Lauren Hauser

689 total citations
18 papers, 377 citations indexed

About

Lauren Hauser is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Lauren Hauser has authored 18 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Lauren Hauser's work include Genetic Neurodegenerative Diseases (13 papers), Mitochondrial Function and Pathology (11 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Lauren Hauser is often cited by papers focused on Genetic Neurodegenerative Diseases (13 papers), Mitochondrial Function and Pathology (11 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Lauren Hauser collaborates with scholars based in United States, Poland and Australia. Lauren Hauser's co-authors include David R. Lynch, Cassandra J. Strawser, Jill S. Napierala, Марек Напиерала, Clementina Mesaros, Ian A. Blair, Liwei Weng, Qingqing Wang, Lili Guo and Jane Larkindale and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Lauren Hauser

17 papers receiving 375 citations

Peers

Lauren Hauser
Comparison fields: 5 of 64
  • Molecular Biology 314
  • Cellular and Molecular Neuroscience 281
  • Neurology 88
  • Cell Biology 60
  • Genetics 30
Replace Fabien Bertaux with:
Fabien Bertaux Germany
A.D. Kazantsev United States
Phillippa J. Carling United Kingdom
Teena Walker Canada
Emma Connell United Kingdom
Marianna Bugiani Italy
J. Edward John United States
Ichiro Kanazawa Japan
Zhi-hua Yang China
Gaëtan Després France
Fabien Bertaux Germany View profile →
Citations per field, relative to Lauren Hauser
Lauren Hauser · 1×
Citations per year, relative to Lauren Hauser
Lauren Hauser · 1×

Countries citing papers authored by Lauren Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Hauser

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 16
3 8
4 9
5 12
6 32
7 1
8 30
9 3
10 14
11 35
12 15
13 3
14 52
15 35
16 34
17 59
18 19

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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