Nicolas Bertin
Impact in
- Aging top 1%
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Protein Structure and Dynamics
- Fungal and yeast genetics research
- RNA Research and Splicing
- Gene expression and cancer classification
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Co-authors
- Jing‐Dong J. HanMarc VidalDenis DupuyMichael E. CusickDebra S. GoldbergGabriel F. BerrizFrederick P. RothTong Hao
- Journals
- Genome Research (4 papers)Scientific Reports (2 papers)Nature (2 papers)Nature Biotechnology (2 papers)Scientific Data (2 papers)
- Partner nations
- United StatesJapanSingapore
In The Last Decade
Nicolas Bertin
22 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Aging 205
- Molecular Biology 2.6k
- Computational Theory and Mathematics 357
- Statistical and Nonlinear Physics 165
- Cell Biology 209
Countries citing papers authored by Nicolas Bertin
This map shows the geographic impact of Nicolas Bertin'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 Nicolas Bertin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Bertin more than expected).
Fields of papers citing papers by Nicolas Bertin
This network shows the impact of papers produced by Nicolas Bertin. 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 Nicolas Bertin. The network helps show where Nicolas Bertin may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Bertin, 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 | 3 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 22 | |
| 4 | 2020 | 10 | |
| 5 | 2020 | 5 | |
| 6 | 2017 | 11 | |
| 7 | 2017 | 55 | |
| 8 | 2015 | 20 | |
| 9 | 2014 | 42 | |
| 10 | 2014 | 9 | |
| 11 | 2013 | 33 | |
| 12 | 2011 | 48 | |
| 13 | 2011 | 127 | |
| 14 | 2009 | 4 | |
| 15 | 2005 | 223 | |
| 16 | 2005 | 194 | |
| 17 | 2005 | 241 | |
| 18 | Evidence for dynamically organized modularity in the yeast protein–protein interaction network Hit paper breakdown → | 2004 | 1301 |
| 19 | 2004 | 416 | |
| 20 | 2002 | 134 |
About Nicolas Bertin
Nicolas Bertin is a scholar working on Aging, Cancer Research, Molecular Biology, Sensory Systems and Genetics, having authored 23 papers that have together received 3.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Bioinformatics and Genomic Networks (5 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), RNA modifications and cancer (3 papers), Fungal and yeast genetics research (3 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Aging (205 citations), Molecular Biology (2.6k citations), Computational Theory and Mathematics (357 citations), Statistical and Nonlinear Physics (165 citations) and Cell Biology (209 citations). Nicolas Bertin has collaborated with scholars based in United States, Japan and Singapore. Frequent co-authors include Jing‐Dong J. Han, Marc Vidal, Denis Dupuy, Michael E. Cusick, Debra S. Goldberg, Gabriel F. Berriz, Frederick P. Roth, Tong Hao, Albertha J.M. Walhout and Lan V. Zhang. Their work appears in journals such as Genome Research, Scientific Reports, Nature, Nature Biotechnology and Scientific Data.
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.