Savitha Kalidas
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA Interference and Gene Delivery
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Insect Resistance and Genetics
Papers in
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- RNA Interference and Gene Delivery 4
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
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- Trypanosoma species research and implications 4
- Co-authors
- Dean P. Smith (5 shared papers)Qinghua Liu (3 shared papers)Fenghe Du (1 shared paper)Hyun-Eui Kim (1 shared paper)Xiaodong Wang (1 shared paper)Tim Rand (1 shared paper)Xiang Liu (1 shared paper)Feng Jiang (1 shared paper)
- Journals
- The FASEB Journal (1 paper)Mechanisms of Development (1 paper)Neuron (1 paper)Acta Neuropathologica (1 paper)Science (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Savitha Kalidas
12 papers receiving 984 citations
Savitha Kalidas's Hit Papers
Peers
Comparison fields: 5 of 62
- Cancer Research 172
- Molecular Biology 733
- Aging 17
- Insect Science 98
- Immunology 132
Countries citing papers authored by Savitha Kalidas
This map shows the geographic impact of Savitha Kalidas'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 Savitha Kalidas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Savitha Kalidas more than expected).
Fields of papers citing papers by Savitha Kalidas
This network shows the impact of papers produced by Savitha Kalidas. 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 Savitha Kalidas. The network helps show where Savitha Kalidas may publish in the future.
Co-authors
The 23 scholars most cited alongside Savitha Kalidas, 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 | R2D2, a Bridge Between the Initiation and Effector Steps of the Drosophila RNAi Pathway Hit paper breakdown → | 2003 | 541 |
| 2 | 2002 | 176 | |
| 3 | 2006 | 133 | |
| 4 | 2013 | 31 | |
| 5 | Evaluation of nymphicidal and ovicidal effect of a seaweed, Padina pavonica (Linn.) (Phaeophyceae) on cotton pest, Dysdercus cingulatus (Fab.) | 2011 | 25 |
| 6 | 2011 | 23 | |
| 7 | 2014 | 23 | |
| 8 | 2008 | 18 | |
| 9 | 2003 | 11 | |
| 10 | 2005 | 7 | |
| 11 | 2000 | 6 | |
| 12 | 2012 | 1 |
About Savitha Kalidas
Savitha Kalidas is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Cell Biology and Genetics, having authored 12 papers that have together received 995 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (4 papers), RNA Interference and Gene Delivery (4 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Cellular transport and secretion (2 papers), Viral Infections and Immunology Research (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (172 citations), Molecular Biology (733 citations), Aging (17 citations), Insect Science (98 citations) and Immunology (132 citations). Savitha Kalidas has collaborated with scholars based in United States and India. Frequent co-authors include Dean P. Smith, Qinghua Liu, Fenghe Du, Hyun-Eui Kim, Xiaodong Wang, Tim Rand, Xiang Liu, Feng Jiang, Margaret A. Phillips and K. Sahayaraj. Their work appears in journals such as The FASEB Journal, Mechanisms of Development, Neuron, Acta Neuropathologica and Science.
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.