Gwenaël Badis
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 12
- RNA Research and Splicing 11
- RNA modifications and cancer 7
- Genomics and Chromatin Dynamics 7
- Fungal and yeast genetics research 3
- Glycosylation and Glycoproteins Research 1
- Machine Learning in Bioinformatics 1
- Aging top 10%
- Cancer Research top 10%
- Genetics top 10%
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- Biofuel production and bioconversion 1
- Co-authors
- Alain JacquierTimothy R. HughesShaheynoor TalukderAndrew R. GehrkeMartha L. BulykAnthony PhilippakisQuaid MorrisEsther T. Chan
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Gwenaël Badis
17 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 2.7k
- Aging 33
- Cancer Research 270
- Genetics 291
- Immunology 146
Countries citing papers authored by Gwenaël Badis
This map shows the geographic impact of Gwenaël Badis'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 Gwenaël Badis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gwenaël Badis more than expected).
Fields of papers citing papers by Gwenaël Badis
This network shows the impact of papers produced by Gwenaël Badis. 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 Gwenaël Badis. The network helps show where Gwenaël Badis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gwenaël Badis, 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2018 | 35 | |
| 5 | 2013 | 23 | |
| 6 | 2010 | 2 | |
| 7 | 2010 | 433 | |
| 8 | Diversity and Complexity in DNA Recognition by Transcription Factorsbreakdown → | 2009 | 761 |
| 9 | 2009 | 150 | |
| 10 | 2008 | 487 | |
| 11 | 2008 | 27 | |
| 12 | 2008 | 24 | |
| 13 | 2007 | 74 | |
| 14 | Cryptic Pol II Transcripts Are Degraded by a Nuclear Quality Control Pathway Involving a New Poly(A) Polymerasebreakdown → | 2005 | 693 |
| 15 | 2005 | 46 | |
| 16 | 2004 | 34 | |
| 17 | 2004 | 129 | |
| 18 | 2003 | 60 |
About Gwenaël Badis
Gwenaël Badis is a scholar working on Molecular Biology, Immunology and Allergy and Spectroscopy, having authored 18 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), RNA Research and Splicing (11 papers), RNA modifications and cancer (7 papers), Genomics and Chromatin Dynamics (7 papers), Fungal and yeast genetics research (3 papers), Glycosylation and Glycoproteins Research (1 paper), Machine Learning in Bioinformatics (1 paper) and Biofuel production and bioconversion (1 paper). The work is most often cited by research in Molecular Biology (2.7k citations), Aging (33 citations) and Cancer Research (270 citations). Gwenaël Badis has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Alain Jacquier, Timothy R. Hughes, Shaheynoor Talukder, Andrew R. Gehrke, Martha L. Bulyk, Anthony Philippakis, Quaid Morris, Esther T. Chan, Daniel E. Newburger and Savina Jaeger. Their work appears in journals such as Nucleic Acids Research, The EMBO Journal, RNA, Genome biology 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.