Sara K. Pittman

1.1k total citations
26 papers, 716 citations indexed

About

Sara K. Pittman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Sara K. Pittman has authored 26 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Epidemiology. Recurrent topics in Sara K. Pittman's work include Muscle Physiology and Disorders (12 papers), Genetic Neurodegenerative Diseases (8 papers) and Autophagy in Disease and Therapy (6 papers). Sara K. Pittman is often cited by papers focused on Muscle Physiology and Disorders (12 papers), Genetic Neurodegenerative Diseases (8 papers) and Autophagy in Disease and Therapy (6 papers). Sara K. Pittman collaborates with scholars based in United States, United Kingdom and Finland. Sara K. Pittman's co-authors include Conrad C. Weihl, Conrad C. Weihl, Tsui‐Fen Chou, Youjin Lee, Babak Razani, Khalid Arhzaouy, Jeong-Sun Ju, James Kain Ching, Alan Pestronk and Matthew B. Harms and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Sara K. Pittman

25 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara K. Pittman United States 15 447 272 169 123 116 26 716
B. Tedesco Italy 15 479 1.1× 315 1.2× 248 1.5× 154 1.3× 243 2.1× 27 916
Elias Adriaenssens Belgium 15 361 0.8× 211 0.8× 161 1.0× 131 1.1× 59 0.5× 17 595
Seong H. Park South Korea 11 336 0.8× 91 0.3× 301 1.8× 255 2.1× 82 0.7× 26 953
Pasquale D’Acunzo United States 13 550 1.2× 281 1.0× 68 0.4× 50 0.4× 79 0.7× 16 754
Yuichi Matsushima Japan 21 1.1k 2.4× 109 0.4× 104 0.6× 77 0.6× 41 0.4× 52 1.3k
Leonardo J. Leon United States 10 473 1.1× 336 1.2× 77 0.5× 45 0.4× 49 0.4× 10 710
Ryan Prestil United States 6 255 0.6× 116 0.4× 83 0.5× 89 0.7× 94 0.8× 8 445
Carol X Chen Canada 4 657 1.5× 487 1.8× 141 0.8× 82 0.7× 242 2.1× 4 949

Countries citing papers authored by Sara K. Pittman

Since Specialization
Citations

This map shows the geographic impact of Sara K. Pittman'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 Sara K. Pittman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara K. Pittman more than expected).

Fields of papers citing papers by Sara K. Pittman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara K. Pittman. 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 Sara K. Pittman. The network helps show where Sara K. Pittman may publish in the future.

Co-authorship network of co-authors of Sara K. Pittman

This figure shows the co-authorship network connecting the top 25 collaborators of Sara K. Pittman. A scholar is included among the top collaborators of Sara K. Pittman 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 Sara K. Pittman. Sara K. Pittman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lynch, Eileen M., Sara K. Pittman, Jil Daw, et al.. (2024). Seeding-competent TDP-43 persists in human patient and mouse muscle. Science Translational Medicine. 16(775). eadp5730–eadp5730. 6 indexed citations
2.
Li, Chun, et al.. (2023). O07 RAN translation of expanded CGG repeat in LRP12 may contribute to oculopharyngodistal myopathy. Neuromuscular Disorders. 33. S129–S129. 2 indexed citations
3.
Findlay, Andrew R., May M. Paing, Jil Daw, et al.. (2023). DNAJB6 isoform specific knockdown: Therapeutic potential for limb girdle muscular dystrophy D1. Molecular Therapy — Nucleic Acids. 32. 937–948. 4 indexed citations
4.
Li, Chengcheng, Sara K. Pittman, Jil Daw, et al.. (2023). Comprehensive functional characterization of SGCB coding variants predicts pathogenicity in limb-girdle muscular dystrophy type R4/2E. Journal of Clinical Investigation. 133(12). 5 indexed citations
5.
Moon, Sung Ho, Shaoping Guan, Harold F. Sims, et al.. (2023). Genetic deletion of skeletal muscle iPLA2γ results in mitochondrial dysfunction, muscle atrophy and alterations in whole-body energy metabolism. iScience. 26(6). 106895–106895. 3 indexed citations
6.
Evesson, Frances J., Samantha J. Bryen, Sara K. Pittman, et al.. (2023). Connective tissue presentation in two families expands the phenotypic spectrum of PYROXD1 disorders. Human Molecular Genetics. 32(12). 2084–2092. 2 indexed citations
7.
Inoue, Michio, S. Noguchi, Yukiko Inoue, et al.. (2022). Distinctive chaperonopathy in skeletal muscle associated with the dominant variant in DNAJB4. Acta Neuropathologica. 145(2). 235–255. 10 indexed citations
8.
Zhu, Jiang, Sara K. Pittman, Dhruva D. Dhavale, et al.. (2022). VCP suppresses proteopathic seeding in neurons. Molecular Neurodegeneration. 17(1). 30–30. 26 indexed citations
9.
Wani, Abubakar, Jiang Zhu, Jason D. Ulrich, et al.. (2021). Neuronal VCP loss of function recapitulates FTLD-TDP pathology. Cell Reports. 36(3). 109399–109399. 27 indexed citations
10.
Bengoechea, Rocío, Andrew R. Findlay, Hao Shao, et al.. (2020). Inhibition of DNAJ-HSP70 interaction improves strength in muscular dystrophy. Journal of Clinical Investigation. 130(8). 4470–4485. 18 indexed citations
11.
Vihola, Anna, Johanna Palmio, Olof Danielsson, et al.. (2019). Novel mutation in TNPO3 causes congenital limb-girdle myopathy with slow progression. Neurology Genetics. 5(3). e337–e337. 13 indexed citations
12.
Findlay, Andrew R., Rocío Bengoechea, Sara K. Pittman, et al.. (2019). Lithium chloride corrects weakness and myopathology in a preclinical model of LGMD1D. Neurology Genetics. 5(2). e318–e318. 14 indexed citations
13.
Lee, Youjin, et al.. (2017). Keap1/Cullin3 Modulates p62/SQSTM1 Activity via UBA Domain Ubiquitination. Cell Reports. 19(1). 188–202. 129 indexed citations
14.
Geisler, Stefanie, Sara K. Pittman, Ryan A. Doan, et al.. (2016). TMEM184b Promotes Axon Degeneration and Neuromuscular Junction Maintenance. Journal of Neuroscience. 36(17). 4681–4689. 23 indexed citations
15.
Weihl, Conrad C., Robert H. Baloh, Youjin Lee, et al.. (2015). Targeted sequencing and identification of genetic variants in sporadic inclusion body myositis. Neuromuscular Disorders. 25(4). 289–296. 49 indexed citations
16.
Bengoechea, Rocío, et al.. (2015). Myofibrillar disruption and RNA-binding protein aggregation in a mouse model of limb-girdle muscular dystrophy 1D. Human Molecular Genetics. 24(23). 6588–6602. 29 indexed citations
17.
Weihl, Conrad C., Stanley Iyadurai, Robert H. Baloh, et al.. (2014). Autophagic vacuolar pathology in desminopathies. Neuromuscular Disorders. 25(3). 199–206. 20 indexed citations
18.
Ching, James Kain, Jeong-Sun Ju, Sara K. Pittman, Marta Margeta, & Conrad C. Weihl. (2013). Increased autophagy accelerates colchicine-induced muscle toxicity. Autophagy. 9(12). 2115–2125. 33 indexed citations
19.
Ching, James Kain, et al.. (2012). mTOR dysfunction contributes to vacuolar pathology and weakness in valosin-containing protein associated inclusion body myopathy. Human Molecular Genetics. 22(6). 1167–1179. 55 indexed citations
20.
Pittman, Sara K., et al.. (2011). Solid-Phase Microextraction and the Human Fecal VOC Metabolome. PLoS ONE. 6(4). e18471–e18471. 64 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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