Jeffrey N. Savas

10.5k citations
94 papers · 7.4k indexed · 2 hit papers · h-index 37

Jeffrey N. Savas

88 papers receiving 7.4k citations

Hit Papers

Dopamine oxidation mediates mitochondrial and lysosomal d...625201320262017202150010001.5k

Peers

Jeffrey N. Savas
Comparison fields: 5 of 131
  • Neurology 1.9k
  • Biological Psychiatry 423
  • Developmental Neuroscience 584
  • Cellular and Molecular Neuroscience 2.3k
  • Aging 145
Replace Lars M. Ittner with:
Lars M. Ittner Australia
Maria C. Marchetto United States
Heng‐Ye Man United States
Li-Huei Tsai United States
Myriam Heiman United States
Minh Dang Nguyen Canada
Gregory J. Brewer United States
Robert Nitsch Germany
Bernard L. Schneider Switzerland
Johannes Hirrlinger Germany
Jeffrey N. Savas relative to Lars M. Ittner Australia Lars M. Ittner's profile →
Citations per field
00.5×1.5×
Lars M. Ittner · 1×
Citations per year

Countries citing papers authored by Jeffrey N. Savas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jeffrey N. Savas Line = papers co-authored together Jeffrey N. Savas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20253
4 20250
5 20247
6 202417
7 20242
8 20242
9 20240
10 202310
11 202329
12 202223
13 202140
14 201925
15 201918
16 2019206
17 201814
18
Dopamine oxidation mediates mitochondrial and lysosomal dysfunction in Parkinson’s diseasebreakdown →
2017625
19 201543
20 2012146

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.

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