Rafael Pinilla‐Redondo
- Molecular Biology top 10%
- Ecology top 5%
- Genetics top 10%
- Endocrinology top 5%
- Molecular Medicine top 5%
- Co-authors
- Søren J. SørensenDavid Mayo-MuñozJoseph Bondy‐DenomyJakob RusselShiraz A. ShahNicole D. MarinoPeter C. FineranBálint Csörgő
- Topics
- CRISPR and Genetic Engineering (14 papers)Bacteriophages and microbial interactions (8 papers)Insect symbiosis and bacterial influences (7 papers)
- Journals
- NatureScienceNucleic Acids Research
- Partner nations
- DenmarkUnited StatesNew Zealand
In The Last Decade
Rafael Pinilla‐Redondo
22 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Molecular Biology 878
- Ecology 434
- Genetics 178
- Endocrinology 143
- Molecular Medicine 139
Countries citing papers authored by Rafael Pinilla‐Redondo
This map shows the geographic impact of Rafael Pinilla‐Redondo'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 Rafael Pinilla‐Redondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Pinilla‐Redondo more than expected).
Fields of papers citing papers by Rafael Pinilla‐Redondo
This network shows the impact of papers produced by Rafael Pinilla‐Redondo. 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 Rafael Pinilla‐Redondo. The network helps show where Rafael Pinilla‐Redondo may publish in the future.
Co-authorship network of co-authors of Rafael Pinilla‐Redondo
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Pinilla‐Redondo. A scholar is included among the top collaborators of Rafael Pinilla‐Redondo 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 Rafael Pinilla‐Redondo. Rafael Pinilla‐Redondo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Inhibitors of bacterial immune systems: discovery, mechanisms and applicationsbreakdown → | 49 |
| 3 | 3 | |
| 4 | 26 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 43 | |
| 9 | 60 | |
| 10 | 22 | |
| 11 | 51 | |
| 12 | 61 | |
| 13 | 29 | |
| 14 | 105 | |
| 15 | 79 | |
| 16 | 170 | |
| 17 | 173 | |
| 18 | 146 | |
| 19 | 48 | |
| 20 | 16 |
About Rafael Pinilla‐Redondo
Rafael Pinilla‐Redondo is a scholar working on Business and International Management, Molecular Medicine and Insect Science, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (14 papers), Bacteriophages and microbial interactions (8 papers) and Insect symbiosis and bacterial influences (7 papers). The work is most often cited by research in Business and International Management (77 citations), Molecular Medicine (139 citations) and Endocrinology (143 citations). Rafael Pinilla‐Redondo has collaborated with scholars based in Denmark, United States and New Zealand. Frequent co-authors include Søren J. Sørensen, David Mayo-Muñoz, Joseph Bondy‐Denomy, Jakob Russel, Shiraz A. Shah, Nicole D. Marino, Peter C. Fineran, Bálint Csörgő, Roger A. Garrett and Nils Birkholz. Their work appears in journals such as Nature, Science and Nucleic Acids Research.
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.