Manuel Gil

2.6k citations
12 papers · 1.7k indexed · 1 hit paper · h-index 8

Impact in

Papers in

    • Genetic diversity and population structure 8
    • Evolution and Paleontology Studies 2

Manuel Gil

12 papers receiving 1.7k citations

Hit Papers

Survey of Branch Support Methods Demonstrates Accuracy, Power, and Robustness of Fast Likelihood-based Approximation Schemes 2011 · 874 citations
8742011202620162021250500750

Peers

Manuel Gil
Comparison fields: 5 of 121
  • Paleontology 145
  • Plant Science 545
  • Ecology, Evolution, Behavior and Systematics 258
  • Ecology 328
  • Genetics 335
Replace David Kainer with:
David Kainer United States
Christian M. Zmasek United States
Darrin T. Schultz United States
Yuanning Li United States
Sofia Robb United States
Cecilia Lanave Italy
Sonja J. Prohaska Germany
François Serra Spain
Regula Rupp Germany
Jacob L. Steenwyk United States
Manuel Gil relative to David Kainer United States David Kainer's profile →
Citations per field
00.5×1.7×
David Kainer · 1×
Citations per year

Countries citing papers authored by Manuel Gil

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Manuel Gil Line = papers co-authored together Manuel Gil links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20244
2 20227
3 201819
4 2015191
5 20141
6 201374
7 201397
8 201228
9
Survey of Branch Support Methods Demonstrates Accuracy, Power, and Robustness of Fast Likelihood-based Approximation Schemes
Hit paper breakdown →
2011874
10 201097
11 2008294
12 20083

About Manuel Gil

Manuel Gil is a scholar working on Genetics, Paleontology, Molecular Biology, Biotechnology and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Genetic diversity and population structure (8 papers), Evolution and Paleontology Studies (2 papers), Gene expression and cancer classification (2 papers), Industrial Automation and Control Systems (1 paper), Robotics and Automated Systems (1 paper), RNA and protein synthesis mechanisms (1 paper) and Robot Manipulation and Learning (1 paper). The work is most often cited by research in Paleontology (145 citations), Plant Science (545 citations), Ecology, Evolution, Behavior and Systematics (258 citations), Ecology (328 citations) and Genetics (335 citations). Manuel Gil has collaborated with scholars based in Switzerland, United Kingdom and Australia. Frequent co-authors include Christophe Dessimoz, Maria Anisimova, Jean-François Dufayard, Olivier Gascuel, Ge Tan, Javier Herrero, Matthieu Muffato, Nick Goldman, Adrian Altenhoff and Gastón H. Gonnet. Their work appears in journals such as Systematic Biology, Molecular Biology and Evolution, BMC Bioinformatics, The Plant Cell and Genome biology.

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.

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