Salman Azhar

25 papers and 941 indexed citations i.

About

Salman Azhar is a scholar working on Artificial Intelligence, Epidemiology and Neurology. According to data from OpenAlex, Salman Azhar has authored 25 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Epidemiology and 4 papers in Neurology. Recurrent topics in Salman Azhar’s work include COVID-19 and healthcare impacts (3 papers), Long-Term Effects of COVID-19 (3 papers) and COVID-19 Clinical Research Studies (3 papers). Salman Azhar is often cited by papers focused on COVID-19 and healthcare impacts (3 papers), Long-Term Effects of COVID-19 (3 papers) and COVID-19 Clinical Research Studies (3 papers). Salman Azhar collaborates with scholars based in United States, Morocco and Canada. Salman Azhar's co-authors include Souhel Najjar, Ruben Kuzniecky, Steven V. Pacia, John H. Reif, Richard Libman, Derek J. Chong, Bidyut K. Pramanik, Amanda Najjar, Claudia Kirsch and Gerald M. Reaven and has published in prestigious journals such as Journal of Biological Chemistry, Neurology and Diabetes.

In The Last Decade

Co-authorship network of co-authors of Salman Azhar i

Fields of papers citing papers by Salman Azhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Salman Azhar

Since Specialization
Citations

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