Sheeba J. Sujit

7 papers and 239 indexed citations i.

About

Sheeba J. Sujit is a scholar working on Artificial Intelligence, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sheeba J. Sujit has authored 7 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Pathology and Forensic Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sheeba J. Sujit’s work include AI in cancer detection (4 papers), Ultrasound Imaging and Elastography (3 papers) and Multiple Sclerosis Research Studies (3 papers). Sheeba J. Sujit is often cited by papers focused on AI in cancer detection (4 papers), Ultrasound Imaging and Elastography (3 papers) and Multiple Sclerosis Research Studies (3 papers). Sheeba J. Sujit collaborates with scholars based in United States. Sheeba J. Sujit's co-authors include Refaat E. Gabr, Ponnada A. Narayana, Ivan Coronado, Jerry S. Wolinsky, Fred Lublin, Xiaojun Sun, Arash Kamali, Melvin Robinson, Sushmita Datta and Tina Cascone and has published in prestigious journals such as Radiology, Annals of Oncology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Co-authorship network of co-authors of Sheeba J. Sujit i

Fields of papers citing papers by Sheeba J. Sujit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheeba J. Sujit. 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 Sheeba J. Sujit. The network helps show where Sheeba J. Sujit may publish in the future.

Countries citing papers authored by Sheeba J. Sujit

Since Specialization
Citations

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

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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2025