Rosa E. Navarro
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- RNA Research and Splicing 6
- Fungal and yeast genetics research 5
- CRISPR and Genetic Engineering 3
- DNA Repair Mechanisms 2
- Aging 15
- Genetics, Aging, and Longevity in Model Organisms 15
- Co-authors
- Jesús Aguirre (4 shared papers)Wilhelm Hansberg (3 shared papers)Ernesto Maldonado (9 shared papers)T. Keith Blackwell (3 shared papers)Mary A. Stringer (2 shared papers)William E. Timberlake (2 shared papers)Andrew Singson (1 shared paper)Eun Yong Shim (1 shared paper)
- Journals
- PLoS ONE (6 papers)genesis (4 papers)Frontiers in Cell and Developmental Biology (2 papers)Current Genetics (2 papers)Pharmaceutics (1 paper)
- Partner nations
- MexicoUnited StatesSpain
In The Last Decade
Rosa E. Navarro
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Aging 274
- Endocrine and Autonomic Systems 74
- Molecular Biology 647
- Pharmacology 122
- Cell Biology 124
Countries citing papers authored by Rosa E. Navarro
This map shows the geographic impact of Rosa E. Navarro'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 Rosa E. Navarro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa E. Navarro more than expected).
Fields of papers citing papers by Rosa E. Navarro
This network shows the impact of papers produced by Rosa E. Navarro. 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 Rosa E. Navarro. The network helps show where Rosa E. Navarro may publish in the future.
Co-authors
The 25 scholars most cited alongside Rosa E. Navarro, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 145 | |
| 2 | 2006 | 119 | |
| 3 | 1996 | 110 | |
| 4 | 2006 | 96 | |
| 5 | 1996 | 74 | |
| 6 | 1998 | 63 | |
| 7 | 2018 | 52 | |
| 8 | 2021 | 50 | |
| 9 | 2006 | 44 | |
| 10 | 1998 | 43 | |
| 11 | 2016 | 37 | |
| 12 | 2012 | 30 | |
| 13 | 2011 | 28 | |
| 14 | 2007 | 27 | |
| 15 | 2005 | 24 | |
| 16 | 2017 | 22 | |
| 17 | 1992 | 22 | |
| 18 | 2014 | 19 | |
| 19 | 2008 | 15 | |
| 20 | 2018 | 14 |
About Rosa E. Navarro
Rosa E. Navarro is a scholar working on Molecular Biology, Aging, Plant Science, Endocrine and Autonomic Systems and Pharmacology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (15 papers), RNA Research and Splicing (6 papers), Fungal and yeast genetics research (5 papers), Circadian rhythm and melatonin (5 papers), Mycotoxins in Agriculture and Food (4 papers), Fungal Biology and Applications (4 papers), CRISPR and Genetic Engineering (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Aging (274 citations), Endocrine and Autonomic Systems (74 citations), Molecular Biology (647 citations), Pharmacology (122 citations) and Cell Biology (124 citations). Rosa E. Navarro has collaborated with scholars based in Mexico, United States and Spain. Frequent co-authors include Jesús Aguirre, Wilhelm Hansberg, Ernesto Maldonado, T. Keith Blackwell, Mary A. Stringer, William E. Timberlake, Andrew Singson, Eun Yong Shim, Yuji Kohara and Óscar J. Mesa. Their work appears in journals such as PLoS ONE, genesis, Frontiers in Cell and Developmental Biology, Current Genetics and Pharmaceutics.
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.