Jeffery L. Twiss
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms 20
- Cellular and Molecular Neuroscience top 0.5%
- Nerve injury and regeneration 48
- Hereditary Neurological Disorders 9
- Cell Biology top 1%
- Molecular Biology top 1%
- RNA Research and Splicing 31
- Signaling Pathways in Disease 19
- RNA Interference and Gene Delivery 12
- RNA regulation and disease 11
- RNA and protein synthesis mechanisms 10
- Neurology top 2%
- Co-authors
- Dianna E. WillisTanuja T. MeriandaMike FainzilberSoonmoon YooDeepika VuppalanchiJay ChangChristopher J. DonnellyPabitra K. Sahoo
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (5 papers)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Jeffery L. Twiss
98 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 118
- Developmental Neuroscience 1.1k
- Cellular and Molecular Neuroscience 3.0k
- Cell Biology 1.1k
- Molecular Biology 4.5k
- Neurology 494
Countries citing papers authored by Jeffery L. Twiss
This map shows the geographic impact of Jeffery L. Twiss'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 Jeffery L. Twiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffery L. Twiss more than expected).
Fields of papers citing papers by Jeffery L. Twiss
This network shows the impact of papers produced by Jeffery L. Twiss. 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 Jeffery L. Twiss. The network helps show where Jeffery L. Twiss may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffery L. Twiss, 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 | 2023 | 8 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 18 | |
| 5 | 2022 | 44 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 106 | |
| 8 | 2019 | 82 | |
| 9 | 2018 | 184 | |
| 10 | 2018 | 89 | |
| 11 | 2018 | 10 | |
| 12 | 2011 | 179 | |
| 13 | 2011 | 62 | |
| 14 | 2010 | 293 | |
| 15 | 2006 | 18 | |
| 16 | 2004 | 26 | |
| 17 | 2003 | 86 | |
| 18 | 2003 | 13 | |
| 19 | 2003 | 392 | |
| 20 | 1998 | 30 |
About Jeffery L. Twiss
Jeffery L. Twiss is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 98 papers that have together received 6.9k indexed citations. Recurring topics across this work include Nerve injury and regeneration (48 papers), RNA Research and Splicing (31 papers), Neurogenesis and neuroplasticity mechanisms (20 papers), Signaling Pathways in Disease (19 papers), RNA Interference and Gene Delivery (12 papers), RNA regulation and disease (11 papers), RNA and protein synthesis mechanisms (10 papers) and Hereditary Neurological Disorders (9 papers). The work is most often cited by research in Developmental Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (3.0k citations) and Cell Biology (1.1k citations). Jeffery L. Twiss has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Dianna E. Willis, Tanuja T. Merianda, Mike Fainzilber, Soonmoon Yoo, Deepika Vuppalanchi, Jay Chang, Christopher J. Donnelly, Pabitra K. Sahoo, Theresa K. Kelly and Giovanni Coppola. 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.