Paul Sharp

1.7k citations
38 papers · 1.2k · h-index 21

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research
    • Virus-based gene therapy research

Papers in

    • Muscle Physiology and Disorders 4
    • Amyotrophic Lateral Sclerosis Research 8
    • Neuroinflammation and Neurodegeneration Mechanisms 3

Paul Sharp

36 papers receiving 1.2k citations

Peers

Paul Sharp
Comparison fields: 5 of 109
  • Neurology 262
  • Genetics 181
  • Neurology 105
  • Cellular and Molecular Neuroscience 188
  • Biomaterials 114
Replace Elena Fontana with:
Elena Fontana Italy
Johanna Öberg Sweden
Inja Lim South Korea
Hassan Azari Iran
Jacques Borg France
Alessandro Giuliani Italy
Kieren Allinson United Kingdom
Saida Ortolano Spain
Dianshuai Gao China
Paul Sharp relative to Elena Fontana Italy Elena Fontana's profile →
Citations per field
00.5×3.8×
Elena Fontana · 1×
Citations per year

Countries citing papers authored by Paul Sharp

Since Specialization
Citations

This map shows the geographic impact of Paul 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 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 Sharp more than expected).

Fields of papers citing papers by Paul Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015125
2 1987106
3 200889
4 200788
5 201180
6 201076
7 201166
8 201061
9 200457
10 201747
11 197747
12 201946
13 200637
14 201532
15 201032
16 198429
17 198925
18 202124
19 201924
20 201321

About Paul Sharp

Paul Sharp is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Genetics and Biomaterials, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (8 papers), Neurogenetic and Muscular Disorders Research (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Nanoparticle-Based Drug Delivery (4 papers), Muscle Physiology and Disorders (4 papers), Alzheimer's disease research and treatments (3 papers), Virus-based gene therapy research (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Neurology (262 citations), Genetics (181 citations), Neurology (105 citations), Cellular and Molecular Neuroscience (188 citations) and Biomaterials (114 citations). Paul Sharp has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Dominic J. Wells, Jason Berwick, Eva M. Kohner, Mimoun Azzouz, H M Mather, J Lévy, Ian R. Graham, Keith Foster, Viswanathan Mohan and George Dickson. Their work appears in journals such as Scientific Reports, Molecular Therapy, PLoS ONE, 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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