Sakthi D. Moorthy
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Pluripotent Stem Cells Research
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- Chromosomal and Genetic Variations
Papers in
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- Genomics and Chromatin Dynamics 7
- Pluripotent Stem Cells Research 5
- CRISPR and Genetic Engineering 4
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 1
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- Chromosomal and Genetic Variations 2
- Co-authors
- Jennifer A. Mitchell (9 shared papers)Gurdeep Singh (3 shared papers)Virlana M. Shchuka (4 shared papers)Neil Macpherson (3 shared papers)Lida Langroudi (4 shared papers)Scott Davidson (2 shared papers)Alexandre Martchenko (1 shared paper)Vincent So (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Genome Research (2 papers)Genome (1 paper)Nature Genetics (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Sakthi D. Moorthy
9 papers receiving 295 citations
Peers
Comparison fields: 5 of 32
- Molecular Biology 266
- Plant Science 47
- Genetics 33
- Cancer Research 11
- Immunology 16
Countries citing papers authored by Sakthi D. Moorthy
This map shows the geographic impact of Sakthi D. Moorthy'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 Sakthi D. Moorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakthi D. Moorthy more than expected).
Fields of papers citing papers by Sakthi D. Moorthy
This network shows the impact of papers produced by Sakthi D. Moorthy. 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 Sakthi D. Moorthy. The network helps show where Sakthi D. Moorthy may publish in the future.
Co-authors
The 24 scholars most cited alongside Sakthi D. Moorthy, 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 | 2016 | 140 | |
| 2 | 2023 | 59 | |
| 3 | 2021 | 30 | |
| 4 | 2022 | 22 | |
| 5 | 2020 | 15 | |
| 6 | 2015 | 12 | |
| 7 | 2016 | 11 | |
| 8 | 2025 | 3 | |
| 9 | 2016 | 3 |
About Sakthi D. Moorthy
Sakthi D. Moorthy is a scholar working on Molecular Biology, Plant Science, Genetics, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 295 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (4 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (2 papers), Chromosomal and Genetic Variations (2 papers), Animal Genetics and Reproduction (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Molecular Biology (266 citations), Plant Science (47 citations), Genetics (33 citations), Cancer Research (11 citations) and Immunology (16 citations). Sakthi D. Moorthy has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Jennifer A. Mitchell, Gurdeep Singh, Virlana M. Shchuka, Neil Macpherson, Lida Langroudi, Scott Davidson, Alexandre Martchenko, Vincent So, Zhenyu Zuo and Ryan Dale. Their work appears in journals such as Journal of Visualized Experiments, Genome Research, Genome, Nature Genetics and G3 Genes Genomes Genetics.
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.