Arpit Sharma
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
-
- Mitochondrial Function and Pathology 4
- Metabolism, Diabetes, and Cancer 1
-
- Adipose Tissue and Metabolism 3
- Co-authors
- William B. Mair (5 shared papers)Pallas Yao (1 shared paper)Eric B. Taylor (4 shared papers)Adam J. Rauckhorst (2 shared papers)Lalita Oonthonpan (2 shared papers)Lawrence R. Gray (2 shared papers)Alvin D. Pewa (2 shared papers)Ryan D. Sheldon (2 shared papers)
- Journals
- Cell Metabolism (1 paper)AAPS PharmSciTech (1 paper)PLoS Genetics (1 paper)Nature Aging (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Arpit Sharma
16 papers receiving 599 citations
Peers
Comparison fields: 5 of 96
- Aging 51
- Clinical Biochemistry 48
- Physiology 175
- Molecular Biology 396
- Biochemistry 41
Countries citing papers authored by Arpit Sharma
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
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-authors
The 25 scholars most cited alongside Arpit Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 177 | |
| 2 | 2019 | 149 | |
| 3 | 2019 | 61 | |
| 4 | 2020 | 56 | |
| 5 | 2018 | 39 | |
| 6 | Lipase from Bacillus pumilus RK31: Production, Purification and Some Properties | 2012 | 31 |
| 7 | 2022 | 22 | |
| 8 | 2019 | 22 | |
| 9 | 2016 | 14 | |
| 10 | 2021 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2020 | 8 | |
| 13 | Anti-cancerous effect of linoleic acid and conjugated linoleic acid on hepaticcancer cells and histocytic lymphoma cells: In vitro | 2015 | 4 |
| 14 | Antioxidant activity of native and micropropagated Tylophora Indica leavesextract: A comparative study | 2013 | 3 |
| 15 | 2023 | 2 | |
| 16 | Preparation, characterization and hypocholesterolemic effect of sodium alginate encapsulated lab isolate | 2017 | 1 |
| 17 | 2022 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2021 | 0 |
About Arpit Sharma
Arpit Sharma is a scholar working on Molecular Biology, Physiology, Aging, Rehabilitation and Biomaterials, having authored 19 papers that have together received 610 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Mitochondrial Function and Pathology (4 papers), Adipose Tissue and Metabolism (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Wound Healing and Treatments (2 papers), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Phytochemistry and biological activities of Ficus species (1 paper). The work is most often cited by research in Aging (51 citations), Clinical Biochemistry (48 citations), Physiology (175 citations), Molecular Biology (396 citations) and Biochemistry (41 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, Adam J. Rauckhorst, Lalita Oonthonpan, Lawrence R. Gray, Alvin D. Pewa, Ryan D. Sheldon, Rasheda Sultana and Xiaorong Fu. Their work appears in journals such as Cell Metabolism, AAPS PharmSciTech, PLoS Genetics, Nature Aging and Cell Reports.
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.