Charles M. Nicolet
- Aging top 5%
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics 9
- Fungal and yeast genetics research 9
- DNA Repair Mechanisms 7
- Heat shock proteins research 7
- Epigenetics and DNA Methylation 6
- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 4
- Molecular Biology Techniques and Applications 4
- Genetics top 5%
- Cell Biology top 5%
- Co-authors
- Elizabeth A. CraigMargaret Werner‐WashburneThomas ZiegelhofferPeggy FarnhamJan DvořákEduard AkhunovHenriette O’GeenBenjamin P. Berman
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (4 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Charles M. Nicolet
40 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 113
- Aging 55
- Molecular Biology 2.1k
- Physical and Theoretical Chemistry 146
- Genetics 434
- Cell Biology 249
Countries citing papers authored by Charles M. Nicolet
This map shows the geographic impact of Charles M. Nicolet'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 Charles M. Nicolet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles M. Nicolet more than expected).
Fields of papers citing papers by Charles M. Nicolet
This network shows the impact of papers produced by Charles M. Nicolet. 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 Charles M. Nicolet. The network helps show where Charles M. Nicolet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charles M. Nicolet, 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 | 1 | |
| 2 | 2018 | 213 | |
| 3 | 2017 | 161 | |
| 4 | 2015 | 38 | |
| 5 | The ABRF Next Generation Sequencing Study: Multi-platform and Cross-methodological Reproducibility of Transcriptome Profiling by RNA-seq | 2014 | 3 |
| 6 | GVRG 2012 Research Study Survey: A Current Snapshot of Core Services. | 2012 | 1 |
| 7 | 2011 | 57 | |
| 8 | 2009 | 95 | |
| 9 | 2009 | 17 | |
| 10 | 2009 | 207 | |
| 11 | 2003 | 1 | |
| 12 | 1998 | 3 | |
| 13 | 1997 | 8 | |
| 14 | 1994 | 32 | |
| 15 | 1992 | 445 | |
| 16 | 1991 | 7 | |
| 17 | 1990 | 16 | |
| 18 | 1989 | 61 | |
| 19 | 1987 | 23 | |
| 20 | 1987 | 8 |
About Charles M. Nicolet
Charles M. Nicolet is a scholar working on Molecular Biology, Immunology and Cancer Research, having authored 40 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), Fungal and yeast genetics research (9 papers), DNA Repair Mechanisms (7 papers), Heat shock proteins research (7 papers), Epigenetics and DNA Methylation (6 papers), Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (4 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Aging (55 citations), Molecular Biology (2.1k citations) and Physical and Theoretical Chemistry (146 citations). Charles M. Nicolet has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Elizabeth A. Craig, Margaret Werner‐Washburne, Thomas Ziegelhoffer, Peggy Farnham, Jan Dvořák, Eduard Akhunov, Henriette O’Geen, Benjamin P. Berman, Donna M. Paulnock and E C Friedberg. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.