Sharada Rai

262 total papers · 1.1k total citations
61 papers, 689 citations indexed

About

Sharada Rai is a scholar working on Public Health, Environmental and Occupational Health, Surgery and Molecular Biology. According to data from OpenAlex, Sharada Rai has authored 61 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 8 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Sharada Rai's work include Digital Imaging for Blood Diseases (5 papers), Innovations in Medical Education (5 papers) and AI in cancer detection (3 papers). Sharada Rai is often cited by papers focused on Digital Imaging for Blood Diseases (5 papers), Innovations in Medical Education (5 papers) and AI in cancer detection (3 papers). Sharada Rai collaborates with scholars based in India, United States and Bulgaria. Sharada Rai's co-authors include Maryse Lapeyre‐Mestre, Christine Brefel, Jean‐Louis Montastruc, O. Rascol, A Rascol, Jean‐Michel Sénard, Bola Sadashiva Satish Rao, Ramadas Naik, Srinivas Mutalik and N Udupa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nanoscale and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Sharada Rai

53 papers receiving 658 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sharada Rai 218 182 88 77 65 61 689
Fareed Jumah 203 0.9× 159 0.9× 62 0.7× 61 0.8× 35 0.5× 61 608
Adolfo Paolin 122 0.6× 343 1.9× 56 0.6× 92 1.2× 90 1.4× 45 734
Shogo Nishi 274 1.3× 186 1.0× 69 0.8× 119 1.5× 21 0.3× 55 730
Connor Wathen 133 0.6× 110 0.6× 89 1.0× 117 1.5× 20 0.3× 54 705
Laura Donaldson 111 0.5× 82 0.5× 61 0.7× 110 1.4× 16 0.2× 50 554
Maria Kyriazi 73 0.3× 191 1.0× 85 1.0× 82 1.1× 21 0.3× 64 652
Markus J. Bookland 185 0.8× 222 1.2× 47 0.5× 109 1.4× 16 0.2× 49 681
Louise Strande 59 0.3× 221 1.2× 42 0.5× 180 2.3× 28 0.4× 36 702
Fei Cao 136 0.6× 104 0.6× 76 0.9× 182 2.4× 12 0.2× 54 610
K Kinoshita 46 0.2× 135 0.7× 99 1.1× 120 1.6× 153 2.4× 59 667

Countries citing papers authored by Sharada Rai

Since Specialization
Citations

This map shows the geographic impact of Sharada Rai'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 Sharada Rai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharada Rai more than expected).

Fields of papers citing papers by Sharada Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharada Rai. 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 Sharada Rai. The network helps show where Sharada Rai may publish in the future.

Co-authorship network of co-authors of Sharada Rai

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

All Works

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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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2026