Reetal Pai
Impact in
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- RNA and protein synthesis mechanisms
- Insect Resistance and Genetics
- Protein Structure and Dynamics
- Biochemical and Molecular Research
Papers in
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- Enzyme Structure and Function 5
- X-ray Diffraction in Crystallography 1
- Machine Learning in Materials Science 1
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- Protein Structure and Dynamics 4
- Glycosylation and Glycoproteins Research 2
- Co-authors
- James C. Sacchettini (6 shared papers)Thomas R. Ioerger (6 shared papers)Tod D. Romo (5 shared papers)Kreshna Gopal (4 shared papers)Ralf W. Grosse‐Kunstleve (1 shared paper)Randy J. Read (1 shared paper)Li‐Wei Hung (1 shared paper)Nicholas K. Sauter (1 shared paper)
- Journals
- PLoS ONE (1 paper)Journal of Synchrotron Radiation (1 paper)IEEE Intelligent Systems (1 paper)Bioinformatics (1 paper)Innovative Applications of Artificial Intelligence (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Reetal Pai
7 papers receiving 358 citations
Peers
Comparison fields: 5 of 78
- Virology 20
- Molecular Biology 266
- Insect Science 42
- Structural Biology 3
- Infectious Diseases 33
Countries citing papers authored by Reetal Pai
This map shows the geographic impact of Reetal Pai'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 Reetal Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reetal Pai more than expected).
Fields of papers citing papers by Reetal Pai
This network shows the impact of papers produced by Reetal Pai. 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 Reetal Pai. The network helps show where Reetal Pai may publish in the future.
Co-authors
The 25 scholars most cited alongside Reetal Pai, 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 | 2003 | 289 | |
| 2 | 2014 | 56 | |
| 3 | TEXTAL TM : Artificial Intelligence Techniques for Automated Protein Structure Determination. | 2003 | 5 |
| 4 | 2006 | 4 | |
| 5 | 2006 | 3 | |
| 6 | 2005 | 3 | |
| 7 | Automated Diagnosis of Retinal Images Using Evidential Reasoning | 2001 | 2 |
| 8 | TEXTAL™: automated crystallographic protein structure determination | 2005 | 1 |
About Reetal Pai
Reetal Pai is a scholar working on Materials Chemistry, Molecular Biology, Computational Theory and Mathematics, Physical and Theoretical Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 363 indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Protein Structure and Dynamics (4 papers), Glycosylation and Glycoproteins Research (2 papers), X-ray Diffraction in Crystallography (1 paper), Retinal Imaging and Analysis (1 paper), Computational Drug Discovery Methods (1 paper), Entomopathogenic Microorganisms in Pest Control (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Virology (20 citations), Molecular Biology (266 citations), Insect Science (42 citations), Structural Biology (3 citations) and Infectious Diseases (33 citations). Reetal Pai has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James C. Sacchettini, Thomas R. Ioerger, Tod D. Romo, Kreshna Gopal, Ralf W. Grosse‐Kunstleve, Randy J. Read, Li‐Wei Hung, Nicholas K. Sauter, Laurent C. Storoni and Airlie J. McCoy. Their work appears in journals such as PLoS ONE, Journal of Synchrotron Radiation, IEEE Intelligent Systems, Bioinformatics and Innovative Applications of Artificial Intelligence.
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.