Maya Bassil

43 papers and 567 indexed citations i.

About

Maya Bassil is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Cell Biology. According to data from OpenAlex, Maya Bassil has authored 43 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 9 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Cell Biology. Recurrent topics in Maya Bassil’s work include Adipose Tissue and Metabolism (10 papers), Diet and metabolism studies (9 papers) and Muscle metabolism and nutrition (8 papers). Maya Bassil is often cited by papers focused on Adipose Tissue and Metabolism (10 papers), Diet and metabolism studies (9 papers) and Muscle metabolism and nutrition (8 papers). Maya Bassil collaborates with scholars based in Lebanon, United States and Qatar. Maya Bassil's co-authors include Réjeanne Gougeon, Joelle Abi Kharma, Jomana Elaridi, Hussein F. Hassan, Nadine Zeeni, Omar Obeid, Errol B. Marliss, José A. Morais, Leonard E. Egede and Stéphanie Chevalier and has published in prestigious journals such as PLoS ONE, Diabetes and The FASEB Journal.

In The Last Decade

Co-authorship network of co-authors of Maya Bassil i

Fields of papers citing papers by Maya Bassil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Bassil

Since Specialization
Citations

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