Daniel Castro-Roa
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
-
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 4
- RNA Research and Splicing 2
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Yersinia bacterium, plague, ectoparasites research 1
- Co-authors
- Nikolay Zenkin (8 shared papers)Kenn Gerdes (1 shared paper)Elsa Germain (1 shared paper)Remy Loris (2 shared papers)Abel García-Pino (2 shared papers)Nico A. J. van Nuland (1 shared paper)Rob W. van Nues (1 shared paper)Yulia Yuzenkova (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Methods (1 paper)Nature Chemical Biology (1 paper)Molecular Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomBelgiumGermany
In The Last Decade
Daniel Castro-Roa
8 papers receiving 539 citations
Peers
Comparison fields: 5 of 58
- Molecular Medicine 135
- Endocrinology 115
- Genetics 338
- Ecology 174
- Molecular Biology 337
Countries citing papers authored by Daniel Castro-Roa
This map shows the geographic impact of Daniel Castro-Roa'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 Daniel Castro-Roa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Castro-Roa more than expected).
Fields of papers citing papers by Daniel Castro-Roa
This network shows the impact of papers produced by Daniel Castro-Roa. 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 Daniel Castro-Roa. The network helps show where Daniel Castro-Roa may publish in the future.
Co-authors
The 19 scholars most cited alongside Daniel Castro-Roa, 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 | 2013 | 285 | |
| 2 | 2013 | 142 | |
| 3 | 2011 | 31 | |
| 4 | 2018 | 30 | |
| 5 | 2020 | 28 | |
| 6 | 2015 | 14 | |
| 7 | 2015 | 8 | |
| 8 | 2015 | 4 |
About Daniel Castro-Roa
Daniel Castro-Roa is a scholar working on Molecular Biology, Genetics, Ecology, Infectious Diseases and Materials Chemistry, having authored 8 papers that have together received 542 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (6 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (2 papers), Bacteriophages and microbial interactions (2 papers), Enzyme Structure and Function (1 paper), Yersinia bacterium, plague, ectoparasites research (1 paper) and Clostridium difficile and Clostridium perfringens research (1 paper). The work is most often cited by research in Molecular Medicine (135 citations), Endocrinology (115 citations), Genetics (338 citations), Ecology (174 citations) and Molecular Biology (337 citations). Daniel Castro-Roa has collaborated with scholars based in United Kingdom, Belgium and Germany. Frequent co-authors include Nikolay Zenkin, Kenn Gerdes, Elsa Germain, Remy Loris, Abel García-Pino, Nico A. J. van Nuland, Rob W. van Nues, Yulia Yuzenkova, Johan Hofkens and Dukas Jurėnas. Their work appears in journals such as Nucleic Acids Research, Methods, Nature Chemical Biology, Molecular Cell and Proceedings of the National Academy of Sciences.
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.