Jason A. Howitt
Impact in
- Molecular Biology top 5%
- Extracellular vesicles in disease
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
- Protein purification and stability
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- Axon Guidance and Neuronal Signaling
Papers in
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- Axon Guidance and Neuronal Signaling 4
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- Extracellular vesicles in disease 7
- Co-authors
- Seong‐Seng Tan (18 shared papers)Ulrich Putz (16 shared papers)John Silke (10 shared papers)Andrew Francis 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)Experimental Neurology (2 papers)The EMBO Journal (2 papers)Journal of Neuroscience (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Jason A. Howitt
35 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 207
- Neurology 89
- Cell Biology 65
- Developmental Neuroscience 14
Countries citing papers authored by Jason A. Howitt
This map shows the geographic impact of Jason A. 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 A. 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 A. Howitt more than expected).
Fields of papers citing papers by Jason A. Howitt
This network shows the impact of papers produced by Jason A. 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 A. Howitt. The network helps show where Jason A. Howitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason A. 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 310 | |
| 2 | 2012 | 268 | |
| 3 | 2016 | 244 | |
| 4 | 2001 | 185 | |
| 5 | 2008 | 134 | |
| 6 | 2004 | 113 | |
| 7 | 2004 | 108 | |
| 8 | 2009 | 103 | |
| 9 | 2006 | 97 | |
| 10 | 2012 | 90 | |
| 11 | 2020 | 79 | |
| 12 | 2008 | 74 | |
| 13 | 2021 | 66 | |
| 14 | 2009 | 61 | |
| 15 | 2022 | 52 | |
| 16 | 2006 | 48 | |
| 17 | 2006 | 44 | |
| 18 | 2003 | 43 | |
| 19 | 2012 | 34 | |
| 20 | 2014 | 29 |
About Jason A. Howitt
Jason A. Howitt is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Immunology and Geriatrics and Gerontology, having authored 35 papers that have together received 2.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), Axon Guidance and Neuronal Signaling (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), T-cell and B-cell Immunology (2 papers), Virus-based gene therapy research (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Cancer-related Molecular Pathways (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (207 citations), Neurology (89 citations), Cell Biology (65 citations) and Developmental Neuroscience (14 citations). Jason A. 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 Francis 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, Experimental Neurology, The EMBO Journal, Journal of Neuroscience and Proceedings of the National Academy of Sciences.
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.