Jeff Sevigny
Impact in
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research
Papers in
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- Alzheimer's disease research and treatments 4
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- Phosphodiesterase function and regulation 1
- Co-authors
- Leslie Williams (2 shared papers)J L Ferrero (1 shared paper)Alvydas Mikulskis (1 shared paper)John O’Gorman (1 shared paper)Ping Chiao (6 shared papers)Tianle Chen (2 shared papers)Joyce Suhy (4 shared papers)Ajay Verma (3 shared papers)
- Journals
- Alzheimer s & Dementia (6 papers)Alzheimer Disease & Associated Disorders (2 papers)Science Translational Medicine (1 paper)Alzheimer s & Dementia Translational Research & Clinical Interventions (1 paper)Biological Psychiatry Global Open Science (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Jeff Sevigny
11 papers receiving 357 citations
Peers
Comparison fields: 5 of 66
- Biological Psychiatry 16
- Psychiatry and Mental health 89
- Physiology 148
- Pharmacology 79
- Neurology 37
Countries citing papers authored by Jeff Sevigny
This map shows the geographic impact of Jeff Sevigny'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 Jeff Sevigny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Sevigny more than expected).
Fields of papers citing papers by Jeff Sevigny
This network shows the impact of papers produced by Jeff Sevigny. 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 Jeff Sevigny. The network helps show where Jeff Sevigny may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Sevigny, 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 | 2016 | 136 | |
| 2 | 2016 | 88 | |
| 3 | 2019 | 76 | |
| 4 | 2015 | 32 | |
| 5 | 2010 | 15 | |
| 6 | 2021 | 10 | |
| 7 | 2013 | 2 | |
| 8 | 2014 | 2 | |
| 9 | 2013 | 1 | |
| 10 | 2014 | 1 | |
| 11 | 2014 | 1 |
About Jeff Sevigny
Jeff Sevigny is a scholar working on Physiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Statistics and Probability and Social Psychology, having authored 11 papers that have together received 364 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Medical Imaging Techniques and Applications (3 papers), Statistical Methods in Clinical Trials (2 papers), Autism Spectrum Disorder Research (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper), Phosphodiesterase function and regulation (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Biological Psychiatry (16 citations), Psychiatry and Mental health (89 citations), Physiology (148 citations), Pharmacology (79 citations) and Neurology (37 citations). Jeff Sevigny has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Leslie Williams, J L Ferrero, Alvydas Mikulskis, John O’Gorman, Ping Chiao, Tianle Chen, Joyce Suhy, Ajay Verma, Joonmi Oh and Mehul Sampat. Their work appears in journals such as Alzheimer s & Dementia, Alzheimer Disease & Associated Disorders, Science Translational Medicine, Alzheimer s & Dementia Translational Research & Clinical Interventions and Biological Psychiatry Global Open Science.
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.