Guillaume Marçais
- Molecular Biology top 1%
- Plant Science top 0.5%
- Genetics top 0.5%
- Ecology top 2%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Carl KingsfordAleksey V. ZiminSteven L. SalzbergJames A. YorkeArthur L. DelcherDaniela PuiuMichael RobertsAdam M. Phillippy
- Topics
- Genomics and Phylogenetic Studies (17 papers)Algorithms and Data Compression (10 papers)RNA and protein synthesis mechanisms (8 papers)
- Journals
- BioinformaticsPLoS ONEGenetics
- Partner nations
- United StatesIsraelCosta Rica
In The Last Decade
Guillaume Marçais
26 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 4.5k
- Plant Science 2.6k
- Genetics 2.0k
- Ecology 1.1k
- Ecology, Evolution, Behavior and Systematics 535
Countries citing papers authored by Guillaume Marçais
This map shows the geographic impact of Guillaume Marçais'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 Guillaume Marçais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Marçais more than expected).
Fields of papers citing papers by Guillaume Marçais
This network shows the impact of papers produced by Guillaume Marçais. 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 Guillaume Marçais. The network helps show where Guillaume Marçais may publish in the future.
Co-authorship network of co-authors of Guillaume Marçais
This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Marçais. A scholar is included among the top collaborators of Guillaume Marçais 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 Guillaume Marçais. Guillaume Marçais 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 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 30 | |
| 8 | 8 | |
| 9 | 39 | |
| 10 | 33 | |
| 11 | MUMmer4: A fast and versatile genome alignment systembreakdown → | 1331 |
| 12 | 43 | |
| 13 | 274 | |
| 14 | 29 | |
| 15 | 126 | |
| 16 | GAGE: A critical evaluation of genome assemblies and assembly algorithms (Genome Research (2012) 22 (557-567)) | 3 |
| 17 | 20 | |
| 18 | A fast, lock-free approach for efficient parallel counting of occurrences of k -mersbreakdown → | 2756 |
| 19 | GAGE: A critical evaluation of genome assemblies and assembly algorithmsbreakdown → | 471 |
| 20 | A whole-genome assembly of the domestic cow, Bos taurusbreakdown → | 888 |
About Guillaume Marçais
Guillaume Marçais is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design and Molecular Biology, having authored 27 papers that have together received 7.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), Algorithms and Data Compression (10 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Genetics (2.0k citations), Plant Science (2.6k citations) and Molecular Biology (4.5k citations). Guillaume Marçais has collaborated with scholars based in United States, Israel and Costa Rica. Frequent co-authors include Carl Kingsford, Aleksey V. Zimin, Steven L. Salzberg, James A. Yorke, Arthur L. Delcher, Daniela Puiu, Michael Roberts, Adam M. Phillippy, Michael C. Schatz and Sergey Koren. Their work appears in journals such as Bioinformatics, PLoS ONE and Genetics.
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.