Maya Khairallah

706 total citations
16 papers, 588 citations indexed

About

Maya Khairallah is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Maya Khairallah has authored 16 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Physiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Maya Khairallah's work include Adipose Tissue and Metabolism (10 papers), Mitochondrial Function and Pathology (7 papers) and Muscle Physiology and Disorders (4 papers). Maya Khairallah is often cited by papers focused on Adipose Tissue and Metabolism (10 papers), Mitochondrial Function and Pathology (7 papers) and Muscle Physiology and Disorders (4 papers). Maya Khairallah collaborates with scholars based in Canada, United States and Lebanon. Maya Khairallah's co-authors include Basil J. Petrof, Christine Des Rosiers, Bertrand Bouchard, Christine Des Rosiers, Bruce G. Allen, Martin E. Young, Ramzi J. Khairallah, Christian F. Deschepper, Gawiyou Danialou and Geneviève Vincent and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Journal of Physiology-Heart and Circulatory Physiology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

Maya Khairallah

16 papers receiving 581 citations

Peers

Maya Khairallah
Comparison fields: 5 of 62
  • Molecular Biology 453
  • Cardiology and Cardiovascular Medicine 220
  • Physiology 208
  • Pathology and Forensic Medicine 61
  • Rehabilitation 48
Geneviève Vincent Canada
Ehte Orlova Estonia
Valdur Saks France
Nathalie Béraud France
Michael T. Davidson United States
Outi Villet United States
Zhi‐Bin Yu China
Anna Zoccarato United Kingdom
Lauren Abell United States
Raffaella Ronchi Italy
Geneviève Vincent Canada View profile →
Citations per field, relative to Maya Khairallah
Maya Khairallah · 1×
Citations per year, relative to Maya Khairallah
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Countries citing papers authored by Maya Khairallah

Since Specialization
Citations

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

Fields of papers citing papers by Maya Khairallah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Khairallah

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Khairallah. A scholar is included among the top collaborators of Maya Khairallah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maya Khairallah. Maya Khairallah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 8
2 5
3 5
4 64
5 45
6 5
7 26
8 93
9 83
10 58
11 59
12 33
13 45
14 1
15 30
16 28

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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2026