Hessa Alkandari

887 total citations
49 papers, 535 citations indexed

About

Hessa Alkandari is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Hessa Alkandari has authored 49 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 26 papers in Endocrinology, Diabetes and Metabolism and 20 papers in Surgery. Recurrent topics in Hessa Alkandari's work include Diabetes and associated disorders (25 papers), Diabetes Management and Research (16 papers) and Pancreatic function and diabetes (15 papers). Hessa Alkandari is often cited by papers focused on Diabetes and associated disorders (25 papers), Diabetes Management and Research (16 papers) and Pancreatic function and diabetes (15 papers). Hessa Alkandari collaborates with scholars based in Kuwait, United States and United Kingdom. Hessa Alkandari's co-authors include Dalia Al‐Abdulrazzaq, Arshad Channanath, Thangavel Alphonse Thanaraj, Majedah Abdul-Rasoul, M.Z. Haider, Gursev S. Dhaunsi, Azza Shaltout, Lena Davidsson, Rihab Al‐Wotayan and Fahd Al‐Mulla and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Diabetes Care.

In The Last Decade

Hessa Alkandari

40 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hessa Alkandari Kuwait 13 297 277 173 54 50 49 535
Goran Petrovski Qatar 15 458 1.5× 262 0.9× 278 1.6× 26 0.5× 8 0.2× 53 590
Aveni Haynes Australia 16 553 1.9× 478 1.7× 301 1.7× 72 1.3× 22 0.4× 32 756
Crystal G. Connor United States 13 796 2.7× 493 1.8× 451 2.6× 16 0.3× 14 0.3× 13 946
Soulmaz Fazeli Farsani Netherlands 11 366 1.2× 241 0.9× 130 0.8× 43 0.8× 8 0.2× 22 582
Kineret Mazor‐Aronovitch Israel 15 351 1.2× 173 0.6× 160 0.9× 23 0.4× 9 0.2× 32 506
Mike Baxter United Kingdom 11 258 0.9× 70 0.3× 119 0.7× 20 0.4× 7 0.1× 23 377
Ryan Paul New Zealand 12 332 1.1× 173 0.6× 161 0.9× 32 0.6× 3 0.1× 67 466
Georgia M. Davis United States 19 860 2.9× 479 1.7× 235 1.4× 12 0.2× 7 0.1× 55 1.1k
Lisa R. Letourneau United States 14 217 0.7× 212 0.8× 291 1.7× 48 0.9× 7 0.1× 36 593
João Soares Felício Brazil 14 222 0.7× 81 0.3× 73 0.4× 15 0.3× 39 0.8× 37 484

Countries citing papers authored by Hessa Alkandari

Since Specialization
Citations

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

Fields of papers citing papers by Hessa Alkandari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hessa Alkandari

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

All Works

20 of 20 papers shown
2.
Alkandari, Hessa, et al.. (2025). Genetic insights into MIS-C Post-COVID-19 in Kuwaiti children: investigating monogenic factors. Frontiers in Cellular and Infection Microbiology. 14. 1444216–1444216.
4.
Al‐Abdulrazzaq, Dalia, Ahmed N. Albatineh, Doaa Khalifa, et al.. (2024). Prevalence and factors associated with thyroid autoimmunity among children newly diagnosed with type 1 diabetes before and during the COVID‐19 pandemic: Evidence from Kuwait. Diabetes/Metabolism Research and Reviews. 40(5). e3824–e3824. 2 indexed citations
6.
Ayed, Mariam, et al.. (2023). Coronavirus Infection in Neonates: Neurodevelopmental Outcomes at 18 Months of Age. Canadian Journal of Infectious Diseases and Medical Microbiology. 2023(1). 6140085–6140085. 6 indexed citations
7.
Babiker, Amir, Nancy Samir Elbarbary, Saif Al-Yaarubi, et al.. (2023). Lessons Learned From COVID-19 Lockdown: An ASPED/MENA Study on Lifestyle Changes and Quality of Life During Ramadan Fasting in Children and Adolescents Living With Type 1 Diabetes. Clinical Medicine Insights Endocrinology and Diabetes. 16. 733063235–733063235. 2 indexed citations
8.
Chobot, Agata, Stefanie Lanzinger, Hessa Alkandari, et al.. (2023). Diabetes care practices and outcomes in 40.000 children and adolescents with type 1 diabetes from the SWEET registry during the COVID-19 pandemic. Diabetes Research and Clinical Practice. 202. 110809–110809. 3 indexed citations
9.
Al‐Mulla, Fahd, Mohamed Abu‐Farha, Amal Hasan, et al.. (2023). Early autoantibody screening for type 1 diabetes: a Kuwaiti perspective on the advantages of multiplexing chemiluminescent assays. Frontiers in Immunology. 14. 1273476–1273476. 2 indexed citations
10.
Al‐Abdulrazzaq, Dalia, et al.. (2022). The Pediatric COVID-19 Registry in Kuwait: Methodology and Results of Pilot Phase. Medical Principles and Practice. 31(5). 471–479. 2 indexed citations
11.
Kavalakatt, Sina, Abdelkrim Khadir, Shihab Kochumon, et al.. (2022). Urocortin Neuropeptide Levels Are Impaired in the PBMCs of Overweight Children. Nutrients. 14(3). 429–429. 1 indexed citations
12.
Alkandari, Abdullah, Unjali P. Gujral, Abdullah Bennakhi, et al.. (2022). HbA1c, blood pressure, and cholesterol control in adults with diabetes: A report card for Kuwait. Journal of Diabetes Investigation. 13(10). 1732–1739. 6 indexed citations
14.
Nizam, Rasheeba, Prashantha Hebbar, Sumi Elsa John, et al.. (2022). Differentially methylated and expressed genes in familial type 1 diabetes. Scientific Reports. 12(1). 11045–11045. 9 indexed citations
16.
Cardona‐Hernandez, Roque, Anke Schwandt, Hessa Alkandari, et al.. (2021). Glycemic Outcome Associated With Insulin Pump and Glucose Sensor Use in Children and Adolescents With Type 1 Diabetes. Data From the International Pediatric Registry SWEET. Diabetes Care. 44(5). 1176–1184. 88 indexed citations
17.
Al‐Abdulrazzaq, Dalia, et al.. (2021). Higher rates of diabetic ketoacidosis and admission to the paediatric intensive care unit among newly diagnosed children with type 1 diabetes in Kuwait during the COVID‐19 pandemic. Diabetes/Metabolism Research and Reviews. 38(3). e3506–e3506. 24 indexed citations
18.
Alkandari, Hessa, et al.. (2020). Rabson–Mendenhall Syndrome in a brother-sister pair in Kuwait: Diagnosis and 5 year follow up. Primary care diabetes. 15(1). 175–177. 3 indexed citations
19.
Alkandari, Hessa, Dalia Al‐Abdulrazzaq, Lena Davidsson, et al.. (2019). Incidence of Type 2 Diabetes in Kuwaiti Children and Adolescents: Results From the Childhood-Onset Diabetes Electronic Registry (CODeR). Frontiers in Endocrinology. 10. 836–836. 14 indexed citations
20.
Alkandari, Hessa, et al.. (2016). Low serum vitamin-D status is associated with high prevalence and early onset of type-1 diabetes mellitus in Kuwaiti children. BMC Pediatrics. 16(1). 95–95. 41 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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