Jeffrey N. Savas
- Neurology top 0.2%
- Biological Psychiatry top 1%
- Developmental Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 16
- Genetic Neurodegenerative Diseases 10
- Aging top 2%
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- Mitochondrial Function and Pathology 12
- Receptor Mechanisms and Signaling 8
- RNA Research and Splicing 8
- Ubiquitin and proteasome pathways 7
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- Cellular transport and secretion 12
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- Genetics and Neurodevelopmental Disorders 8
- Co-authors
- John R. YatesWen-Biao GanBarbara L. HempsteadIpe NinanChristopher N. ParkhurstGuang YangDan R. LittmanJuan J. Lafaille
- Partner nations
- United StatesBelgiumFrance
In The Last Decade
Jeffrey N. Savas
88 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Neurology 1.9k
- Biological Psychiatry 423
- Developmental Neuroscience 584
- Cellular and Molecular Neuroscience 2.3k
- Aging 145
Countries citing papers authored by Jeffrey N. Savas
This map shows the geographic impact of Jeffrey N. Savas'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 Jeffrey N. Savas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey N. Savas more than expected).
Fields of papers citing papers by Jeffrey N. Savas
This network shows the impact of papers produced by Jeffrey N. Savas. 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 Jeffrey N. Savas. The network helps show where Jeffrey N. Savas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey N. Savas, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 17 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 29 | |
| 12 | 2022 | 23 | |
| 13 | 2021 | 40 | |
| 14 | 2019 | 25 | |
| 15 | 2019 | 18 | |
| 16 | 2019 | 206 | |
| 17 | 2018 | 14 | |
| 18 | Dopamine oxidation mediates mitochondrial and lysosomal dysfunction in Parkinson’s diseasebreakdown → | 2017 | 625 |
| 19 | 2015 | 43 | |
| 20 | 2012 | 146 |
About Jeffrey N. Savas
Jeffrey N. Savas is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Aging, having authored 94 papers that have together received 7.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Mitochondrial Function and Pathology (12 papers), Cellular transport and secretion (12 papers), Genetic Neurodegenerative Diseases (10 papers), Genetics and Neurodevelopmental Disorders (8 papers), Receptor Mechanisms and Signaling (8 papers), RNA Research and Splicing (8 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Neurology (1.9k citations), Biological Psychiatry (423 citations) and Developmental Neuroscience (584 citations). Jeffrey N. Savas has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include John R. Yates, Wen-Biao Gan, Barbara L. Hempstead, Ipe Ninan, Christopher N. Parkhurst, Guang Yang, Dan R. Littman, Juan J. Lafaille, Martin W. Hetzer and Brandon H. Toyama. Their work appears in journals such as Neuron, Cell Reports, Nature Communications, Journal of Biological Chemistry and Science Advances.
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.