K. Reddisiva Prasanth
- Infectious Diseases top 5%
- Viral Infections and Vectors 3
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- Mosquito-borne diseases and control 4
- Endocrinology top 5%
- Plant and Fungal Interactions Research 5
- Insect Science top 5%
- Insect-Plant Interactions and Control 3
- Virology top 10%
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- Plant Virus Research Studies 12
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- Viral Infections and Immunology Research 5
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- CRISPR and Genetic Engineering 4
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- Virus-based gene therapy research 2
- Co-authors
- Peter D. NagyShelton S. BradrickMariano A. García-BlancoRafael K. CamposNicholas J. BarrowsChing-Kai ChuangKuo‐Chieh LiaoRubén Soto-Acosta
- Partner nations
- United StatesSingaporeSpain
In The Last Decade
K. Reddisiva Prasanth
15 papers receiving 962 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Infectious Diseases 394
- Public Health, Environmental and Occupational Health 526
- Endocrinology 79
- Insect Science 156
- Virology 55
Countries citing papers authored by K. Reddisiva Prasanth
This map shows the geographic impact of K. Reddisiva Prasanth'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 K. Reddisiva Prasanth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Reddisiva Prasanth more than expected).
Fields of papers citing papers by K. Reddisiva Prasanth
This network shows the impact of papers produced by K. Reddisiva Prasanth. 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 K. Reddisiva Prasanth. The network helps show where K. Reddisiva Prasanth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside K. Reddisiva Prasanth, 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 | 2021 | 17 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 5 | |
| 4 | 2020 | 20 | |
| 5 | 2020 | 27 | |
| 6 | Biochemistry and Molecular Biology of Flavivirusesbreakdown → | 2018 | 232 |
| 7 | 2017 | 29 | |
| 8 | 2017 | 51 | |
| 9 | A Screen of FDA-Approved Drugs for Inhibitors of Zika Virus Infectionbreakdown → | 2016 | 370 |
| 10 | 2016 | 50 | |
| 11 | 2016 | 16 | |
| 12 | 2015 | 28 | |
| 13 | 2014 | 17 | |
| 14 | 2012 | 41 | |
| 15 | 2011 | 71 |
About K. Reddisiva Prasanth
K. Reddisiva Prasanth is a scholar working on Endocrinology, Insect Science and Plant Science, having authored 15 papers that have together received 976 indexed citations. Recurring topics across this work include Plant Virus Research Studies (12 papers), Viral Infections and Immunology Research (5 papers), Plant and Fungal Interactions Research (5 papers), CRISPR and Genetic Engineering (4 papers), Mosquito-borne diseases and control (4 papers), Viral Infections and Vectors (3 papers), Insect-Plant Interactions and Control (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Infectious Diseases (394 citations), Public Health, Environmental and Occupational Health (526 citations) and Endocrinology (79 citations). K. Reddisiva Prasanth has collaborated with scholars based in United States, Singapore and Spain. Frequent co-authors include Peter D. Nagy, Shelton S. Bradrick, Mariano A. García-Blanco, Rafael K. Campos, Nicholas J. Barrows, Ching-Kai Chuang, Kuo‐Chieh Liao, Rubén Soto-Acosta, October M. Sessions and Julien Pompon. Their work appears in journals such as Chemical Reviews, Journal of Virology and Cell Host & Microbe.
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.