David N. Hauser

20 papers receiving 2.3k citations

David N. Hauser's Hit Papers

Dopamine: Functions, Signaling, and Association with Neurological Diseases 2018 · 677 citations
6770+5+10Years since publication200400600

Peers

David N. Hauser
Comparison fields: 5 of 150
  • Neurology 665
  • Biological Psychiatry 75
  • Aging 52
  • Cellular and Molecular Neuroscience 461
  • Neurology 193
Replace Jieqiong Tan with:
Jieqiong Tan China
Judith A. Potashkin United States
Adrien W. Schmid Switzerland
Anand Rane United States
Byoung Boo Seo United States
Saravanan S. Karuppagounder United States
Shanshan Wang China
Marta Pajares Spain
Irmgard Paris Chile
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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-authors

The 25 scholars most cited alongside David N. Hauser, 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 David N. Hauser Line = papers co-authored together David N. Hauser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dopamine: Functions, Signaling, and Association with Neurological Diseases
Hit paper breakdown →
2018677
2
p62/SQSTM1 is required for Parkin-induced mitochondrial clustering but not mitophagy; VDAC1 is dispensable for both
Hit paper breakdown →
2010629
3 2012368
4 2013113
5 201294
6 201793
7 199692
8 202084
9 201362
10 201843
11 201431
12 201522
13 201617
14 201413
15 201411
16 20189
17 20205
18 19963
19
Genetic heterogeneity of beta thalassemia in western Sicily.
19833
20 20212

About David N. Hauser

David N. Hauser is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Physiology and Epidemiology, having authored 22 papers that have together received 2.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Ubiquitin and proteasome pathways (3 papers), Autophagy in Disease and Therapy (3 papers), Alzheimer's disease research and treatments (2 papers), Nuclear Receptors and Signaling (2 papers), Trace Elements in Health (2 papers), Multi-Criteria Decision Making (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Neurology (665 citations), Biological Psychiatry (75 citations), Aging (52 citations), Cellular and Molecular Neuroscience (461 citations) and Neurology (193 citations). David N. Hauser has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Teresa G. Hastings, Richard J. Youle, Ian M. Fearnley, Lesley A. Kane, Derek P. Narendra, Marianne Klein, Jackson C. Bittencourt, Daniella S. Battagello, Ariel R. Cardoso and Ricardo G. Correa. Their work appears in journals such as Journal of Biological Chemistry, Autophagy, Journal of Neurochemistry, Frontiers in Aging Neuroscience and Cellular and Molecular Neurobiology.

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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