Alexis Nasr

32 papers and 479 indexed citations i.

About

Alexis Nasr is a scholar working on Endocrinology, Diabetes and Metabolism, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Alexis Nasr has authored 32 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Artificial Intelligence and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Alexis Nasr’s work include Natural Language Processing Techniques (10 papers), Topic Modeling (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Alexis Nasr is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Alexis Nasr collaborates with scholars based in United States, France and Lebanon. Alexis Nasr's co-authors include M. Breckwoldt, Silva Arslanian, Joon Young Kim, Hala Tfayli, Fida Bacha, SoJung Lee, Sara F. Michaliszyn, Samar R. El Khoudary, Seyed Abolghasem Mirroshandel and M. Nemat-Alla and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Diabetes.

In The Last Decade

Co-authorship network of co-authors of Alexis Nasr i

Fields of papers citing papers by Alexis Nasr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alexis Nasr

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025