Sarah E. Street

2.0k citations
15 papers · 746 · h-index 12

Impact in

    • Ion Channels and Receptors
  • Physiology top 5%
    • Pain Mechanisms and Treatments
    • Adenosine and Purinergic Signaling

Papers in

Sarah E. Street

15 papers receiving 723 citations

Peers

Sarah E. Street
Comparison fields: 5 of 109
  • Sensory Systems 97
  • Physiology 59
  • Cellular and Molecular Neuroscience 212
  • Physiology 201
  • Dermatology 49
Replace Takao Kumazawa with:
Takao Kumazawa Japan
Tangül Şan Türkiye
Jacqueline A. Harrison United States
Michel R. Corboz United States
Koichi Ogawa Japan
Rosa Antonijoan Spain
Lucio Giordano Italy
Maria Anagnostouli Greece
Antonia Todorova Germany
Sarah E. Street relative to Takao Kumazawa Japan Takao Kumazawa's profile →
Citations per field
00.5×11×
Takao Kumazawa · 1×
Citations per year

Countries citing papers authored by Sarah E. Street

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Street

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2013205
2 2014115
3 198376
4 201460
5 201054
6 200453
7 201150
8 202130
9 200725
10 200423
11 199922
12 201414
13 20159
14 20108
15 20142

About Sarah E. Street

Sarah E. Street is a scholar working on Cellular and Molecular Neuroscience, Physiology, Cognitive Neuroscience, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 746 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (2 papers), Neuropeptides and Animal Physiology (2 papers), Innovations in Medical Education (2 papers), EEG and Brain-Computer Interfaces (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Hearing Loss and Rehabilitation (1 paper). The work is most often cited by research in Sensory Systems (97 citations), Physiology (59 citations), Cellular and Molecular Neuroscience (212 citations), Physiology (201 citations) and Dermatology (49 citations). Sarah E. Street has collaborated with scholars based in United States, Italy and Finland. Frequent co-authors include Bonnie Taylor‐Blake, Mark J. Zylka, Eric S. McCoy, Alaine L. Pribisko, Jihong Zheng, Mark J. Zylka, Kenneth D. Royal, Kurt O. Gilliland, Cheryl B. McNeil and Nathaniel A. Sowa. Their work appears in journals such as Neuron, Molecular Pain, Tetrahedron Letters, Journal of Neurophysiology and Journal of Neuroscience.

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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