Mónica Muñoz-Torres
Impact in
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
Papers in
-
- Biomedical Text Mining and Ontologies 6
- Genomics and Phylogenetic Studies 5
- Genetics, Bioinformatics, and Biomedical Research 4
- Bioinformatics and Genomic Networks 2
- Genetics 4
- Genomics and Rare Diseases 2
- Co-authors
- Christine G. Elsik (4 shared papers)Ian Holmes (3 shared papers)Suzanna Lewis (3 shared papers)Lincoln Stein (2 shared papers)Gregg Helt (2 shared papers)Robert Buels (2 shared papers)Colin Diesh (3 shared papers)Eric Yao (2 shared papers)
- Journals
- PLoS Computational Biology (4 papers)Database (2 papers)Genome biology (2 papers)Insect Molecular Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mónica Muñoz-Torres
19 papers receiving 1.2k citations
Mónica Muñoz-Torres's Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 685
- Plant Science 362
- Insect Science 116
- Genetics 232
- Endocrinology 39
Countries citing papers authored by Mónica Muñoz-Torres
This map shows the geographic impact of Mónica Muñoz-Torres'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 Mónica Muñoz-Torres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Muñoz-Torres more than expected).
Fields of papers citing papers by Mónica Muñoz-Torres
This network shows the impact of papers produced by Mónica Muñoz-Torres. 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 Mónica Muñoz-Torres. The network helps show where Mónica Muñoz-Torres may publish in the future.
Co-authors
The 25 scholars most cited alongside Mónica Muñoz-Torres, 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 | JBrowse: a dynamic web platform for genome visualization and analysis Hit paper breakdown → | 2016 | 515 |
| 2 | 2013 | 230 | |
| 3 | 2019 | 136 | |
| 4 | 2010 | 124 | |
| 5 | 2011 | 70 | |
| 6 | 2020 | 55 | |
| 7 | 2019 | 24 | |
| 8 | 2016 | 22 | |
| 9 | 2017 | 19 | |
| 10 | 2019 | 15 | |
| 11 | 2022 | 8 | |
| 12 | 2019 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2011 | 4 | |
| 15 | 2019 | 3 | |
| 16 | 2009 | 3 | |
| 17 | 2010 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2020 | 2 |
About Mónica Muñoz-Torres
Mónica Muñoz-Torres is a scholar working on Molecular Biology, Genetics, Plant Science, Artificial Intelligence and Information Systems, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Genomics and Phylogenetic Studies (5 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (2 papers), Bioinformatics and Genomic Networks (2 papers), Research Data Management Practices (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Molecular Biology (685 citations), Plant Science (362 citations), Insect Science (116 citations), Genetics (232 citations) and Endocrinology (39 citations). Mónica Muñoz-Torres has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Christine G. Elsik, Ian Holmes, Suzanna Lewis, Lincoln Stein, Gregg Helt, Robert Buels, Colin Diesh, Eric Yao, Richard D. Hayes and David Goodstein. Their work appears in journals such as PLoS Computational Biology, Database, Genome biology, Insect Molecular Biology and PLoS ONE.
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.