Lorena Pantano
Impact in
- Aging top 5%
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 7
- RNA Research and Splicing 5
- CRISPR and Genetic Engineering 4
- Genomics and Phylogenetic Studies 3
-
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 7
- Co-authors
- Xavier Estivill (10 shared papers)Eulàlia Martı́ (9 shared papers)Isidró Ferrer (4 shared papers)Mónica Báñez-Coronel (3 shared papers)Sílvia Porta (2 shared papers)Franc Llorens (4 shared papers)Lauro Sumoy (2 shared papers)Tanya Vavouri (2 shared papers)
- Journals
- BMC Genomics (3 papers)Nucleic Acids Research (3 papers)Scientific Reports (2 papers)Nature Communications (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Lorena Pantano
36 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 120
- Aging 73
- Cancer Research 604
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 222
- Genetics 332
Countries citing papers authored by Lorena Pantano
This map shows the geographic impact of Lorena Pantano'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 Lorena Pantano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena Pantano more than expected).
Fields of papers citing papers by Lorena Pantano
This network shows the impact of papers produced by Lorena Pantano. 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 Lorena Pantano. The network helps show where Lorena Pantano may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorena Pantano, 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 | 2014 | 283 | |
| 2 | 2010 | 238 | |
| 3 | 2020 | 157 | |
| 4 | 2012 | 147 | |
| 5 | 2009 | 141 | |
| 6 | 2006 | 113 | |
| 7 | 2018 | 97 | |
| 8 | 2013 | 81 | |
| 9 | 2015 | 72 | |
| 10 | 2018 | 57 | |
| 11 | 2021 | 55 | |
| 12 | 2008 | 49 | |
| 13 | 2020 | 47 | |
| 14 | 2011 | 40 | |
| 15 | 2019 | 37 | |
| 16 | 2019 | 31 | |
| 17 | 2013 | 31 | |
| 18 | 2009 | 29 | |
| 19 | 2015 | 27 | |
| 20 | 2013 | 26 |
About Lorena Pantano
Lorena Pantano is a scholar working on Molecular Biology, Cancer Research, Genetics, Plant Science and Cell Biology, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (7 papers), Genomic variations and chromosomal abnormalities (6 papers), RNA Research and Splicing (5 papers), Chromosomal and Genetic Variations (5 papers), CRISPR and Genetic Engineering (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Aging (73 citations), Cancer Research (604 citations), Molecular Biology (1.4k citations), Cellular and Molecular Neuroscience (222 citations) and Genetics (332 citations). Lorena Pantano has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Xavier Estivill, Eulàlia Martı́, Isidró Ferrer, Mónica Báñez-Coronel, Sílvia Porta, Franc Llorens, Lauro Sumoy, Tanya Vavouri, Manuel Guzmán and Birgit Kagerbauer. Their work appears in journals such as BMC Genomics, Nucleic Acids Research, Scientific Reports, Nature Communications and PLoS Genetics.
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.