Maedeh Sharifian

8 papers and 87 indexed citations i.

About

Maedeh Sharifian is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maedeh Sharifian has authored 8 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maedeh Sharifian’s work include COVID-19 diagnosis using AI (2 papers), Advanced MRI Techniques and Applications (2 papers) and Cardiovascular Function and Risk Factors (2 papers). Maedeh Sharifian is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Advanced MRI Techniques and Applications (2 papers) and Cardiovascular Function and Risk Factors (2 papers). Maedeh Sharifian collaborates with scholars based in Iran, United States and Switzerland. Maedeh Sharifian's co-authors include Rosa Babaei, Mehrak Javadi‐Paydar, Ahmad Reza Dehpour, Hadi Karimi Mobin, Chiara D. Arru, Mannudeep K. Kalra, Éric Zhang, Subba R. Digumarthy, Fatemeh Homayounieh and Anderson H. Kuo and has published in prestigious journals such as Gastroenterology, PLoS ONE and Behavioural Brain Research.

In The Last Decade

Co-authorship network of co-authors of Maedeh Sharifian i

Fields of papers citing papers by Maedeh Sharifian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maedeh Sharifian

Since Specialization
Citations

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