Jonathan D. Krett
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Long-Term Effects of COVID-19
- Epidemiology top 10%
- Autophagy in Disease and Therapy
Papers in
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- Long-Term Effects of COVID-19 3
- Peripheral Neuropathies and Disorders 2
-
- Multiple Sclerosis Research Studies 5
- Co-authors
- Kalle Gehring (2 shared papers)Véronique Sauvé (2 shared papers)Edward A. Fon (2 shared papers)Bhushan Nagar (1 shared paper)Karl Grenier (1 shared paper)Marie Ménade (1 shared paper)M. Sameer Al‐Abdul‐Wahid (1 shared paper)Guennadi Kozlov (1 shared paper)
- Journals
- Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques (2 papers)Neurology Neuroimmunology & Neuroinflammation (2 papers)PLoS ONE (1 paper)Scientific Reports (1 paper)CMAJ Open (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Jonathan D. Krett
12 papers receiving 520 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Neurology 223
- Epidemiology 284
- Molecular Biology 306
- Cellular and Molecular Neuroscience 60
- Cell Biology 53
Countries citing papers authored by Jonathan D. Krett
This map shows the geographic impact of Jonathan D. Krett'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 Jonathan D. Krett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Krett more than expected).
Fields of papers citing papers by Jonathan D. Krett
This network shows the impact of papers produced by Jonathan D. Krett. 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 Jonathan D. Krett. The network helps show where Jonathan D. Krett may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan D. Krett, 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 | Structure of Parkin Reveals Mechanisms for Ubiquitin Ligase Activation Hit paper breakdown → | 2013 | 417 |
| 2 | 2017 | 36 | |
| 3 | 2020 | 24 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2021 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 |
About Jonathan D. Krett
Jonathan D. Krett is a scholar working on Neurology, Pathology and Forensic Medicine, Oncology, Infectious Diseases and Epidemiology, having authored 13 papers that have together received 522 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Long-Term Effects of COVID-19 (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Polyomavirus and related diseases (2 papers), Peripheral Neuropathies and Disorders (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Infectious Encephalopathies and Encephalitis (2 papers). The work is most often cited by research in Neurology (223 citations), Epidemiology (284 citations), Molecular Biology (306 citations), Cellular and Molecular Neuroscience (60 citations) and Cell Biology (53 citations). Jonathan D. Krett has collaborated with scholars based in Canada and United States. Frequent co-authors include Kalle Gehring, Véronique Sauvé, Edward A. Fon, Bhushan Nagar, Karl Grenier, Marie Ménade, M. Sameer Al‐Abdul‐Wahid, Guennadi Kozlov, Matthew Y. H. Tang and Kathy Wong. Their work appears in journals such as Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Neurology Neuroimmunology & Neuroinflammation, PLoS ONE, Scientific Reports and CMAJ Open.
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.