Paul S. Sharp

1.7k citations
40 papers · 1.4k · h-index 21

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research
    • Virus-based gene therapy research

Papers in

Paul S. Sharp

39 papers receiving 1.3k citations

Peers

Paul S. Sharp
Comparison fields: 5 of 108
  • Neurology 274
  • Genetics 164
  • Neurology 101
  • Cellular and Molecular Neuroscience 183
  • Aging 16
Replace Dong Seok Kim with:
Dong Seok Kim South Korea
Christopher R. Hayworth United States
Ling Chen China
Joanna Lewin‐Kowalik Poland
Taki Tiraihi Iran
Per M. Almqvist Sweden
Adrian Cuda Banda Meedeniya Australia
Salvatore Rinaldi Italy
Talita Glaser Brazil
Paul S. Sharp relative to Dong Seok Kim South Korea Dong Seok Kim's profile →
Citations per field
00.5×1.5×2×
Dong Seok Kim · 1×
Citations per year

Countries citing papers authored by Paul S. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Paul S. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015135
2 1987115
3 2008103
4 200797
5 201188
6 201079
7 201172
8 201065
9 200460
10 197753
11 201751
12 201950
13 200640
14 201039
15 201532
16 198430
17 198930
18 202127
19 201924
20 201322

About Paul S. Sharp

Paul S. Sharp is a scholar working on Neurology, Cellular and Molecular Neuroscience, Biomaterials, Genetics and Neurology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (8 papers), Neurogenetic and Muscular Disorders Research (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Muscle Physiology and Disorders (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Computer Graphics and Visualization Techniques (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Neurology (274 citations), Genetics (164 citations), Neurology (101 citations), Cellular and Molecular Neuroscience (183 citations) and Aging (16 citations). Paul S. Sharp has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Dominic J. Wells, Jason Berwick, EVA MARIA KOHNER, Mimoun Azzouz, Ian R. Graham, Jonathan Cummings Levy, Viswanathan Mohan, Keith Foster, H M Mather and George Dickson. Their work appears in journals such as Scientific Reports, PLoS ONE, Molecular Therapy, Neurobiology of Disease and Hormone and Metabolic Research.

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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