Anshika Sharma
- Infectious Diseases top 5%
- Molecular Biology
- Epidemiology
- Public Health, Environmental and Occupational Health
- Oncology
- Co-authors
- Sunil K. LalIsra Ahmad FaroukShailendra Narayan SinghSushil KumarG. K. KhullerSadhna SharmaPradeep Kumar SinghAnuradha Sourirajan
- Topics
- SARS-CoV-2 and COVID-19 Research (3 papers)COVID-19 Clinical Research Studies (3 papers)Network Security and Intrusion Detection (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Bacteriology
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Anshika Sharma
31 papers receiving 708 citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Infectious Diseases 257
- Molecular Biology 127
- Epidemiology 97
- Public Health, Environmental and Occupational Health 90
- Oncology 79
Countries citing papers authored by Anshika Sharma
This map shows the geographic impact of Anshika 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 Anshika Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anshika Sharma more than expected).
Fields of papers citing papers by Anshika Sharma
This network shows the impact of papers produced by Anshika 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 Anshika Sharma. The network helps show where Anshika Sharma may publish in the future.
Co-authorship network of co-authors of Anshika Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Anshika Sharma. A scholar is included among the top collaborators of Anshika Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anshika Sharma. Anshika Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 8 | |
| 8 | COVID-19: A Review on the Novel Coronavirus Disease Evolution, Transmission, Detection, Control and Preventionbreakdown → | 356 |
| 9 | 10 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 32 | |
| 13 | Formulation and evaluation of wild apricot kernel oil based massage cream | 8 |
| 14 | 3 | |
| 15 | 69 | |
| 16 | 17 | |
| 17 | Review on Wireless Controlled Spy Robot | 0 |
| 18 | 19 | |
| 19 | 25 | |
| 20 | 14 |
About Anshika Sharma
Anshika Sharma is a scholar working on Infectious Diseases, Neurology and Modeling and Simulation, having authored 34 papers that have together received 737 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Infectious Diseases (257 citations), Modeling and Simulation (50 citations) and General Dentistry (9 citations). Anshika Sharma has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Sunil K. Lal, Isra Ahmad Farouk, Shailendra Narayan Singh, Sushil Kumar, G. K. Khuller, Sadhna Sharma, Pradeep Kumar Singh, Anuradha Sourirajan, Kamal Dev and Rajan Rolta. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bacteriology.
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.