Germán Bonilla‐Rosso
- Ecology top 5%
- Insect Science top 2%
- Molecular Biology
- Plant Science top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Philipp EngelSara HallinChristopher M. JonesValeria SouzaLuis E. EguiarteBrian KimMariana PeimbertMario Noti
- Topics
- Microbial Community Ecology and Physiology (14 papers)Genomics and Phylogenetic Studies (8 papers)Protist diversity and phylogeny (6 papers)
- Cited by
- Insect ScienceEndocrinologyPollution
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- SwitzerlandMexicoSweden
In The Last Decade
Germán Bonilla‐Rosso
25 papers receiving 990 citations
Peers
Comparison fields: 5 of 105
- Ecology 302
- Insect Science 274
- Molecular Biology 254
- Plant Science 244
- Ecology, Evolution, Behavior and Systematics 226
Countries citing papers authored by Germán Bonilla‐Rosso
This map shows the geographic impact of Germán Bonilla‐Rosso'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 Germán Bonilla‐Rosso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germán Bonilla‐Rosso more than expected).
Fields of papers citing papers by Germán Bonilla‐Rosso
This network shows the impact of papers produced by Germán Bonilla‐Rosso. 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 Germán Bonilla‐Rosso. The network helps show where Germán Bonilla‐Rosso may publish in the future.
Co-authorship network of co-authors of Germán Bonilla‐Rosso
This figure shows the co-authorship network connecting the top 25 collaborators of Germán Bonilla‐Rosso. A scholar is included among the top collaborators of Germán Bonilla‐Rosso 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 Germán Bonilla‐Rosso. Germán Bonilla‐Rosso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 9 | |
| 4 | 21 | |
| 5 | 1 | |
| 6 | 39 | |
| 7 | 22 | |
| 8 | 49 | |
| 9 | 40 | |
| 10 | 102 | |
| 11 | 156 | |
| 12 | 35 | |
| 13 | 162 | |
| 14 | Comparación de tres métodos moleculares para el análisis de procariontes ambientales en el mar del canal de Yucatán, México | 1 |
| 15 | 7 | |
| 16 | 10 | |
| 17 | 54 | |
| 18 | 40 | |
| 19 | 46 | |
| 20 | METAGENÓMICA, GENÓMICA Y ECOLOGÍA MOLECULAR: LA NUEVA ECOLOGÍA EN EL BICENTENARIO DE DARWIN | 3 |
About Germán Bonilla‐Rosso
Germán Bonilla‐Rosso is a scholar working on Ecology, Insect Science and Pollution, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (14 papers), Genomics and Phylogenetic Studies (8 papers) and Protist diversity and phylogeny (6 papers). The work is most often cited by research in Insect Science (274 citations), Endocrinology (77 citations) and Pollution (138 citations). Germán Bonilla‐Rosso has collaborated with scholars based in Switzerland, Mexico and Sweden. Frequent co-authors include Philipp Engel, Sara Hallin, Christopher M. Jones, Valeria Souza, Luis E. Eguiarte, Brian Kim, Mariana Peimbert, Mario Noti, Gabriela Olmedo‐Álvarez and Luis David Alcaraz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.