Charlene Supnet

1.9k citations
23 papers · 1.1k · h-index 15

Impact in

Papers in

Charlene Supnet

22 papers receiving 1.0k citations

Peers

Charlene Supnet
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 432
  • Physiology 524
  • Pharmacology 207
  • Biological Psychiatry 27
  • Physiology 46
Replace Shreaya Chakroborty with:
Shreaya Chakroborty United States
Ivan Goussakov United States
Deborah K. Verges United States
Sophie Parmentier‐Batteur United States
Siddhartha Mondragón‐Rodríguez Mexico
Fernando J. Sepúlveda Chile
Antonio Dominguez‐Meijide Spain
Su Qian United States
João Pedro Lopes Portugal
Cynthia Bleiwas United States
Charlene Supnet relative to Shreaya Chakroborty United States Shreaya Chakroborty's profile →
Citations per field
00.5×1.5×
Shreaya Chakroborty · 1×
Citations per year

Countries citing papers authored by Charlene Supnet

Since Specialization
Citations

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

Fields of papers citing papers by Charlene Supnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010254
2 2010122
3 201193
4 200688
5 201183
6 201069
7 201464
8 201162
9 200950
10 201139
11 201534
12 201220
13 201517
14 201615
15 201114
16 201613
17 20219
18 20178
19 20167
20 20102

About Charlene Supnet

Charlene Supnet is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Pharmacology and Neurology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Neuroscience and Neuropharmacology Research (9 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Prion Diseases and Protein Misfolding (2 papers), Genetic Neurodegenerative Diseases (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Healthcare professionals’ stress and burnout (1 paper) and Patient Satisfaction in Healthcare (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (432 citations), Physiology (524 citations), Pharmacology (207 citations), Biological Psychiatry (27 citations) and Physiology (46 citations). Charlene Supnet has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Ilya Bezprozvanny, Omar L. Nelson, Michael Mayne, DaiWai M. Olson, Sonja E. Stutzman, Jun Wu, Jeff Grant, Hong Kong, David Westaway and Xi Chen. Their work appears in journals such as Journal of Alzheimer s Disease, Journal of Biological Chemistry, Cell Calcium, JONA The Journal of Nursing Administration and International Emergency Nursing.

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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