Arpit Sharma

923 citations
19 papers · 610 indexed · h-index 11
Topics
Mitochondrial Function and Pathology (4 papers)Genetics, Aging, and Longevity in Model Organisms (4 papers)Adipose Tissue and Metabolism (3 papers)

In The Last Decade

Arpit Sharma

16 papers receiving 599 citations

Peers

Arpit Sharma
Comparison fields: 5 of 96
  • Molecular Biology 396
  • Physiology 175
  • Epidemiology 75
  • Cancer Research 69
  • Aging 51
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Brandon Berry United States
Christina Ploumi Greece
Luciano Galdieri United States
Shaohui Jia China
Juan Diego Hernández‐Camacho Spain
Arkan Abadi Canada
Shohei Murakami Japan
Yuhei Mizunoe Japan
Michal K. Handzlik United States
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Citations per field
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Countries citing papers authored by Arpit Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Arpit Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpit Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Arpit Sharma. A scholar is included among the top collaborators of Arpit Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arpit Sharma. Arpit Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 2
3 10
4 22
5 1
6 10
7 0
8 56
9 8
10 61
11 22
12 149
13 39
14
Preparation, characterization and hypocholesterolemic effect of sodium alginate encapsulated lab isolate
1
15 14
16
Anti-cancerous effect of linoleic acid and conjugated linoleic acid on hepaticcancer cells and histocytic lymphoma cells: In vitro
4
17 177
18
Antioxidant activity of native and micropropagated Tylophora Indica leavesextract: A comparative study
3
19
Lipase from Bacillus pumilus RK31: Production, Purification and Some Properties
31

About Arpit Sharma

Arpit Sharma is a scholar working on Aging, Rehabilitation and Geriatrics and Gerontology, having authored 19 papers that have together received 610 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Aging (51 citations), Clinical Biochemistry (48 citations) and Physiology (175 citations). Arpit Sharma has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include William B. Mair, Pallas Yao, Eric B. Taylor, Alvin D. Pewa, Lalita Oonthonpan, Lawrence R. Gray, Adam J. Rauckhorst, Ryan D. Sheldon, Jared Rutter and Shawn C. Burgess. Their work appears in journals such as Science, Journal of Biological Chemistry and PLoS ONE.

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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