouter I. Schievink, Beatrice Ugiliweneza, Gerardo Chowell, Maxwell Boakye, Dean Sherzai, Dale Sherman, Doniel Drazin, Mayur Sharma and Abba B. Gumel. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.