May Faraj

3.2k citations
57 papers · 2.5k · h-index 25

Impact in

Papers in

    • Adipose Tissue and Metabolism 11
    • Diet and metabolism studies 4
    • Adipokines, Inflammation, and Metabolic Diseases 14

May Faraj

57 papers receiving 2.4k citations

Peers

May Faraj
Comparison fields: 5 of 91
  • Endocrine and Autonomic Systems 269
  • Physiology 746
  • Endocrinology, Diabetes and Metabolism 442
  • Epidemiology 627
  • Cardiology and Cardiovascular Medicine 244
Replace Christian Anderwald with:
Christian Anderwald Austria
Dorit Samocha‐Bonet Australia
R. Conde Spain
Stefan Bilz Switzerland
Per‐Anders Jansson Sweden
Stella P. Kim United States
Barbora Vozarova United States
Adamandia D. Kriketos Australia
Kοnstantinos Kantartzis Germany
Yoshiaki Keno Japan
May Faraj relative to Christian Anderwald Austria Christian Anderwald's profile →
Citations per field
00.5×1.5×
Christian Anderwald · 1×
Citations per year

Countries citing papers authored by May Faraj

Since Specialization
Citations

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

Fields of papers citing papers by May Faraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005489
2 2003421
3 2009175
4 2004102
5 200668
6 200467
7 200763
8 200763
9 200760
10 200156
11 201451
12 200650
13 201349
14 201448
15 200947
16 200844
17 201043
18 200640
19 200428
20 201628

About May Faraj

May Faraj is a scholar working on Physiology, Epidemiology, Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (14 papers), Adipose Tissue and Metabolism (11 papers), Lipoproteins and Cardiovascular Health (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Fatty Acid Research and Health (4 papers), Nutritional Studies and Diet (4 papers), Diet and metabolism studies (4 papers) and Obesity, Physical Activity, Diet (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (269 citations), Physiology (746 citations), Endocrinology, Diabetes and Metabolism (442 citations), Epidemiology (627 citations) and Cardiology and Cardiovascular Medicine (244 citations). May Faraj has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Rémi Rabasa‐Lhoret, Allan D. Sniderman, Denis Prud’homme, Antony D. Karelis, Katherine Cianflone, Martin Brochu, Jean‐Philippe Bastard, David H. St‐Pierre, David Blank and Peter J. Havel. Their work appears in journals such as Diabetes & Metabolism, Journal of Lipid Research, Journal of clinical lipidology, Diabetes and Atherosclerosis Supplements.

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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