Stephen G. Volsen

2.3k citations
31 papers · 1.8k indexed · h-index 23

Stephen G. Volsen

31 papers receiving 1.8k citations

Peers

Stephen G. Volsen
Comparison fields: 5 of 92
  • Cellular and Molecular Neuroscience 1.1k
  • Molecular Biology 1.4k
  • Neurology 118
  • Developmental Neuroscience 58
  • Cognitive Neuroscience 257
Replace Erika S. Piedras-Renterı́a with:
Erika S. Piedras-Renterı́a United States
Yury D. Bogdanov United Kingdom
Rachel D. Groth United States
David Lau United States
Thomas Munsch Germany
Patrick Meuth Germany
Jorge Flores‐Hernández Mexico
Manja Schubert Germany
Yarimar Carrasquillo United States
Evanthia Nanou United States
Stephen G. Volsen relative to Erika S. Piedras-Renterı́a United States Erika S. Piedras-Renterı́a's profile →
Citations per field
00.5×1.6×
Erika S. Piedras-Renterı́a · 1×
Citations per year

Countries citing papers authored by Stephen G. Volsen

Since Specialization
Citations

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

Fields of papers citing papers by Stephen G. Volsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen G. Volsen. 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 Stephen G. Volsen. The network helps show where Stephen G. Volsen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200424
2 200369
3 200327
4 200273
5 2001112
6 200044
7 200033
8 2000295
9 200034
10 199932
11 199970
12 1999105
13 19981
14 199740
15 199710
16 199729
17 199598
18 19898
19 19878
20 19843

About Stephen G. Volsen

Stephen G. Volsen is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Molecular Biology, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (20 papers), Neuroscience and Neuropharmacology Research (15 papers), Nicotinic Acetylcholine Receptors Study (13 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Neuroscience and Neural Engineering (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Hearing, Cochlea, Tinnitus, Genetics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Molecular Biology (1.4k citations) and Neurology (118 citations). Stephen G. Volsen has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Robert Beattie, Peter J. Craig, Daniela Pietrobon, Angelita Tottene, William K. Smith, Elaine K. Perry, Yasuo Mori, Véronique Cornet, Delphine Bichet and J.A. Court. Their work appears in journals such as Neuron, Journal of Neuroscience and American Journal of Psychiatry.

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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