Lauren E. Mueller

781 citations
21 papers · 522 · h-index 9

Impact in

Papers in

Lauren E. Mueller

21 papers receiving 520 citations

Peers

Lauren E. Mueller
Comparison fields: 5 of 54
  • Cellular and Molecular Neuroscience 298
  • Cognitive Neuroscience 170
  • Developmental Neuroscience 11
  • General Decision Sciences 8
  • Neurology 28
Replace Alessandra Lintas with:
Alessandra Lintas Switzerland
Junuk Lee United States
David J. Ottenheimer United States
Kayo Nishizawa Japan
Weston Fleming United States
Joshua P Taliaferro United States
Takemasa Satoh Japan
Beatrice K. Leung Australia
Eran Lottem Israel
Daniel S. Wheeler United States
Lauren E. Mueller relative to Alessandra Lintas Switzerland Alessandra Lintas's profile →
Citations per field
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Alessandra Lintas · 1×
Citations per year

Countries citing papers authored by Lauren E. Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Lauren E. Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017204
2 202055
3 201549
4 201637
5 202135
6 201933
7 201728
8 202324
9 201219
10 20157
11 20246
12 20245
13 20204
14 20224
15 20142
16 20222
17 20232
18 20242
19 20242
20 20241

About Lauren E. Mueller

Lauren E. Mueller is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Sensory Systems, Developmental Neuroscience and Biochemistry, having authored 21 papers that have together received 522 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (10 papers), Neural and Behavioral Psychology Studies (3 papers), Hearing Loss and Rehabilitation (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers), Adrenal and Paraganglionic Tumors (1 paper), Hereditary Neurological Disorders (1 paper), Multiple and Secondary Primary Cancers (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (298 citations), Cognitive Neuroscience (170 citations), Developmental Neuroscience (11 citations), General Decision Sciences (8 citations) and Neurology (28 citations). Lauren E. Mueller has collaborated with scholars based in United States, Egypt and Australia. Frequent co-authors include Geoffrey M. Schoenbaum, Melissa J. Sharpe, Hannah M. Batchelor, Chun Yun Chang, Yael Niv, Joshua L. Jones, Melissa A. Liu, David Dietz, Amy M. Gancarz and Rachael L. Neve. Their work appears in journals such as Nature Neuroscience, Nature Communications, JAMA Otolaryngology–Head & Neck Surgery, Behavioural Brain Research and Neuroscience Research.

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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