Jeffrey D. Thomas
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
-
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- CRISPR and Genetic Engineering
Papers in
-
- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 3
- Pharmacological Receptor Mechanisms and Effects 2
- RNA modifications and cancer 1
- Protein Degradation and Inhibitors 1
- Co-authors
- Thomas Blumenthal (4 shared papers)Richard C. Conrad (2 shared papers)Kristi Lea (1 shared paper)Felix J. Kim (2 shared papers)Christina M. Maher (2 shared papers)Jane Y. Tong (1 shared paper)Alex Parker (2 shared papers)Joanne M. Meyer (2 shared papers)
- Journals
- Diabetes (2 papers)Nucleic Acids Research (2 papers)Molecular and Cellular Biology (1 paper)Cell (1 paper)Molecular Cancer Research (1 paper)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Jeffrey D. Thomas
10 papers receiving 756 citations
Peers
Comparison fields: 5 of 72
- Aging 95
- Molecular Biology 533
- Genetics 134
- Physiology 18
- Immunology 71
Countries citing papers authored by Jeffrey D. Thomas
This map shows the geographic impact of Jeffrey D. Thomas'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 Jeffrey D. Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey D. Thomas more than expected).
Fields of papers citing papers by Jeffrey D. Thomas
This network shows the impact of papers produced by Jeffrey D. Thomas. 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 Jeffrey D. Thomas. The network helps show where Jeffrey D. Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey D. Thomas, 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 | 132 | |
| 2 | 1988 | 127 | |
| 3 | 2001 | 110 | |
| 4 | 2001 | 94 | |
| 5 | 1990 | 93 | |
| 6 | 2001 | 74 | |
| 7 | 2015 | 56 | |
| 8 | 2017 | 37 | |
| 9 | 1991 | 32 | |
| 10 | 1988 | 18 | |
| 11 | 2006 | 0 |
About Jeffrey D. Thomas
Jeffrey D. Thomas is a scholar working on Molecular Biology, Epidemiology, Genetics, Infectious Diseases and Clinical Biochemistry, having authored 11 papers that have together received 773 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Genetic Associations and Epidemiology (2 papers), RNA modifications and cancer (1 paper), Protein Degradation and Inhibitors (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Aging (95 citations), Molecular Biology (533 citations), Genetics (134 citations), Physiology (18 citations) and Immunology (71 citations). Jeffrey D. Thomas has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Thomas Blumenthal, Richard C. Conrad, Kristi Lea, Felix J. Kim, Christina M. Maher, Jane Y. Tong, Alex Parker, Joanne M. Meyer, Steve Lewitzky and Brian Moldover. Their work appears in journals such as Diabetes, Nucleic Acids Research, Molecular and Cellular Biology, Cell and Molecular Cancer 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.