Pooja Rao
- Health Informatics top 0.5%
- Cancer Research top 5%
- MicroRNA in disease regulation 3
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- COVID-19 diagnosis using AI 2
- Radiomics and Machine Learning in Medical Imaging 1
- Developmental Neuroscience top 10%
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- Extracellular vesicles in disease 3
- Circular RNAs in diseases 2
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- Machine Learning in Healthcare 2
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- Genetic Syndromes and Imprinting 1
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- Renal Transplantation Outcomes and Treatments 1
- Co-authors
- André FischerPrashant WarierRohit GhoshVidur MahajanVasantha Kumar VenugopalSwetha TanamalaNorbert G. CampeauSasank Chilamkurthy
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Pooja Rao
13 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Health Informatics 197
- Cancer Research 350
- Radiology, Nuclear Medicine and Imaging 397
- Developmental Neuroscience 65
- Health Information Management 65
Countries citing papers authored by Pooja Rao
This map shows the geographic impact of Pooja Rao'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 Pooja Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Rao more than expected).
Fields of papers citing papers by Pooja Rao
This network shows the impact of papers produced by Pooja Rao. 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 Pooja Rao. The network helps show where Pooja Rao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pooja Rao, 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 | 7 | |
| 2 | 2019 | 51 | |
| 3 | 2018 | 143 | |
| 4 | Deep learning algorithms for detection of critical findings in head CT scans: a retrospective studybreakdown → | 2018 | 626 |
| 5 | 2018 | 7 | |
| 6 | 2018 | 159 | |
| 7 | 2017 | 26 | |
| 8 | 2017 | 3 | |
| 9 | 2017 | 29 | |
| 10 | 2013 | 171 | |
| 11 | 2012 | 28 | |
| 12 | 2012 | 268 | |
| 13 | 2011 | 290 | |
| 14 | ERRORS OF SUPERVISED CLASSIFICATION TECHNIQUES ON REAL WORLD PROBLEMS | 2010 | 1 |
About Pooja Rao
Pooja Rao is a scholar working on Health Informatics, Family Practice and Transplantation, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (3 papers), Machine Learning in Healthcare (2 papers), Circular RNAs in diseases (2 papers), COVID-19 diagnosis using AI (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Genetic Syndromes and Imprinting (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Health Informatics (197 citations), Cancer Research (350 citations) and Radiology, Nuclear Medicine and Imaging (397 citations). Pooja Rao has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include André Fischer, Prashant Warier, Rohit Ghosh, Vidur Mahajan, Vasantha Kumar Venugopal, Swetha Tanamala, Norbert G. Campeau, Sasank Chilamkurthy, Eva Benito and Farahnaz Sananbenesi. Their work appears in journals such as The Lancet, The EMBO Journal and PLoS ONE.
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.