Sheida Nabavi

35 papers and 860 indexed citations i.

About

Sheida Nabavi is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Sheida Nabavi has authored 35 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cancer Research and 11 papers in Artificial Intelligence. Recurrent topics in Sheida Nabavi’s work include AI in cancer detection (10 papers), Genomic variations and chromosomal abnormalities (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Sheida Nabavi is often cited by papers focused on AI in cancer detection (10 papers), Genomic variations and chromosomal abnormalities (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Sheida Nabavi collaborates with scholars based in United States, Canada and China. Sheida Nabavi's co-authors include Tianyu Wang, Clifford Yang, Boyang Li, Craig E. Nelson, Reda A. Ammar, Jun Bai, Abdelrahman Hosny, Michelle T. Dow, Mohammad Madani and Ewa Przybytkowski and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Sheida Nabavi i

Fields of papers citing papers by Sheida Nabavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheida Nabavi

Since Specialization
Citations

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