Sharan Paul

1.7k citations
37 papers · 1.2k indexed · h-index 19

Impact in

Papers in

Sharan Paul

35 papers receiving 1.2k citations

Peers

Sharan Paul
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 688
  • Molecular Biology 1.0k
  • Neurology 220
  • Genetics 104
  • Neurology 60
Replace Warunee Dansithong with:
Warunee Dansithong United States
Dobrila D. Rudnicki United States
Marcy R. Weatherspoon United States
Crystal N. Doty Canada
Alice B. Schindler United States
Amar N. Kar United States
Bertha Dominguez United States
Nicholas S. Caron Canada
Lynsey Bilsland United Kingdom
Maria do Carmo Costa United States
Sharan Paul relative to Warunee Dansithong United States Warunee Dansithong's profile →
Citations per field
00.5×1.5×
Warunee Dansithong · 1×
Citations per year

Countries citing papers authored by Sharan Paul

Since Specialization
Citations

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

Fields of papers citing papers by Sharan Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20229
3 202111
4 202113
5 20215
6 202032
7 201820
8 201564
9 201518
10 201233
11 201156
12 2006128
13 200548
14 2004162
15 200420
16 20019
17 200121
18 20012
19 20014
20 19991

About Sharan Paul

Sharan Paul is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Cell Biology and Neurology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (18 papers), Mitochondrial Function and Pathology (12 papers), Amyotrophic Lateral Sclerosis Research (6 papers), RNA Research and Splicing (6 papers), Glycosylation and Glycoproteins Research (4 papers), Muscle Physiology and Disorders (4 papers), CRISPR and Genetic Engineering (4 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (688 citations), Molecular Biology (1.0k citations), Neurology (220 citations), Genetics (104 citations) and Neurology (60 citations). Sharan Paul has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Warunee Dansithong, Sita Reddy, Lucio Comai, Stefan M. Pulst, Daniel R. Scoles, Karla P. Figueroa, Karla P. Figueroa, Thomas S. Otis, Pratap Meera and C. Frank Bennett. Their work appears in journals such as Journal of Biological Chemistry, Human Molecular Genetics, PLoS ONE, Cancer Letters 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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