Nasreen Al-Sayed

851 citations
12 papers · 287 indexed · h-index 6

Impact in

Papers in

Nasreen Al-Sayed

12 papers receiving 277 citations

Peers

Nasreen Al-Sayed
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 107
  • Cancer Research 75
  • Pathology and Forensic Medicine 34
  • Epidemiology 64
  • Surgery 71
Replace Yanying Guo with:
Yanying Guo China
Abdulrahman Al-Nuaim Saudi Arabia
Anne McGowan United Kingdom
L. Le Marchand United States
Heiner Boeing Germany
Jelena Bešević United Kingdom
Orit Twito Israel
Giselle M. Darling Australia
Seohyuk Lee United States
Chien‐Hsiang Weng United States
Nasreen Al-Sayed relative to Yanying Guo China Yanying Guo's profile →
Citations per field
00.5×2.6×
Yanying Guo · 1×
Citations per year

Countries citing papers authored by Nasreen Al-Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Nasreen Al-Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202377
2 201567
3 200864
4 202036
5 201523
6 200611
7 20214
8
Association of Selective HLA class II Susceptible and Protective Haplotypes with Type 2 Diabetes in Bahrain and Lebanon
20061
9 20131
10 20201
11 20211
12 20161

About Nasreen Al-Sayed

Nasreen Al-Sayed is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Cancer Research, Surgery and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 287 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (2 papers), Diabetes Management and Education (2 papers), Lipoproteins and Cardiovascular Health (2 papers), T-cell and B-cell Immunology (2 papers), Chronic Disease Management Strategies (2 papers), Diabetes and associated disorders (2 papers), Immune Cell Function and Interaction (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (107 citations), Cancer Research (75 citations), Pathology and Forensic Medicine (34 citations), Epidemiology (64 citations) and Surgery (71 citations). Nasreen Al-Sayed has collaborated with scholars based in Bahrain, Saudi Arabia and United Arab Emirates. Frequent co-authors include Moiz Bakhiet, Zuheir Hasan, Ghada Al‐Kafaji, Sadia Nawaz, Wassim Y. Almawi, Hani Tamim, Ghada Al-Khateeb, Lâle Tokgözoğlu, Michel Farnier and Michel P. Hermans. Their work appears in journals such as Clinical and Vaccine Immunology, Current Vascular Pharmacology, Atherosclerosis, Endocrine Practice and Archives of Osteoporosis.

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.

Explore authors with similar magnitude of impact