Maya Césari

25 papers and 880 indexed citations i.

About

Maya Césari is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Maya Césari has authored 25 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Maya Césari’s work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Pancreatic Islet Dysfunction and Regeneration (4 papers) and Immune Cell Function and Interaction (4 papers). Maya Césari is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (9 papers), Pancreatic Islet Dysfunction and Regeneration (4 papers) and Immune Cell Function and Interaction (4 papers). Maya Césari collaborates with scholars based in France, Réunion and Italy. Maya Césari's co-authors include Laurence Hoareau, Régis Roche, Franck Festy, Marie‐Paule Gonthier, Manoj Kumar Gunasekaran, Karima Bencharif, Palaniyandi Ravanan, Frank Tallet, Christian Lefebvre d’Hellencourt and H Caillens and has published in prestigious journals such as PLoS ONE, Biochemical Journal and Obesity.

In The Last Decade

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

Fields of papers citing papers by Maya Césari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Césari

Since Specialization
Citations

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