Maryam Nasiri

22 papers and 550 indexed citations i.

About

Maryam Nasiri is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Infectious Diseases. According to data from OpenAlex, Maryam Nasiri has authored 22 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Infectious Diseases. Recurrent topics in Maryam Nasiri’s work include COVID-19 Clinical Research Studies (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Hormonal Regulation and Hypertension (3 papers). Maryam Nasiri is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Hormonal Regulation and Hypertension (3 papers). Maryam Nasiri collaborates with scholars based in Iran, United Kingdom and Türkiye. Maryam Nasiri's co-authors include Jeremy Tomlinson, Matthew J. Armstrong, Laura Gathercole, Jinglei Yu, Jonathan Hazlehurst, Philip N. Newsome, Diana Hull, Stephen Gough, Kathy Guo and Darren Barton and has published in prestigious journals such as PLoS ONE, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Co-authorship network of co-authors of Maryam Nasiri i

Fields of papers citing papers by Maryam Nasiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maryam Nasiri

Since Specialization
Citations

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