David N. Hauser

3.6k total citations · 2 hit papers
22 papers, 2.4k citations indexed

About

David N. Hauser is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David N. Hauser has authored 22 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Neurology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in David N. Hauser's work include Parkinson's Disease Mechanisms and Treatments (9 papers), Autophagy in Disease and Therapy (3 papers) and Ubiquitin and proteasome pathways (3 papers). David N. Hauser is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (9 papers), Autophagy in Disease and Therapy (3 papers) and Ubiquitin and proteasome pathways (3 papers). David N. Hauser collaborates with scholars based in United States, United Kingdom and Sweden. David N. Hauser's co-authors include Teresa G. Hastings, Derek P. Narendra, Ian M. Fearnley, Lesley A. Kane, Richard J. Youle, Marianne Klein, Ricardo G. Correa, Daniella S. Battagello, Ariel R. Cardoso and Jackson C. Bittencourt and has published in prestigious journals such as Journal of Biological Chemistry, Nature Neuroscience and PLoS ONE.

In The Last Decade

David N. Hauser

20 papers receiving 2.3k citations

Hit Papers

Dopamine: Functions, Signaling, and Associa... 2010 2026 2015 2020 2018 2010 200 400 600

Peers

David N. Hauser
Byoung Boo Seo United States
Shavali Shaik United States
Shankar J. Chinta United States
Claire Henchcliffe United States
David N. Hauser
Citations per year, relative to David N. Hauser David N. Hauser (= 1×) peers Patricia Muñoz

Countries citing papers authored by David N. Hauser

Since Specialization
Citations

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

Fields of papers citing papers by David N. Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David N. Hauser. 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 David N. Hauser. The network helps show where David N. Hauser may publish in the future.

Co-authorship network of co-authors of David N. Hauser

This figure shows the co-authorship network connecting the top 25 collaborators of David N. Hauser. A scholar is included among the top collaborators of David N. Hauser 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 David N. Hauser. David N. Hauser 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.
Akram, M., et al.. (2024). Redox potential tuning by calcium ions in a novel c-type cytochrome from an anammox organism. Journal of Biological Chemistry. 301(2). 108082–108082.
2.
Beilina, Alexandra, et al.. (2021). Generation of iPSC line from a Parkinson patient with PARK7 mutation and CRISPR-edited Gibco human episomal iPSC line to mimic PARK7 mutation. Stem Cell Research. 55. 102506–102506. 2 indexed citations
3.
Robin, Gaëlle, J. C. Evans, David N. Hauser, Paul Wren, & Andreas Zembrzycki. (2020). Longitudinal Characterization of Transcriptomic, Functional, and Morphological Features in Human iPSC-Derived Neurons and Their Application to Investigate Translational Progranulin Disease Biology. Frontiers in Aging Neuroscience. 12. 576678–576678. 5 indexed citations
4.
González‐Freire, Marta, Alberto Díaz‐Ruiz, David N. Hauser, et al.. (2020). The road ahead for health and lifespan interventions. Ageing Research Reviews. 59. 101037–101037. 84 indexed citations
5.
Klein, Marianne, Daniella S. Battagello, Ariel R. Cardoso, et al.. (2018). Dopamine: Functions, Signaling, and Association with Neurological Diseases. Cellular and Molecular Neurobiology. 39(1). 31–59. 677 indexed citations breakdown →
6.
Langston, Rebekah G., Iakov N. Rudenko, Ravindran Kumaran, et al.. (2018). Differences in Stability, Activity and Mutation Effects Between Human and Mouse Leucine-Rich Repeat Kinase 2. Neurochemical Research. 44(6). 1446–1459. 9 indexed citations
7.
Hauser, David N., Adamantios Mamais, Melissa M. Conti, et al.. (2017). Hexokinases link DJ-1 to the PINK1/parkin pathway. Molecular Neurodegeneration. 12(1). 70–70. 93 indexed citations
8.
Hauser, David N., Christopher T. Primiani, & Mark Cookson. (2016). The Effects of Variants in the Parkin, PINK1, and DJ-1 Genes along with Evidence for their Pathogenicity. Current Protein and Peptide Science. 18(7). 702–714. 17 indexed citations
9.
Hauser, David N., Christopher T. Primiani, Rebekah G. Langston, Ravindran Kumaran, & Mark Cookson. (2015). ThePolgMutator Phenotype Does Not Cause Dopaminergic Neurodegeneration inDJ-1-Deficient Mice. eNeuro. 2(1). ENEURO.0075–14.2015. 22 indexed citations
10.
Mamais, Adamantios, Ruth Chia, Alexandra Beilina, et al.. (2014). Arsenite Stress Down-regulates Phosphorylation and 14-3-3 Binding of Leucine-rich Repeat Kinase 2 (LRRK2), Promoting Self-association and Cellular Redistribution. Journal of Biological Chemistry. 289(31). 21386–21400. 31 indexed citations
11.
Hauser, David N., Allissa Dillman, Jinhui Ding, Yan Li, & Mark Cookson. (2014). Post-Translational Decrease in Respiratory Chain Proteins in the Polg Mutator Mouse Brain. PLoS ONE. 9(4). e94646–e94646. 11 indexed citations
12.
Hauser, David N., et al.. (2014). Use of cysteine‐reactive cross‐linkers to probe conformational flexibility of human DJ‐1 demonstrates that Glu18 mutations are dimers. Journal of Neurochemistry. 130(6). 839–853. 13 indexed citations
13.
Hauser, David N., April Dukes, Amanda Mortimer, & Teresa G. Hastings. (2013). Dopamine quinone modifies and decreases the abundance of the mitochondrial selenoprotein glutathione peroxidase 4. Free Radical Biology and Medicine. 65. 419–427. 62 indexed citations
14.
Dillman, Allissa, David N. Hauser, J. Raphael Gibbs, et al.. (2013). mRNA expression, splicing and editing in the embryonic and adult mouse cerebral cortex. Nature Neuroscience. 16(4). 499–506. 113 indexed citations
15.
Hauser, David N. & Teresa G. Hastings. (2012). Mitochondrial dysfunction and oxidative stress in Parkinson's disease and monogenic parkinsonism. Neurobiology of Disease. 51. 35–42. 368 indexed citations
16.
Rudenko, Iakov N., Alice Kaganovich, David N. Hauser, et al.. (2012). The G2385R variant of leucine-rich repeat kinase 2 associated with Parkinson's disease is a partial loss-of-function mutation. Biochemical Journal. 446(1). 99–111. 94 indexed citations
17.
Narendra, Derek P., Lesley A. Kane, David N. Hauser, Ian M. Fearnley, & Richard J. Youle. (2010). p62/SQSTM1 is required for Parkin-induced mitochondrial clustering but not mitophagy; VDAC1 is dispensable for both. Autophagy. 6(8). 1090–1106. 629 indexed citations breakdown →
18.
Hauser, David N. & Pandu R. Tadikamalla. (1996). The Analytic Hierarchy Process in an uncertain environment: A simulation approach. European Journal of Operational Research. 91(1). 27–37. 92 indexed citations
19.
Hauser, David N. & Kirti Peniwati. (1996). On the Proper Interpretation and Impact of the AHP Axiom of Independence in Single-Criterion and Multiple-Criteria Problems. Journal of Multi-Criteria Decision Analysis. 5(4). 259–266. 3 indexed citations
20.
Hauser, David N. & Kirti Peniwati. (1994). Misuse of the Axiom of Independence in the Analytic Hierarchy Process . ISAHP proceedings. 1 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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