F. Jeffrey Dilworth
- Aging top 2%
- Molecular Biology top 1%
- Muscle Physiology and Disorders 21
- Genomics and Chromatin Dynamics 17
- RNA Research and Splicing 16
- RNA modifications and cancer 13
- Epigenetics and DNA Methylation 12
- Histone Deacetylase Inhibitors Research 8
- Cancer-related gene regulation 8
- Cancer Research top 5%
- Biochemistry top 2%
- Genetics top 2%
- Estrogen and related hormone effects 8
- Co-authors
- Pierre ChambonMarjorie BrandStephen J. TapscottKulwant SinghShravanti RampalliYu-Ding GuoGlenville JonesMartin Petkovich
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (6 papers)Nucleic Acids Research (2 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
F. Jeffrey Dilworth
75 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 126
- Aging 122
- Molecular Biology 4.6k
- Cancer Research 587
- Biochemistry 219
- Genetics 1.0k
Countries citing papers authored by F. Jeffrey Dilworth
This map shows the geographic impact of F. Jeffrey Dilworth'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 F. Jeffrey Dilworth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Jeffrey Dilworth more than expected).
Fields of papers citing papers by F. Jeffrey Dilworth
This network shows the impact of papers produced by F. Jeffrey Dilworth. 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 F. Jeffrey Dilworth. The network helps show where F. Jeffrey Dilworth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F. Jeffrey Dilworth, 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 | 2025 | 5 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 54 | |
| 4 | 2021 | 19 | |
| 5 | 2020 | 20 | |
| 6 | 2019 | 8 | |
| 7 | 2018 | 37 | |
| 8 | 2017 | 1 | |
| 9 | 2014 | 41 | |
| 10 | 2013 | 37 | |
| 11 | 2012 | 66 | |
| 12 | 2011 | 162 | |
| 13 | 2010 | 200 | |
| 14 | 2010 | 108 | |
| 15 | 2007 | 297 | |
| 16 | 2007 | 109 | |
| 17 | 2004 | 152 | |
| 18 | 1997 | 34 | |
| 19 | 1996 | 321 | |
| 20 | 1994 | 63 |
About F. Jeffrey Dilworth
F. Jeffrey Dilworth is a scholar working on Molecular Biology, Genetics and Aging, having authored 75 papers that have together received 5.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (21 papers), Genomics and Chromatin Dynamics (17 papers), RNA Research and Splicing (16 papers), RNA modifications and cancer (13 papers), Epigenetics and DNA Methylation (12 papers), Histone Deacetylase Inhibitors Research (8 papers), Cancer-related gene regulation (8 papers) and Estrogen and related hormone effects (8 papers). The work is most often cited by research in Aging (122 citations), Molecular Biology (4.6k citations) and Cancer Research (587 citations). F. Jeffrey Dilworth has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Pierre Chambon, Marjorie Brand, Stephen J. Tapscott, Kulwant Singh, Shravanti Rampalli, Yu-Ding Guo, Glenville Jones, Martin Petkovich, Jay A. White and Arif Aziz. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.