Mario Párraga
- Co-authors
- Andrew F. G. QuestLisette LeytonJesús del MazoLuis A. López‐FernándezEva MadridJuan G. ReyesJorge G. FaríasRicardo D. Moreno
- Topics
- Sperm and Testicular Function (9 papers)Reproductive Biology and Fertility (5 papers)RNA Interference and Gene Delivery (3 papers)
- Journals
- Journal of Molecular BiologyJournal of VirologyBiochemical and Biophysical Research Communications
- Partner nations
- ChileSpainUnited States
In The Last Decade
Mario Párraga
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 607
- Cell Biology 246
- Reproductive Medicine 166
- Cancer Research 145
- Genetics 133
Countries citing papers authored by Mario Párraga
This map shows the geographic impact of Mario Párraga'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 Mario Párraga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Párraga more than expected).
Fields of papers citing papers by Mario Párraga
This network shows the impact of papers produced by Mario Párraga. 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 Mario Párraga. The network helps show where Mario Párraga may publish in the future.
Co-authorship network of co-authors of Mario Párraga
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Párraga. A scholar is included among the top collaborators of Mario Párraga 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 Mario Párraga. Mario Párraga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 23 | |
| 4 | Equol and daidzein decrease migration, invasion and matrix metalloproteinase (MMPs) gene expression in prostate cancer cell lines, DU-145 and PC-3 | 4 |
| 5 | 25 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 14 | |
| 9 | 16 | |
| 10 | 187 | |
| 11 | 10 | |
| 12 | 15 | |
| 13 | Cuantificación de la expresión génica a partir de un número limitado de células mediante RT-PCR en tiempo real | 2 |
| 14 | 19 | |
| 15 | 32 | |
| 16 | 29 | |
| 17 | 9 | |
| 18 | 28 | |
| 19 | 4 | |
| 20 | Botanica, taxonomia e especies cultivadas de batata | 1 |
About Mario Párraga
Mario Párraga is a scholar working on Reproductive Medicine, Applied Microbiology and Biotechnology and Cell Biology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sperm and Testicular Function (9 papers), Reproductive Biology and Fertility (5 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Reproductive Medicine (166 citations), Cell Biology (246 citations) and Cancer Research (145 citations). Mario Párraga has collaborated with scholars based in Chile, Spain and United States. Frequent co-authors include Andrew F. G. Quest, Lisette Leyton, Jesús del Mazo, Luis A. López‐Fernández, Eva Madrid, Juan G. Reyes, Jorge G. Farías, Ricardo D. Moreno, Andrea Zepeda and António Bernad. Their work appears in journals such as Journal of Molecular Biology, Journal of Virology and Biochemical and Biophysical Research Communications.
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.