David M. Granas
Impact in
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- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Protist diversity and phylogeny
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Photosynthetic Processes and Mechanisms
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- Genetic and Kidney Cyst Diseases
Papers in
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- Retinal Development and Disorders 4
- RNA and protein synthesis mechanisms 4
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 3
- Protist diversity and phylogeny 2
- RNA modifications and cancer 2
- Co-authors
- Gary D. Stormo (5 shared papers)Yue Zhao (1 shared paper)Barak A. Cohen (7 shared papers)Huawen Lin (2 shared papers)Susan K. Dutcher (2 shared papers)Basab Roy (2 shared papers)Michael A. White (7 shared papers)Zheng Zuo (1 shared paper)
- Journals
- eLife (2 papers)Genome Research (2 papers)G3 Genes Genomes Genetics (1 paper)PLoS Computational Biology (1 paper)Cell Systems (1 paper)
- Partner nations
- United States
In The Last Decade
David M. Granas
12 papers receiving 443 citations
Peers
Comparison fields: 5 of 45
- Molecular Biology 392
- Genetics 94
- Aging 5
- Cell Biology 34
- Biophysics 8
Countries citing papers authored by David M. Granas
This map shows the geographic impact of David M. Granas'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 David M. Granas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Granas more than expected).
Fields of papers citing papers by David M. Granas
This network shows the impact of papers produced by David M. Granas. 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 David M. Granas. The network helps show where David M. Granas may publish in the future.
Co-authors
The 23 scholars most cited alongside David M. Granas, 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 | 2009 | 166 | |
| 2 | 2017 | 57 | |
| 3 | 2020 | 53 | |
| 4 | 2013 | 48 | |
| 5 | 2023 | 41 | |
| 6 | 2013 | 38 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 10 | |
| 9 | 2024 | 10 | |
| 10 | 2025 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 0 |
About David M. Granas
David M. Granas is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Biophysics and Renewable Energy, Sustainability and the Environment, having authored 13 papers that have together received 448 indexed citations. Recurring topics across this work include Retinal Development and Disorders (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers), Algal biology and biofuel production (2 papers), Protist diversity and phylogeny (2 papers), RNA modifications and cancer (2 papers) and Retinal Diseases and Treatments (1 paper). The work is most often cited by research in Molecular Biology (392 citations), Genetics (94 citations), Aging (5 citations), Cell Biology (34 citations) and Biophysics (8 citations). David M. Granas has collaborated with scholars based in United States. Frequent co-authors include Gary D. Stormo, Yue Zhao, Barak A. Cohen, Huawen Lin, Susan K. Dutcher, Basab Roy, Michael A. White, Zheng Zuo, Yiming Chang and Michelle L. Miller. Their work appears in journals such as eLife, Genome Research, G3 Genes Genomes Genetics, PLoS Computational Biology and Cell Systems.
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.