Jason Howitt
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
Papers in
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- Ubiquitin and proteasome pathways 8
- Extracellular vesicles in disease 5
- RNA Interference and Gene Delivery 4
- PI3K/AKT/mTOR signaling in cancer 4
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- Axon Guidance and Neuronal Signaling 4
- Co-authors
- Seong‐Seng Tan (17 shared papers)Ulrich Putz (16 shared papers)John Silke (10 shared papers)Andrew F. Hill (1 shared paper)Ley‐Hian Low (10 shared papers)Erhard Hohenester (4 shared papers)Choo‐Peng Goh (9 shared papers)Paul Freimuth (4 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)Journal of Neuroscience (2 papers)Proceedings of the National Academy of Sciences (2 papers)Experimental Neurology (2 papers)The EMBO Journal (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Jason Howitt
34 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 503
- Molecular Biology 1.6k
- Developmental Neuroscience 75
- Cellular and Molecular Neuroscience 328
- Cell Biology 228
Countries citing papers authored by Jason Howitt
This map shows the geographic impact of Jason Howitt'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 Jason Howitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Howitt more than expected).
Fields of papers citing papers by Jason Howitt
This network shows the impact of papers produced by Jason Howitt. 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 Jason Howitt. The network helps show where Jason Howitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Howitt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 293 | |
| 2 | 2012 | 253 | |
| 3 | 2016 | 232 | |
| 4 | 2001 | 172 | |
| 5 | 2008 | 128 | |
| 6 | 2004 | 111 | |
| 7 | 2004 | 104 | |
| 8 | 2009 | 99 | |
| 9 | 2006 | 90 | |
| 10 | 2012 | 89 | |
| 11 | 2020 | 80 | |
| 12 | 2008 | 70 | |
| 13 | 2009 | 60 | |
| 14 | 2021 | 52 | |
| 15 | 2006 | 50 | |
| 16 | 2022 | 45 | |
| 17 | 2003 | 42 | |
| 18 | 2006 | 38 | |
| 19 | 2012 | 32 | |
| 20 | 2014 | 27 |
About Jason Howitt
Jason Howitt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Oncology and Cell Biology, having authored 34 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Extracellular vesicles in disease (5 papers), RNA Interference and Gene Delivery (4 papers), Axon Guidance and Neuronal Signaling (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), CAR-T cell therapy research (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Cancer Research (503 citations), Molecular Biology (1.6k citations), Developmental Neuroscience (75 citations), Cellular and Molecular Neuroscience (328 citations) and Cell Biology (228 citations). Jason Howitt has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Seong‐Seng Tan, Ulrich Putz, John Silke, Andrew F. Hill, Ley‐Hian Low, Erhard Hohenester, Choo‐Peng Goh, Paul Freimuth, Anh Doan and Sharad Kumar. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, Proceedings of the National Academy of Sciences, Experimental Neurology and The EMBO Journal.
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.