Nada Farhat

33 papers receiving 810 citations

Peers

Nada Farhat
Comparison fields: 5 of 87
  • Aging 45
  • Cardiology and Cardiovascular Medicine 245
  • Physiology 210
  • Biochemistry 34
  • Immunology 108
Replace Chiara Gatti with:
Chiara Gatti Italy
Marzia Schiavoni Italy
Rimpy Dhingra Canada
Siva S. V. P. Sakamuri United States
Albert Nguyen Canada
Tony Chen United States
Traci Marin United States
Sebastian Benkhoff Germany
Eva Chou United States
Simon Cuhlmann United Kingdom
Nada Farhat relative to Chiara Gatti Italy Chiara Gatti's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nada Farhat

Since Specialization
Citations

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

Fields of papers citing papers by Nada Farhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nada Farhat, 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 Nada Farhat Line = papers co-authored together Nada Farhat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007126
2 200877
3 200867
4 200564
5 201358
6 200453
7 201342
8 201939
9 200535
10 201532
11 200931
12 201028
13 201126
14 200819
15 201417
16 201617
17 200217
18 201015
19 201513
20
Pathological aging of the vascular endothelium: are endothelial progenitor cells the sentinels of the cardiovascular system?
200510

About Nada Farhat

Nada Farhat is a scholar working on Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology and Endocrinology, Diabetes and Metabolism, having authored 34 papers that have together received 828 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Lipid metabolism and disorders (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Ion Transport and Channel Regulation (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Aging (45 citations), Cardiology and Cardiovascular Medicine (245 citations), Physiology (210 citations), Biochemistry (34 citations) and Immunology (108 citations). Nada Farhat has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Éric Thorin, Nathalie Thorin‐Trescases, Louis Villeneuve, Michel Carrier, Louis P. Perrault, Aida M. Mamarbachi, Bruce G. Allen, Annik Fortier, Albert Nguyen and Maya Mamarbachi. Their work appears in journals such as Mechanisms of Ageing and Development, Pflügers Archiv - European Journal of Physiology, Journal of Molecular and Cellular Cardiology, American Journal of Health-System Pharmacy and Journal of the American Heart Association.

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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