Maya Debbaneh

16 papers and 535 indexed citations i.

About

Maya Debbaneh is a scholar working on Immunology, Dermatology and Rheumatology. According to data from OpenAlex, Maya Debbaneh has authored 16 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 6 papers in Dermatology and 4 papers in Rheumatology. Recurrent topics in Maya Debbaneh’s work include Psoriasis: Treatment and Pathogenesis (12 papers), Dermatology and Skin Diseases (6 papers) and T-cell and B-cell Immunology (3 papers). Maya Debbaneh is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (12 papers), Dermatology and Skin Diseases (6 papers) and T-cell and B-cell Immunology (3 papers). Maya Debbaneh collaborates with scholars based in United States, China and Canada. Maya Debbaneh's co-authors include Wilson Liao, John Koo, Jillian Wong Millsop, Bhavnit K. Bhatia, Sarah T. Arron, Eleni Linos, Michelle Dimon, Ethan Levin, Kevin Lai and Rashmi Gupta and has published in prestigious journals such as Journal of Investigative Dermatology, Journal of the American Academy of Dermatology and Journal of Translational Medicine.

In The Last Decade

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

Fields of papers citing papers by Maya Debbaneh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Debbaneh

Since Specialization
Citations

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