Tomàs Marquès‐Bonet
- Genetics top 0.2%
- Genetic diversity and population structure 32
- Genomic variations and chromosomal abnormalities 26
- Forensic and Genetic Research 11
- Genetic and phenotypic traits in livestock 11
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 36
- Paleontology top 5%
- Plant Science top 2%
- Chromosomal and Genetic Variations 39
- Developmental Biology top 5%
-
- Primate Behavior and Ecology 20
-
- Wildlife Ecology and Conservation 12
- Co-authors
- Evan E. EichlerArcadi NavarroJeffrey M. KiddIrene Hernando-HerraezFrancesca AntonacciMario VenturaAndrew J. SharpCan Alkan
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Tomàs Marquès‐Bonet
142 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Genetics 3.3k
- Molecular Biology 3.5k
- Paleontology 295
- Plant Science 1.3k
- Developmental Biology 64
Countries citing papers authored by Tomàs Marquès‐Bonet
This map shows the geographic impact of Tomàs Marquès‐Bonet'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 Tomàs Marquès‐Bonet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomàs Marquès‐Bonet more than expected).
Fields of papers citing papers by Tomàs Marquès‐Bonet
This network shows the impact of papers produced by Tomàs Marquès‐Bonet. 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 Tomàs Marquès‐Bonet. The network helps show where Tomàs Marquès‐Bonet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomàs Marquès‐Bonet, 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 | 2023 | 6 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 12 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 30 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2019 | 68 | |
| 12 | 2019 | 31 | |
| 13 | 2018 | 232 | |
| 14 | Comparative performance of the BGISEQ-500 vs Illumina HiSeq2500 sequencing platforms for palaeogenomic sequencingbreakdown → | 2017 | 248 |
| 15 | 2017 | 26 | |
| 16 | 2017 | 20 | |
| 17 | 2015 | 28 | |
| 18 | 2013 | 10 | |
| 19 | 2013 | 12 | |
| 20 | 2009 | 94 |
About Tomàs Marquès‐Bonet
Tomàs Marquès‐Bonet is a scholar working on Genetics, Paleontology and Chemical Health and Safety, having authored 144 papers that have together received 6.3k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (39 papers), Genomics and Phylogenetic Studies (36 papers), Genetic diversity and population structure (32 papers), Genomic variations and chromosomal abnormalities (26 papers), Primate Behavior and Ecology (20 papers), Wildlife Ecology and Conservation (12 papers), Forensic and Genetic Research (11 papers) and Genetic and phenotypic traits in livestock (11 papers). The work is most often cited by research in Genetics (3.3k citations), Molecular Biology (3.5k citations) and Paleontology (295 citations). Tomàs Marquès‐Bonet has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Evan E. Eichler, Arcadi Navarro, Jeffrey M. Kidd, Irene Hernando-Herraez, Francesca Antonacci, Mario Ventura, Andrew J. Sharp, Can Alkan, Carl Baker and Maika Malig. Their work appears in journals such as Nature, Science and Cell.
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.