Shalini Sharma
- Immunology top 2%
- Immune Cell Function and Interaction 8
- Virology top 5%
- Poxvirus research and outbreaks 7
- Infectious Diseases top 5%
- Epidemiology top 5%
- Herpesvirus Infections and Treatments 7
- Mycobacterium research and diagnosis 6
- Virology and Viral Diseases 4
- Drug Discovery top 5%
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- Drug Solubulity and Delivery Systems 6
- Advanced Drug Delivery Systems 6
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- Virus-based gene therapy research 4
- Co-authors
- Barry T. RousePaul G. ThomasSanjay BaruaBhupendra Nath TripathiNaveen KumarAmol SuryawanshiShoor Vir SinghKundan Kumar Chaubey
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Shalini Sharma
53 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 1.1k
- Virology 173
- Infectious Diseases 490
- Epidemiology 896
- Drug Discovery 3
Countries citing papers authored by Shalini Sharma
This map shows the geographic impact of Shalini 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 Shalini Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shalini Sharma more than expected).
Fields of papers citing papers by Shalini Sharma
This network shows the impact of papers produced by Shalini 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 Shalini Sharma. The network helps show where Shalini Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shalini 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 2 | |
| 11 | 2020 | 42 | |
| 12 | 2019 | 33 | |
| 13 | Quantifiable predictive features define epitope-specific T cell receptor repertoiresbreakdown → | 2017 | 520 |
| 14 | 2016 | 41 | |
| 15 | 2014 | 21 | |
| 16 | 2014 | 57 | |
| 17 | 2013 | 25 | |
| 18 | 2012 | 90 | |
| 19 | 1994 | 42 | |
| 20 | 1989 | 44 |
About Shalini Sharma
Shalini Sharma is a scholar working on Virology, Pharmaceutical Science and Immunology, having authored 56 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Herpesvirus Infections and Treatments (7 papers), Poxvirus research and outbreaks (7 papers), Drug Solubulity and Delivery Systems (6 papers), Mycobacterium research and diagnosis (6 papers), Advanced Drug Delivery Systems (6 papers), Virus-based gene therapy research (4 papers) and Virology and Viral Diseases (4 papers). The work is most often cited by research in Immunology (1.1k citations), Virology (173 citations) and Infectious Diseases (490 citations). Shalini Sharma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Barry T. Rouse, Paul G. Thomas, Sanjay Barua, Bhupendra Nath Tripathi, Naveen Kumar, Amol Suryawanshi, Naveen Kumar, Shoor Vir Singh, Kundan Kumar Chaubey and Hinh Ly. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.