Preeti Sharma
- Molecular Biology
- Infectious Diseases top 5%
- Plant Science top 10%
- Immunology
- Oncology
- Co-authors
- David M. KranzC.N. SrivastavaLalit MohanKui K. ChanJohn M. DyeDanielle E. DoroskyErik ProckoShawn A. Abbasi
- Topics
- Insect Pest Control Strategies (11 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)CAR-T cell therapy research (7 papers)
- Partner nations
- IndiaUnited StatesDenmark
In The Last Decade
Preeti Sharma
40 papers receiving 953 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 381
- Infectious Diseases 324
- Plant Science 204
- Immunology 164
- Oncology 149
Countries citing papers authored by Preeti Sharma
This map shows the geographic impact of Preeti 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 Preeti Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preeti Sharma more than expected).
Fields of papers citing papers by Preeti Sharma
This network shows the impact of papers produced by Preeti 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 Preeti Sharma. The network helps show where Preeti Sharma may publish in the future.
Co-authorship network of co-authors of Preeti Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Sharma. A scholar is included among the top collaborators of Preeti 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 Preeti Sharma. Preeti 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 | 6 | |
| 3 | 11 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 90 | |
| 7 | 2 | |
| 8 | Engineering human ACE2 to optimize binding to the spike protein of SARS coronavirus 2breakdown → | 389 |
| 9 | 9 | |
| 10 | 25 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | SELECTIVE ESTROGEN RECEPTOR MODULATORS; ROLE OF SIDE CHAIN IN ACTIVITY MODULATION | 1 |
| 14 | 5 | |
| 15 | A review on futuristic domain approach for efficient Bacillus thuringiensis (Bt) applications. | 0 |
| 16 | Bioefficacy of chlorpyriphos and temephos against anopheline and culicine larvae | 4 |
| 17 | 15 | |
| 18 | 33 | |
| 19 | 5 | |
| 20 | Relative efficacy of some important plant tissue extracts against Culex larvae | 5 |
About Preeti Sharma
Preeti Sharma is a scholar working on Insect Science, Plant Science and Immunology, having authored 45 papers that have together received 994 indexed citations. Recurring topics across this work include Insect Pest Control Strategies (11 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Infectious Diseases (324 citations), Insect Science (102 citations) and Immunology (164 citations). Preeti Sharma has collaborated with scholars based in India, United States and Denmark. Frequent co-authors include David M. Kranz, C.N. Srivastava, Lalit Mohan, Kui K. Chan, John M. Dye, Danielle E. Dorosky, Erik Procko, Shawn A. Abbasi, Andrew S. Herbert and Pradeep Kumar. Their work appears in journals such as Science, 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.