Lavinia Sheets

21 papers receiving 703 citations

Peers

Lavinia Sheets
Comparison fields: 5 of 71
  • Sensory Systems 429
  • Developmental Biology 28
  • Cell Biology 184
  • Neurology 87
  • Cellular and Molecular Neuroscience 137
Replace Weike Mo with:
Weike Mo United States
Jeremy S. Duncan United States
Edmund J. Koundakjian United States
Nicolas Daudet United Kingdom
Rachel A. Dumont United States
Andrea Lelli United States
Shanthini Mahendrasingam United Kingdom
Thomas M. Coate United States
Sarah Pauley United States
Chandrakala Puligilla United States
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Citations per field
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Citations per year

Countries citing papers authored by Lavinia Sheets

Since Specialization
Citations

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

Fields of papers citing papers by Lavinia Sheets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lavinia Sheets, 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 Lavinia Sheets Line = papers co-authored together Lavinia Sheets 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 2011106
2 201289
3 201767
4 200767
5 201657
6 201547
7 201738
8 201837
9 202129
10 202129
11 201724
12 202223
13 202318
14 201416
15 202115
16 202113
17 202112
18 202211
19 20225
20 20244

About Lavinia Sheets

Lavinia Sheets is a scholar working on Sensory Systems, Nutrition and Dietetics, Ocean Engineering, Ecology and Biophysics, having authored 22 papers that have together received 710 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (18 papers), Marine animal studies overview (5 papers), Biochemical Analysis and Sensing Techniques (4 papers), Underwater Vehicles and Communication Systems (4 papers), Plant Molecular Biology Research (3 papers), Hearing Loss and Rehabilitation (3 papers), Zebrafish Biomedical Research Applications (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Sensory Systems (429 citations), Developmental Biology (28 citations), Cell Biology (184 citations), Neurology (87 citations) and Cellular and Molecular Neuroscience (137 citations). Lavinia Sheets has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Teresa A. Nicolson, Katie S. Kindt, Josef G. Trapani, Weike Mo, Nikolaus D. Obholzer, Mark E. Warchol, Eve M. Mellgren, Stephen L. Johnson, Bruce J. Schnapp and David G. Ransom. Their work appears in journals such as Journal of Neuroscience, The Journal of Physiology, Frontiers in Cellular Neuroscience, Frontiers in Cell and Developmental Biology and Journal of the Association for Research in Otolaryngology.

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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