Manuel Gil
Impact in
- Paleontology top 5%
- Evolution and Paleontology Studies
- Plant Science top 5%
- Plant nutrient uptake and metabolism
Papers in
-
- Genomics and Phylogenetic Studies 10
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 1
- Genetics 6
- Genetic diversity and population structure 6
- Co-authors
- Christophe Dessimoz (5 shared papers)Maria Anisimova (6 shared papers)Jean-François Dufayard (1 shared paper)Olivier Gascuel (1 shared paper)Matthieu Muffato (1 shared paper)Christian Ledergerber (1 shared paper)Javier Herrero (1 shared paper)Nick Goldman (1 shared paper)
- Journals
- Systematic Biology (3 papers)Molecular Biology and Evolution (2 papers)The Plant Cell (1 paper)IEEE Technology and Society Magazine (1 paper)Bioinformatics (1 paper)
- Partner nations
- SwitzerlandUnited KingdomAustria
In The Last Decade
Manuel Gil
14 papers receiving 1.7k citations
Manuel Gil's Hit Papers
Peers
Comparison fields: 5 of 120
- Paleontology 144
- Plant Science 536
- Ecology, Evolution, Behavior and Systematics 258
- Ecology 320
- Molecular Biology 796
Countries citing papers authored by Manuel Gil
This map shows the geographic impact of Manuel Gil'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 Manuel Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Gil more than expected).
Fields of papers citing papers by Manuel Gil
This network shows the impact of papers produced by Manuel Gil. 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 Manuel Gil. The network helps show where Manuel Gil may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuel Gil, 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 | Survey of Branch Support Methods Demonstrates Accuracy, Power, and Robustness of Fast Likelihood-based Approximation Schemes Hit paper breakdown → | 2011 | 910 |
| 2 | 2008 | 304 | |
| 3 | 2015 | 194 | |
| 4 | 2013 | 103 | |
| 5 | 2010 | 101 | |
| 6 | 2013 | 76 | |
| 7 | 2012 | 29 | |
| 8 | 2018 | 20 | |
| 9 | 2022 | 8 | |
| 10 | 2024 | 5 | |
| 11 | 2008 | 3 | |
| 12 | 2009 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2022 | 1 |
About Manuel Gil
Manuel Gil is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Plant Science and Paleontology, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Genetic diversity and population structure (6 papers), Gene expression and cancer classification (2 papers), Chromosomal and Genetic Variations (2 papers), Bayesian Methods and Mixture Models (1 paper), Soil Geostatistics and Mapping (1 paper), Bioinformatics and Genomic Networks (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Paleontology (144 citations), Plant Science (536 citations), Ecology, Evolution, Behavior and Systematics (258 citations), Ecology (320 citations) and Molecular Biology (796 citations). Manuel Gil has collaborated with scholars based in Switzerland, United Kingdom and Austria. Frequent co-authors include Christophe Dessimoz, Maria Anisimova, Jean-François Dufayard, Olivier Gascuel, Matthieu Muffato, Christian Ledergerber, Javier Herrero, Nick Goldman, Ge Tan and Gastón H. Gonnet. Their work appears in journals such as Systematic Biology, Molecular Biology and Evolution, The Plant Cell, IEEE Technology and Society Magazine and Bioinformatics.
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.