Prashant Sharma
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
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- Nanoparticle-Based Drug Delivery
Papers in
-
- Viral gastroenteritis research and epidemiology 2
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- Immunotherapy and Immune Responses 4
- Co-authors
- Nam‐Hyuk Cho (9 shared papers)Young Keun Kim (7 shared papers)Mario Otto (1 shared paper)Bum Chul Park (6 shared papers)Yuri Kim (3 shared papers)Myung‐Sik Choi (2 shared papers)Gwanghun Kim (1 shared paper)Yu Jin Kim (3 shared papers)
- Journals
- Nanoscale (2 papers)Advanced Functional Materials (2 papers)PLoS ONE (1 paper)Pharmaceutics (1 paper)Bioactive Materials (1 paper)
- Partner nations
- South KoreaIndiaUnited States
In The Last Decade
Prashant Sharma
19 papers receiving 344 citations
Peers
Comparison fields: 5 of 80
- Parasitology 43
- Biomaterials 57
- Immunology 80
- Infectious Diseases 52
- Biomedical Engineering 120
Countries citing papers authored by Prashant Sharma
This map shows the geographic impact of Prashant 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 Prashant Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Sharma more than expected).
Fields of papers citing papers by Prashant Sharma
This network shows the impact of papers produced by Prashant 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 Prashant Sharma. The network helps show where Prashant Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashant 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 | 46 | |
| 2 | 2019 | 43 | |
| 3 | 2019 | 36 | |
| 4 | 2023 | 36 | |
| 5 | 2016 | 35 | |
| 6 | 2014 | 33 | |
| 7 | 2021 | 25 | |
| 8 | 2016 | 24 | |
| 9 | 2017 | 24 | |
| 10 | 2022 | 14 | |
| 11 | 2018 | 9 | |
| 12 | 1989 | 8 | |
| 13 | 2012 | 7 | |
| 14 | 2009 | 5 | |
| 15 | 2009 | 5 | |
| 16 | 2018 | 4 | |
| 17 | Detection of Equine Herpesvirus Infection: Sensitivity Assay of Polymerase Chain Reaction | 2012 | 3 |
| 18 | Immunological response of RM/65 sheep-pox vaccine in lambs | 1987 | 1 |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About Prashant Sharma
Prashant Sharma is a scholar working on Infectious Diseases, Immunology, Biomedical Engineering, Animal Science and Zoology and Microbiology, having authored 20 papers that have together received 360 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Immunotherapy and Immune Responses (4 papers), Animal Virus Infections Studies (3 papers), Mosquito-borne diseases and control (2 papers), Antenna Design and Analysis (2 papers), Advanced Antenna and Metasurface Technologies (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Parasitology (43 citations), Biomaterials (57 citations), Immunology (80 citations), Infectious Diseases (52 citations) and Biomedical Engineering (120 citations). Prashant Sharma has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Nam‐Hyuk Cho, Young Keun Kim, Mario Otto, Bum Chul Park, Yuri Kim, Myung‐Sik Choi, Gwanghun Kim, Yu Jin Kim, Ik-Sang Kim and Na‐Young Ha. Their work appears in journals such as Nanoscale, Advanced Functional Materials, PLoS ONE, Pharmaceutics and Bioactive Materials.
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.