María Vera
Impact in
- Aging top 10%
- Immunology top 10%
- Complement system in diseases
Papers in
-
- RNA Research and Splicing 12
- RNA and protein synthesis mechanisms 10
- Heat shock proteins research 7
- RNA modifications and cancer 5
- RNA Interference and Gene Delivery 4
- Genomics and Chromatin Dynamics 3
- Co-authors
- Robert H. Singer (9 shared papers)Evelina Tutucci (5 shared papers)Jeetayu Biswas (3 shared papers)Sulagna Das (3 shared papers)Valentina Gandin (2 shared papers)Jennifer F. Garcia (1 shared paper)Roy Parker (1 shared paper)David Pérez-Caballero (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Molecular Therapy (2 papers)Nature Reviews Molecular Cell Biology (2 papers)Scientific Reports (1 paper)Vaccine (1 paper)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
María Vera
34 papers receiving 1.4k citations
María Vera's Hit Papers
Peers
Comparison fields: 5 of 98
- Aging 37
- Immunology 332
- Nephrology 107
- Molecular Biology 937
- Hematology 111
Countries citing papers authored by María Vera
This map shows the geographic impact of María Vera'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 María Vera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Vera more than expected).
Fields of papers citing papers by María Vera
This network shows the impact of papers produced by María Vera. 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 María Vera. The network helps show where María Vera may publish in the future.
Co-authors
The 25 scholars most cited alongside María Vera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 240 | |
| 2 | 2017 | 226 | |
| 3 | Intracellular mRNA transport and localized translation Hit paper breakdown → | 2021 | 204 |
| 4 | 2014 | 131 | |
| 5 | 2022 | 97 | |
| 6 | 2016 | 86 | |
| 7 | 2020 | 50 | |
| 8 | 2008 | 44 | |
| 9 | 2006 | 42 | |
| 10 | 2004 | 38 | |
| 11 | 2005 | 24 | |
| 12 | 2013 | 23 | |
| 13 | 2006 | 21 | |
| 14 | 2009 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2018 | 20 | |
| 17 | 2006 | 16 | |
| 18 | 2015 | 15 | |
| 19 | 2004 | 15 | |
| 20 | 2004 | 14 |
About María Vera
María Vera is a scholar working on Molecular Biology, Immunology, Genetics, Epidemiology and Cell Biology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), RNA and protein synthesis mechanisms (10 papers), Heat shock proteins research (7 papers), RNA modifications and cancer (5 papers), Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (4 papers), Genomics and Chromatin Dynamics (3 papers) and Liver physiology and pathology (3 papers). The work is most often cited by research in Aging (37 citations), Immunology (332 citations), Nephrology (107 citations), Molecular Biology (937 citations) and Hematology (111 citations). María Vera has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Robert H. Singer, Evelina Tutucci, Jeetayu Biswas, Sulagna Das, Valentina Gandin, Jennifer F. Garcia, Roy Parker, David Pérez-Caballero, Santiago Rodrı́guez de Córdoba and M. Esther Gallardo. Their work appears in journals such as Nucleic Acids Research, Molecular Therapy, Nature Reviews Molecular Cell Biology, Scientific Reports and Vaccine.
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.