Michael Tellier
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
Papers in
-
- RNA modifications and cancer 17
- RNA Research and Splicing 16
- Genomics and Chromatin Dynamics 10
- Epigenetics and DNA Methylation 5
- RNA and protein synthesis mechanisms 5
- CRISPR and Genetic Engineering 4
- Advanced biosensing and bioanalysis techniques 3
- Co-authors
- Shona Murphy (22 shared papers)K Wood (1 shared paper)Ronald Chalmers (6 shared papers)Takayuki Nojima (6 shared papers)Nicholas Proudfoot (3 shared papers)Corentin Claeys Bouuaert (2 shared papers)I. Maudlin (1 shared paper)Claudia Ribeiro de Almeida (1 shared paper)
- Journals
- Cell Reports (3 papers)Molecular Cell (3 papers)Nucleic Acids Research (3 papers)Biomolecules (2 papers)Transcription (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Michael Tellier
37 papers receiving 976 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 821
- Aging 14
- Cancer Research 89
- Immunology 118
- Oncology 125
Countries citing papers authored by Michael Tellier
This map shows the geographic impact of Michael Tellier'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 Michael Tellier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tellier more than expected).
Fields of papers citing papers by Michael Tellier
This network shows the impact of papers produced by Michael Tellier. 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 Michael Tellier. The network helps show where Michael Tellier may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Tellier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 141 | |
| 2 | 2018 | 134 | |
| 3 | 2021 | 71 | |
| 4 | 2018 | 71 | |
| 5 | 2020 | 66 | |
| 6 | 2020 | 59 | |
| 7 | 2022 | 54 | |
| 8 | 2015 | 54 | |
| 9 | 2017 | 36 | |
| 10 | 2023 | 36 | |
| 11 | 2017 | 36 | |
| 12 | 2021 | 26 | |
| 13 | 2022 | 25 | |
| 14 | 2018 | 23 | |
| 15 | 2015 | 18 | |
| 16 | 2020 | 15 | |
| 17 | 2019 | 12 | |
| 18 | Mechanism(s) of FIV vaccine protection. | 1997 | 10 |
| 19 | 2018 | 9 | |
| 20 | 2014 | 9 |
About Michael Tellier
Michael Tellier is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Epidemiology and Genetics, having authored 37 papers that have together received 981 indexed citations. Recurring topics across this work include RNA modifications and cancer (17 papers), RNA Research and Splicing (16 papers), Genomics and Chromatin Dynamics (10 papers), Epigenetics and DNA Methylation (5 papers), RNA and protein synthesis mechanisms (5 papers), CRISPR and Genetic Engineering (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Molecular Biology (821 citations), Aging (14 citations), Cancer Research (89 citations), Immunology (118 citations) and Oncology (125 citations). Michael Tellier has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Shona Murphy, K Wood, Ronald Chalmers, Takayuki Nojima, Nicholas Proudfoot, Corentin Claeys Bouuaert, I. Maudlin, Claudia Ribeiro de Almeida, Sylvain Egloff and Ashish Dhir. Their work appears in journals such as Cell Reports, Molecular Cell, Nucleic Acids Research, Biomolecules and Transcription.
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.