Ankush Sharma
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Bioinformatics and Genomic Networks 4
- Pluripotent Stem Cells Research 1
- Epigenetics and DNA Methylation 1
- Heat shock proteins research 1
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- Lymphoma Diagnosis and Treatment 2
- Co-authors
- Amit K. Goyal (2 shared papers)Goutam Rath (2 shared papers)Giovanni Colonna (6 shared papers)Susan Costantini (5 shared papers)Raffaele Raucci (3 shared papers)Giuseppe Castello (2 shared papers)M. Mazen Jamal (1 shared paper)Chandana G. Lall (3 shared papers)
- Journals
- Blood (2 papers)iScience (2 papers)Blood Advances (1 paper)Matrix Biology (1 paper)Journal of drug targeting (1 paper)
- Partner nations
- United StatesNorwayItaly
In The Last Decade
Ankush Sharma
38 papers receiving 857 citations
Peers
Comparison fields: 5 of 76
- Geriatrics and Gerontology 40
- Biomaterials 81
- Pharmaceutical Science 19
- Materials Chemistry 76
- Gastroenterology 12
Countries citing papers authored by Ankush Sharma
This map shows the geographic impact of Ankush 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 Ankush Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankush Sharma more than expected).
Fields of papers citing papers by Ankush Sharma
This network shows the impact of papers produced by Ankush 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 Ankush Sharma. The network helps show where Ankush Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankush 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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 289 | |
| 2 | 2012 | 108 | |
| 3 | 2014 | 77 | |
| 4 | 2013 | 53 | |
| 5 | 2022 | 38 | |
| 6 | 2019 | 36 | |
| 7 | 2013 | 34 | |
| 8 | 2012 | 31 | |
| 9 | 2018 | 22 | |
| 10 | 2023 | 21 | |
| 11 | 2013 | 20 | |
| 12 | 2017 | 18 | |
| 13 | 2017 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 2016 | 12 | |
| 17 | 2021 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2021 | 8 |
About Ankush Sharma
Ankush Sharma is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Immunology, Geriatrics and Gerontology and Human Factors and Ergonomics, having authored 38 papers that have together received 884 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Bariatric Surgery and Outcomes (2 papers), T-cell and B-cell Immunology (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Pluripotent Stem Cells Research (1 paper), Epigenetics and DNA Methylation (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Geriatrics and Gerontology (40 citations), Biomaterials (81 citations), Pharmaceutical Science (19 citations), Materials Chemistry (76 citations) and Gastroenterology (12 citations). Ankush Sharma has collaborated with scholars based in United States, Norway and Italy. Frequent co-authors include Amit K. Goyal, Goutam Rath, Giovanni Colonna, Susan Costantini, Raffaele Raucci, Giuseppe Castello, M. Mazen Jamal, Chandana G. Lall, Roozbeh Houshyar and Rajesh Gulati. Their work appears in journals such as Blood, iScience, Blood Advances, Matrix Biology and Journal of drug targeting.
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.