Jeffrey N. Savas

10.5k total citations · 2 hit papers
94 papers, 7.4k citations indexed

About

Jeffrey N. Savas is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Jeffrey N. Savas has authored 94 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 34 papers in Cellular and Molecular Neuroscience and 20 papers in Cell Biology. Recurrent topics in Jeffrey N. Savas's work include Neuroscience and Neuropharmacology Research (16 papers), Mitochondrial Function and Pathology (12 papers) and Cellular transport and secretion (12 papers). Jeffrey N. Savas is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Mitochondrial Function and Pathology (12 papers) and Cellular transport and secretion (12 papers). Jeffrey N. Savas collaborates with scholars based in United States, Belgium and France. Jeffrey N. Savas's co-authors include John R. Yates, Dan R. Littman, Christopher N. Parkhurst, Juan J. Lafaille, Barbara L. Hempstead, Ipe Ninan, Wen-Biao Gan, Guang Yang, Brandon H. Toyama and Martin W. Hetzer and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jeffrey N. Savas

88 papers receiving 7.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Microglia Promote Learning-Dependent Synapse Formation through Brain-Derived Neurotrophic Factor

2013 1.9k citations Christopher N. Parkhurst, Guang Yang et al. Cell profile →
Dopamine oxidation mediates mitochondrial and lysosomal dysfunction in Parkinson’s disease

2017 625 citations Lena F. Burbulla, Pingping Song et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jeffrey N. Savas United States	37	3.9k	2.3k	1.9k	1.0k	836	94	7.4k
Myriam Heiman United States	26	2.7k 0.7×	1.7k 0.7×	1.1k 0.6×	736 0.7×	483 0.6×	36	5.4k
Sebastian Kügler Germany	47	4.1k 1.1×	2.7k 1.2×	1.4k 0.8×	1.3k 1.3×	487 0.6×	124	7.7k
Claudia Verderio Italy	62	5.8k 1.5×	3.4k 1.5×	2.8k 1.5×	1.4k 1.4×	1.2k 1.4×	131	11.1k
Hemali Phatnani United States	25	4.6k 1.2×	1.4k 0.6×	2.5k 1.3×	1.1k 1.1×	1.2k 1.4×	39	8.3k
Thomas Misgeld Germany	44	3.1k 0.8×	3.3k 1.4×	2.1k 1.1×	945 0.9×	989 1.2×	96	8.2k
Çağla Eroğlu United States	38	2.7k 0.7×	3.4k 1.5×	2.6k 1.4×	1.2k 1.2×	449 0.5×	73	7.1k
Matthias Klugmann Australia	43	3.6k 0.9×	3.3k 1.4×	1.0k 0.6×	878 0.9×	458 0.5×	99	7.4k
Grahame J. Kidd United States	45	3.1k 0.8×	2.2k 1.0×	3.1k 1.7×	1.0k 1.0×	1.5k 1.8×	93	8.9k
Michael P. Coleman United Kingdom	50	4.0k 1.0×	3.6k 1.6×	1.6k 0.9×	1.6k 1.6×	422 0.5×	116	9.4k
Michael Brenner United States	48	4.4k 1.1×	1.6k 0.7×	1.3k 0.7×	665 0.7×	697 0.8×	92	7.1k

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 of co-authors of Jeffrey N. Savas

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey N. Savas. A scholar is included among the top collaborators of Jeffrey N. Savas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey N. Savas. Jeffrey N. Savas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sadleir, Katherine R., Jelena Popović, Arun K. Upadhyay, et al.. (2025). The UNC5C T835M mutation associated with Alzheimer’s disease leads to neurodegeneration involving oxidative stress and hippocampal atrophy in aged mice. Molecular Neurodegeneration. 20(1). 65–65.

Ge, Junyue, Maciej Dulewicz, Kaj Blennow, et al.. (2025). Chemical imaging delineates Aβ plaque polymorphism across the Alzheimer’s disease spectrum. Nature Communications. 16(1). 3889–3889. 3 indexed citations

Dulewicz, Maciej, Junyue Ge, Gunnar Brinkmalm, et al.. (2025). Isotope-encoded spatial biology identifies plaque-age-dependent maturation and synaptic loss in an Alzheimer’s disease mouse model. Nature Communications. 16(1). 8170–8170.

Amici, David R., A. Klein, Yizhi Wang, et al.. (2024). Tight regulation of a nuclear HAPSTR1-HUWE1 pathway essential for mammalian life. Life Science Alliance. 7(5). e202302370–e202302370.

Quan, Jenai, Qing Fan, Lacy M. Simons, et al.. (2024). Leveraging biotin-based proximity labeling to identify cellular factors governing early alphaherpesvirus infection. mBio. 15(8). e0144524–e0144524. 2 indexed citations

Lev‐Ram, Varda, Thomas J. Deerinck, Eric A. Bushong, et al.. (2024). Do Perineuronal Nets Stabilize the Engram of a Synaptic Circuit?. Cells. 13(19). 1627–1627. 7 indexed citations

Wang, Yizhi, Tamara Perez‐Rosello, Samuel N. Smukowski, D. James Surmeier, & Jeffrey N. Savas. (2024). Neuron type-specific proteomics reveals distinct Shank3 proteoforms in iSPNs and dSPNs lead to striatal synaptopathy in Shank3B–/– mice. Molecular Psychiatry. 29(8). 2372–2388. 2 indexed citations

Nomura, Toshihiro, Yizhi Wang, Jian Xu, et al.. (2023). A Pathogenic Missense Mutation in Kainate Receptors Elevates Dendritic Excitability and Synaptic Integration through Dysregulation of SK Channels. Journal of Neuroscience. 43(47). 7913–7928. 2 indexed citations

Song, Pingping, Wesley Peng, Véronique Sauvé, et al.. (2023). Parkinson’s disease-linked parkin mutation disrupts recycling of synaptic vesicles in human dopaminergic neurons. Neuron. 111(23). 3775–3788.e7. 29 indexed citations

10.

Forrest, Marc P., Marc Dos Santos, Nicolas H. Piguel, et al.. (2023). Rescue of neuropsychiatric phenotypes in a mouse model of 16p11.2 duplication syndrome by genetic correction of an epilepsy network hub. Nature Communications. 14(1). 825–825. 10 indexed citations

11.

Smith, Roger S., David R. Amici, Kyle Metz, et al.. (2022). HSF2 cooperates with HSF1 to drive a transcriptional program critical for the malignant state. Science Advances. 8(11). eabj6526–eabj6526. 23 indexed citations

12.

Yoon, Sehyoun, et al.. (2021). Homer1 promotes dendritic spine growth through ankyrin-G and its loss reshapes the synaptic proteome. Molecular Psychiatry. 26(6). 1775–1789. 40 indexed citations

13.

Rice, Heather C., An Schreurs, Samuel Frère, et al.. (2019). Secreted amyloid-β precursor protein functions as a GABA _B R1a ligand to modulate synaptic transmission. Science. 363(6423). 206 indexed citations

14.

Liu, Pan, et al.. (2019). Long-lived metabolic enzymes in the crystalline lens identified by pulse-labeling of mice and mass spectrometry. eLife. 8. 18 indexed citations

15.

Kim, Ji‐Eun, Jeffrey N. Savas, Meghan T. Miller, et al.. (2019). Proteomic analyses reveal misregulation of LIN28 expression and delayed timing of glial differentiation in human iPS cells with MECP2 loss-of-function. PLoS ONE. 14(2). e0212553–e0212553. 25 indexed citations

16.

Liu, Pan, Benjamin R. Thomson, Liang Feng, et al.. (2018). Selective permeability of mouse blood-aqueous barrier as determined by ¹⁵ N-heavy isotope tracing and mass spectrometry. Proceedings of the National Academy of Sciences. 115(36). 9032–9037. 14 indexed citations

17.

Burbulla, Lena F., Pingping Song, Joseph R. Mazzulli, et al.. (2017). Dopamine oxidation mediates mitochondrial and lysosomal dysfunction in Parkinson’s disease. Science. 357(6357). 1255–1261. 625 indexed citations breakdown →

18.

Topol, Aaron, Jane A. English, Erin Flaherty, et al.. (2015). Increased abundance of translation machinery in stem cell–derived neural progenitor cells from four schizophrenia patients. Translational Psychiatry. 5(10). e662–e662. 43 indexed citations

19.

Parkhurst, Christopher N., Guang Yang, Ipe Ninan, et al.. (2013). Microglia Promote Learning-Dependent Synapse Formation through Brain-Derived Neurotrophic Factor. Cell. 155(7). 1596–1609. 1909 indexed citations breakdown →

20.

Shanks, Natalie F., Jeffrey N. Savas, Tomohiko Maruo, et al.. (2012). Differences in AMPA and Kainate Receptor Interactomes Facilitate Identification of AMPA Receptor Auxiliary Subunit GSG1L. Cell Reports. 1(6). 590–598. 146 indexed citations

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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