Maya Mamarbachi

1.1k total citations
16 papers, 914 citations indexed

About

Maya Mamarbachi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Maya Mamarbachi has authored 16 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Physiology. Recurrent topics in Maya Mamarbachi's work include Lipid metabolism and disorders (4 papers), Epigenetics and DNA Methylation (3 papers) and RNA Research and Splicing (3 papers). Maya Mamarbachi is often cited by papers focused on Lipid metabolism and disorders (4 papers), Epigenetics and DNA Methylation (3 papers) and RNA Research and Splicing (3 papers). Maya Mamarbachi collaborates with scholars based in Canada, United States and France. Maya Mamarbachi's co-authors include Michel Chrétien, Nabil G. Seidah, Éric Thorin, Majambu Mbikay, W. Dong, Robert Day, Josée Hamelin, James A. Cromlish, Aram Elagöz and Suzanne Benjannet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Maya Mamarbachi

16 papers receiving 902 citations

Peers

Maya Mamarbachi
Comparison fields: 5 of 83
  • Molecular Biology 436
  • Physiology 246
  • Cell Biology 206
  • Cardiology and Cardiovascular Medicine 194
  • Cancer Research 128
Replace Narayani Nagarajan with:
Narayani Nagarajan United States
Mark J. Ranek United States
Rachel J. Roth Flach United States
Tsugumichi Saito Japan
Amabel M. Orogo United States
Eijiro Yamada Japan
Erdene Baljinnyam United States
Yukitoshi Takemura Japan
Susanne Lingrell Canada
Sebastian C. Hasenfuss Spain
Narayani Nagarajan United States View profile →
Citations per field, relative to Maya Mamarbachi
Maya Mamarbachi · 1×
Citations per year, relative to Maya Mamarbachi
Maya Mamarbachi · 1×

Countries citing papers authored by Maya Mamarbachi

Since Specialization
Citations

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

Fields of papers citing papers by Maya Mamarbachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Mamarbachi

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Mamarbachi. A scholar is included among the top collaborators of Maya Mamarbachi 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 Mamarbachi. Maya Mamarbachi 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 7
2 26
3 10
4 15
5 22
6 23
7 14
8 65
9 37
10 60
11 58
12 32
13 71
14 1
15 262
16 211

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
2026