Faisal Al-Refaei

414 total citations
11 papers, 253 citations indexed

About

Faisal Al-Refaei is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Faisal Al-Refaei has authored 11 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Epidemiology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Faisal Al-Refaei's work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), COVID-19 epidemiological studies (2 papers) and Lipid metabolism and disorders (2 papers). Faisal Al-Refaei is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), COVID-19 epidemiological studies (2 papers) and Lipid metabolism and disorders (2 papers). Faisal Al-Refaei collaborates with scholars based in Kuwait, Australia and United States. Faisal Al-Refaei's co-authors include Asma Alhubail, Mohamed Abu‐Farha, Jehad Abubaker, Ali Tiss, Sriraman Devarajan, Preethi Cherian, Irina Al‐Khairi, Samia Warsame, Kazem Behbehani and Abdulmohsen Alterki and has published in prestigious journals such as PLoS ONE, Nature Reviews Genetics and Nutrients.

In The Last Decade

Faisal Al-Refaei

10 papers receiving 243 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Faisal Al-Refaei Kuwait 6 109 90 85 36 34 11 253
R. Linn Israel 6 41 0.4× 98 1.1× 42 0.5× 19 0.5× 17 0.5× 10 327
Hany Salem Saudi Arabia 11 75 0.7× 12 0.1× 27 0.3× 9 0.3× 23 0.7× 41 318
Christiana Graf Germany 10 176 1.6× 13 0.1× 36 0.4× 20 0.6× 40 1.2× 33 328
Silvio Veraldi Italy 8 153 1.4× 11 0.1× 55 0.6× 8 0.2× 32 0.9× 21 263
Zhuoran Chen Australia 10 157 1.4× 16 0.2× 35 0.4× 118 3.3× 37 1.1× 30 314
Bettina Jagemann Germany 10 145 1.3× 17 0.2× 62 0.7× 10 0.3× 36 1.1× 14 374
Walburga Cassar Italy 8 164 1.5× 11 0.1× 42 0.5× 10 0.3× 30 0.9× 9 278
Lea Ladegaard Grønkjær Denmark 11 258 2.4× 15 0.2× 37 0.4× 9 0.3× 47 1.4× 31 438
Ignacio Díez López Spain 11 46 0.4× 17 0.2× 60 0.7× 7 0.2× 65 1.9× 37 278
Kim Kim South Korea 9 40 0.4× 7 0.1× 68 0.8× 11 0.3× 25 0.7× 32 262

Countries citing papers authored by Faisal Al-Refaei

Since Specialization
Citations

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

Fields of papers citing papers by Faisal Al-Refaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faisal Al-Refaei. 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 Faisal Al-Refaei. The network helps show where Faisal Al-Refaei may publish in the future.

Co-authorship network of co-authors of Faisal Al-Refaei

This figure shows the co-authorship network connecting the top 25 collaborators of Faisal Al-Refaei. A scholar is included among the top collaborators of Faisal Al-Refaei 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 Faisal Al-Refaei. Faisal Al-Refaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Ali, Hamad, Barrak Alahmad, Faisal Al-Refaei, et al.. (2025). Integrating the genome and exposome for precision health in Kuwait. Nature Reviews Genetics. 26(11). 735–736.
2.
Oguoma, Victor M., Mohamed Abu‐Farha, Neil T. Coffee, et al.. (2022). Metabolically Healthy and Unhealthy Obese Phenotypes among Arabs and South Asians: Prevalence and Relationship with Cardiometabolic Indicators. Nutrients. 14(5). 915–915. 8 indexed citations
3.
Al‐Shammari, Abdullah A., Hamad Ali, Barrak Alahmad, et al.. (2021). The Impact of Strict Public Health Measures on COVID-19 Transmission in Developing Countries: The Case of Kuwait. Frontiers in Public Health. 9. 757419–757419. 4 indexed citations
4.
Oguoma, Victor M., Neil T. Coffee, Mohamed Abu‐Farha, et al.. (2021). Prevalence of overweight and obesity, and associations with socio-demographic factors in Kuwait. BMC Public Health. 21(1). 667–667. 41 indexed citations
5.
6.
Al‐Shammari, Abdullah A., Hamad Ali, Barrak Alahmad, et al.. (2020). COVID-19 Transmission and Forecasting in Kuwait: A Mathematical Modeling Study. SSRN Electronic Journal. 1 indexed citations
7.
Gheith, Osama, et al.. (2019). Assessment of Diabetes Knowledge Among Renal Transplant Recipients With Posttransplant Diabetes Mellitus: Kuwait Experience. PubMed. 17(Suppl 1). 277–285. 1 indexed citations
8.
Abu‐Farha, Mohamed, Preethi Cherian, Irina Al‐Khairi, et al.. (2017). Plasma and adipose tissue level of angiopoietin-like 7 (ANGPTL7) are increased in obesity and reduced after physical exercise. PLoS ONE. 12(3). e0173024–e0173024. 19 indexed citations
9.
Waheedi, Mohammad, et al.. (2017). Anemia in diabetes: Experience of a single treatment center in Kuwait. Primary care diabetes. 11(4). 383–388. 17 indexed citations
10.
Abu‐Farha, Mohamed, Irina Al‐Khairi, Preethi Cherian, et al.. (2016). Increased ANGPTL3, 4 and ANGPTL8/betatrophin expression levels in obesity and T2D. Lipids in Health and Disease. 15(1). 181–181. 80 indexed citations
11.
Warsame, Samia, et al.. (2015). Prevalence of Urinary Tract Infection and Antimicrobial Susceptibility among Diabetic Patients with Controlled and Uncontrolled Glycemia in Kuwait. Journal of Diabetes Research. 2016. 1–7. 81 indexed citations

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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