George Spracklin
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
-
- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 1
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Co-authors
- Scott Kennedy (3 shared papers)Judith Kimble (1 shared paper)Heidi Fritz (1 shared paper)Aaron M. Kershner (1 shared paper)Andrew Fire (1 shared paper)Bethany A. Buckley (1 shared paper)Sam Guoping Gu (1 shared paper)Kirk B. Burkhart (1 shared paper)
- Journals
- Nature (2 papers)Clinical Epigenetics (1 paper)Nature Structural & Molecular Biology (1 paper)Genetics (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
George Spracklin
9 papers receiving 755 citations
Peers
Comparison fields: 5 of 62
- Aging 307
- Molecular Biology 660
- Plant Science 178
- Endocrine and Autonomic Systems 22
- Genetics 77
Countries citing papers authored by George Spracklin
This map shows the geographic impact of George Spracklin'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 George Spracklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Spracklin more than expected).
Fields of papers citing papers by George Spracklin
This network shows the impact of papers produced by George Spracklin. 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 George Spracklin. The network helps show where George Spracklin may publish in the future.
Co-authors
The 25 scholars most cited alongside George Spracklin, 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 | 2012 | 378 | |
| 2 | 2018 | 147 | |
| 3 | 2017 | 96 | |
| 4 | 2022 | 62 | |
| 5 | 2017 | 40 | |
| 6 | 2020 | 16 | |
| 7 | 2024 | 13 | |
| 8 | 2019 | 9 | |
| 9 | 2023 | 1 |
About George Spracklin
George Spracklin is a scholar working on Molecular Biology, Aging, Plant Science, Genetics and Infectious Diseases, having authored 9 papers that have together received 762 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Chromosomal and Genetic Variations (2 papers), RNA and protein synthesis mechanisms (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Aging (307 citations), Molecular Biology (660 citations), Plant Science (178 citations), Endocrine and Autonomic Systems (22 citations) and Genetics (77 citations). George Spracklin has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Scott Kennedy, Judith Kimble, Heidi Fritz, Aaron M. Kershner, Andrew Fire, Bethany A. Buckley, Sam Guoping Gu, Kirk B. Burkhart, Aditi Shukla and Gang Wan. Their work appears in journals such as Nature, Clinical Epigenetics, Nature Structural & Molecular Biology, Genetics and Genome biology.
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.