Ashish K. Sharma
- Toxicology top 5%
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- Viral Infectious Diseases and Gene Expression in Insects 8
- Microbial Metabolic Engineering and Bioproduction 5
- RNA and protein synthesis mechanisms 4
- CRISPR and Genetic Engineering 3
- Machine Learning in Bioinformatics 2
- Protein Structure and Dynamics 2
- Ophthalmology top 5%
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- Bacterial Genetics and Biotechnology 7
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- Spectroscopy Techniques in Biomedical and Chemical Research 2
- Co-authors
- Bärbel RohrerKrishna Jyoti MukherjeeHeather R. LohrPeramaiyan RajendranGautam SethiMuthu K. ShanmugamTaher AbbasiShweta Kapoor
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Ashish K. Sharma
23 papers receiving 861 citations
Peers
Comparison fields: 5 of 89
- Toxicology 56
- Molecular Biology 678
- Ophthalmology 85
- Complementary and alternative medicine 64
- Oncology 136
Countries citing papers authored by Ashish K. Sharma
This map shows the geographic impact of Ashish K. 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 Ashish K. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish K. Sharma more than expected).
Fields of papers citing papers by Ashish K. Sharma
This network shows the impact of papers produced by Ashish K. 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 Ashish K. Sharma. The network helps show where Ashish K. Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ashish K. 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 12 | |
| 5 | 2020 | 8 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 18 | |
| 9 | 2018 | 9 | |
| 10 | 2018 | 3 | |
| 11 | 2017 | 9 | |
| 12 | 2014 | 76 | |
| 13 | 2011 | 20 | |
| 14 | 2011 | 122 | |
| 15 | 2011 | 12 | |
| 16 | 2011 | 121 | |
| 17 | 2010 | 122 | |
| 18 | 2007 | 57 | |
| 19 | 2006 | 124 | |
| 20 | 2004 | 13 |
About Ashish K. Sharma
Ashish K. Sharma is a scholar working on Biophysics, Genetics and Molecular Biology, having authored 24 papers that have together received 869 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (8 papers), Bacterial Genetics and Biotechnology (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), RNA and protein synthesis mechanisms (4 papers), CRISPR and Genetic Engineering (3 papers), Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). The work is most often cited by research in Toxicology (56 citations), Molecular Biology (678 citations) and Ophthalmology (85 citations). Ashish K. Sharma has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Bärbel Rohrer, Krishna Jyoti Mukherjee, Heather R. Lohr, Peramaiyan Rajendran, Gautam Sethi, Muthu K. Shanmugam, Taher Abbasi, Shweta Kapoor, Shireen Vali and Alan Prem Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Clinical Cancer 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.