Vera Farah

35 papers receiving 816 citations

Peers

Vera Farah
Comparison fields: 5 of 73
  • Behavioral Neuroscience 64
  • Cardiology and Cardiovascular Medicine 360
  • Endocrinology, Diabetes and Metabolism 260
  • Endocrine and Autonomic Systems 76
  • Complementary and alternative medicine 81
Replace Giovanni Battista Bolla with:
Giovanni Battista Bolla Italy
V. Maier Germany
Shereen M. Hamza Canada
Donna B. Tate United States
Francesco Scopelliti Italy
Rogério Brandão Wichi Brazil
M. J. Smith United States
Sandra L. Burke Australia
Susan Y. Jones United States
Rosaria De Iasio Italy
Vera Farah relative to Giovanni Battista Bolla Italy Giovanni Battista Bolla's profile →
Citations per field
00.5×1.5×2.1×
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Citations per year

Countries citing papers authored by Vera Farah

Since Specialization
Citations

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

Fields of papers citing papers by Vera Farah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992104
2 200695
3 200454
4 201350
5 199943
6 200441
7 200740
8 200437
9 201937
10 200436
11 201227
12 200625
13 200623
14 200722
15 200720
16 201119
17 201218
18 201818
19 199917
20 201214

About Vera Farah

Vera Farah is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology and Molecular Biology, having authored 35 papers that have together received 831 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (16 papers), Diet, Metabolism, and Disease (10 papers), Liver Disease Diagnosis and Treatment (6 papers), Diet and metabolism studies (6 papers), Renin-Angiotensin System Studies (5 papers), Stress Responses and Cortisol (5 papers), Blood Pressure and Hypertension Studies (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Behavioral Neuroscience (64 citations), Cardiology and Cardiovascular Medicine (360 citations), Endocrinology, Diabetes and Metabolism (260 citations), Endocrine and Autonomic Systems (76 citations) and Complementary and alternative medicine (81 citations). Vera Farah has collaborated with scholars based in Brazil, United States and Slovakia. Frequent co-authors include Mariana Morris, Maria Cláudia Irigoyen, Eduardo Moacyr Krieger, Edson Duarte Moreira, Iveta Bernátová, Khalid M. Elased, Yanfang Chen, Carlos Eduardo Negrão, Mary C. Santos and Kátia De Angelis. Their work appears in journals such as The FASEB Journal, Brazilian Journal of Medical and Biological Research, Physiology & Behavior, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Journal of Applied Physiology.

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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