Moni Nader

1.0k citations
44 papers · 822 indexed · h-index 17

Moni Nader

43 papers receiving 801 citations

Peers

Moni Nader
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 206
  • Cell Biology 110
  • Molecular Biology 458
  • Physiology 143
  • Cellular and Molecular Neuroscience 92
Replace Rakeshwar S. Guleria with:
Rakeshwar S. Guleria United States
Yusen Chen China
Evangelos P. Daskalopoulos Netherlands
Bin Kong China
Haiyi Yu China
Oleg Pak Germany
Craig Weber United States
Philippe Couvert France
Kota Suzuki Japan
Moni Nader relative to Rakeshwar S. Guleria United States Rakeshwar S. Guleria's profile →
Citations per field
00.5×1.5×2.4×
Rakeshwar S. Guleria · 1×
Citations per year

Countries citing papers authored by Moni Nader

Since Specialization
Citations

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

Fields of papers citing papers by Moni Nader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Moni Nader, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Moni Nader Line = papers co-authored together Moni Nader links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20234
4 20233
5 20235
6 202311
7 20236
8 202210
9 202131
10 20202
11 201911
12 201713
13 201612
14 200619
15 200675
16 200520
17 200513
18 200434
19 200447
20 2003119

About Moni Nader

Moni Nader is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Health Information Management, having authored 44 papers that have together received 822 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), Receptor Mechanisms and Signaling (9 papers), Caveolin-1 and cellular processes (5 papers), Ion channel regulation and function (5 papers), Nitric Oxide and Endothelin Effects (4 papers), COVID-19 Clinical Research Studies (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Cardiomyopathy and Myosin Studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (206 citations), Cell Biology (110 citations), Molecular Biology (458 citations), Physiology (143 citations) and Cellular and Molecular Neuroscience (92 citations). Moni Nader has collaborated with scholars based in Canada, United Arab Emirates and Lebanon. Frequent co-authors include Ghassan Bkaily, Danielle Jacques, Pedro D’Orléans-Juste, Levon Avedanian, Johny Al-Khoury, Sylvain Chemtob, Ramez Chahine, Fernand Gobeil, Edward J. Goetzl and Sonia Brault. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Inflammation Research, Photochemistry and Photobiology, Journal of Biological Chemistry and The FASEB Journal.

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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