Nansie S. Sharpless

2.0k citations
55 papers · 1.6k indexed · h-index 23

Nansie S. Sharpless

53 papers receiving 1.5k citations

Peers

Nansie S. Sharpless
Comparison fields: 5 of 102
  • Cellular and Molecular Neuroscience 899
  • Pharmacology 359
  • Neurology 289
  • Behavioral Neuroscience 65
  • Psychiatry and Mental health 223
Replace M. Trabucchi with:
M. Trabucchi Italy
Vimala H. Sethy United States
Herbert H. Schneider Germany
H.C. Guldberg Norway
A. Groppetti Italy
M J Turnbull United Kingdom
A. Revuelta United States
B.H.C. Westerink Netherlands
P. F. VON VOIGTLANDER United States
K. Kuschinsky Germany
Nansie S. Sharpless relative to M. Trabucchi Italy M. Trabucchi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nansie S. Sharpless

Since Specialization
Citations

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

Fields of papers citing papers by Nansie S. Sharpless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nansie S. Sharpless. 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 Nansie S. Sharpless. The network helps show where Nansie S. Sharpless may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19899
2 198911
3 1988112
4 19841
5 198384
6 198243
7 198149
8 19815
9 197925
10 197812
11 197841
12 197822
13 1977106
14
Clinical and metabolic observations on the treatment of myoclonus with L-5-HTP and carbidopa.
19769
15 197426
16 197413
17 19720
18 19704
19
Immunoglobulin levels in serum of normal infants and preschool children as determined by immunochemical analysis.
19675
20
A Standardized Immunochemical Method For Quantitative Determination Of The Immunoglobulins In Serum
196512

About Nansie S. Sharpless

Nansie S. Sharpless is a scholar working on Cellular and Molecular Neuroscience, Neurology and Behavioral Neuroscience, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (12 papers), Neuroscience and Neuropharmacology Research (12 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Neurological disorders and treatments (11 papers), Receptor Mechanisms and Signaling (7 papers), Genetic Neurodegenerative Diseases (4 papers), Epilepsy research and treatment (4 papers) and Neurological diseases and metabolism (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (899 citations), Pharmacology (359 citations) and Neurology (289 citations). Nansie S. Sharpless has collaborated with scholars based in United States, Israel and Tunisia. Frequent co-authors include L. J. Thal, Paula Altman Fuld, David Masur, Maynard H. Makman, Jerome Engel, Leon J. Thal, Leslie Wolfson, Gertrude M. Tyce, Solomon L. Moshé and Manfred D. Muenter. Their work appears in journals such as Science, Neurology and Annals of Neurology.

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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