Pooja Rao

2.8k citations
14 papers · 1.8k indexed · 1 hit paper · h-index 10
Topics
Extracellular vesicles in disease (3 papers)MicroRNA in disease regulation (3 papers)Machine Learning in Healthcare (2 papers)

In The Last Decade

Pooja Rao

13 papers receiving 1.8k citations

Hit Papers

Deep learning algorithms for detection of critical findin...20182026202020232018200400600

Peers

Pooja Rao
Comparison fields: 5 of 146
  • Molecular Biology 663
  • Radiology, Nuclear Medicine and Imaging 397
  • Cancer Research 350
  • Artificial Intelligence 250
  • Epidemiology 224
Replace Feng Zheng with:
Feng Zheng China
Joeky T. Senders Netherlands
Ivana Malenica United States
Stephen R. Master United States
Asgeir Store Jakola Sweden
Seung Hoan Choi United States
Carina Marí Aparici United States
Balaji Tamarappoo United States
Liping Huang United States
Pooja Rao relative to Feng Zheng China Feng Zheng's profile →
Citations per field
00.5×4.9×
Feng Zheng · 1×
Citations per year

Countries citing papers authored by Pooja Rao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Pooja Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Pooja Rao. A scholar is included among the top collaborators of Pooja Rao 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 Pooja Rao. Pooja Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 7
2 51
3 143
4
Deep learning algorithms for detection of critical findings in head CT scans: a retrospective studybreakdown →
626
5 7
6 159
7 26
8 3
9 29
10 171
11 28
12 268
13 290
14
ERRORS OF SUPERVISED CLASSIFICATION TECHNIQUES ON REAL WORLD PROBLEMS
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) and Machine Learning in Healthcare (2 papers). 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.

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