Miguel Rovira
- Aging top 2%
- Physiology top 5%
- Telomeres, Telomerase, and Senescence 6
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques 5
- RNA Interference and Gene Delivery 4
- Retinal Development and Disorders 1
- Pluripotent Stem Cells Research 1
- Immunology top 10%
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- Nanoplatforms for cancer theranostics 2
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- Autophagy in Disease and Therapy 1
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- Advanced Breast Cancer Therapies 1
- Co-authors
- Manuel SerranoBeatriz Lozano‐TorresRamón Martínez‐MáñezFélix SancenónDaniel Muñoz‐EspínMaribel Muñoz‐MartínAndrea BernardosCarmen Blanco‐Aparicio
- Cited by
- AgingPhysiologyMolecular Biology
- Journals
- Aging Cell (2 papers)Journal of the American Chemical Society (1 paper)Nature Reviews Chemistry (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Miguel Rovira
10 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Aging 126
- Physiology 639
- Molecular Biology 743
- Immunology 222
- Endocrine and Autonomic Systems 48
Countries citing papers authored by Miguel Rovira
This map shows the geographic impact of Miguel Rovira'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 Miguel Rovira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Rovira more than expected).
Fields of papers citing papers by Miguel Rovira
This network shows the impact of papers produced by Miguel Rovira. 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 Miguel Rovira. The network helps show where Miguel Rovira may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miguel Rovira, 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 | 2022 | 62 | |
| 2 | 2021 | 44 | |
| 3 | 2020 | 209 | |
| 4 | 2019 | 57 | |
| 5 | 2019 | 113 | |
| 6 | 2018 | 250 | |
| 7 | 2017 | 4 | |
| 8 | 2017 | 161 | |
| 9 | Tissue damage and senescence provide critical signals for cellular reprogramming in vivobreakdown → | 2016 | 437 |
| 10 | 2015 | 11 |
About Miguel Rovira
Miguel Rovira is a scholar working on Physiology, Physiology, Biophysics, Molecular Biology and Cancer Research, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA Interference and Gene Delivery (4 papers), Nanoplatforms for cancer theranostics (2 papers), Autophagy in Disease and Therapy (1 paper), Advanced Breast Cancer Therapies (1 paper), Retinal Development and Disorders (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Aging (126 citations), Physiology (639 citations), Molecular Biology (743 citations), Immunology (222 citations) and Endocrine and Autonomic Systems (48 citations). Miguel Rovira has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Manuel Serrano, Beatriz Lozano‐Torres, Ramón Martínez‐Máñez, Félix Sancenón, Daniel Muñoz‐Espín, Maribel Muñoz‐Martín, Andrea Bernardos, Carmen Blanco‐Aparicio, Irene Galiana and Pablo J. Fernández-Marcos. Their work appears in journals such as Aging Cell, Journal of the American Chemical Society, Nature Reviews Chemistry, Analytical Chemistry and Science.
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.