Dylan Girodat
Impact in
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- Bacterial Genetics and Biotechnology
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
Papers in
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- RNA and protein synthesis mechanisms 13
- RNA modifications and cancer 8
- RNA Research and Splicing 6
- Advanced biosensing and bioanalysis techniques 2
- Protein Structure and Dynamics 2
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Hans‐Joachim Wieden (11 shared papers)Ben F. Luisi (1 shared paper)Richard Reinhardt (1 shared paper)Yanjie Chao (1 shared paper)Colin P. Corcoran (1 shared paper)Michał Śmiga (1 shared paper)Kai Papenfort (1 shared paper)Lei Li (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Nature Communications (2 papers)Nucleic Acids Research (2 papers)Scientific Reports (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Dylan Girodat
13 papers receiving 421 citations
Peers
Comparison fields: 5 of 56
- Genetics 152
- Molecular Biology 361
- Ecology 105
- Endocrinology 21
- Structural Biology 5
Countries citing papers authored by Dylan Girodat
This map shows the geographic impact of Dylan Girodat'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 Dylan Girodat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan Girodat more than expected).
Fields of papers citing papers by Dylan Girodat
This network shows the impact of papers produced by Dylan Girodat. 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 Dylan Girodat. The network helps show where Dylan Girodat may publish in the future.
Co-authors
The 25 scholars most cited alongside Dylan Girodat, 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 | 2017 | 210 | |
| 2 | 2020 | 74 | |
| 3 | 2020 | 37 | |
| 4 | 2018 | 27 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 14 | |
| 7 | 2015 | 13 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2017 | 5 | |
| 11 | 2019 | 5 | |
| 12 | 2021 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 |
About Dylan Girodat
Dylan Girodat is a scholar working on Molecular Biology, Genetics, Ecology, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 424 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (8 papers), Bacterial Genetics and Biotechnology (6 papers), RNA Research and Splicing (6 papers), Advanced biosensing and bioanalysis techniques (2 papers), Protein Structure and Dynamics (2 papers), Bacteriophages and microbial interactions (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Genetics (152 citations), Molecular Biology (361 citations), Ecology (105 citations), Endocrinology (21 citations) and Structural Biology (5 citations). Dylan Girodat has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Hans‐Joachim Wieden, Ben F. Luisi, Richard Reinhardt, Yanjie Chao, Colin P. Corcoran, Michał Śmiga, Kai Papenfort, Lei Li, Nelly Said and Konrad U. Förstner. Their work appears in journals such as PLoS Computational Biology, Nature Communications, Nucleic Acids Research, Scientific Reports and Journal of the American Chemical Society.
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.