Samir Sayed

968 citations
9 papers · 488 · h-index 7

Impact in

Papers in

Samir Sayed

7 papers receiving 479 citations

Peers

Samir Sayed
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 171
  • Pathology and Forensic Medicine 110
  • Orthopedics and Sports Medicine 52
  • Clinical Biochemistry 31
  • Surgery 145
Replace Daniel Donovan with:
Daniel Donovan United States
Catharina Lewerin Sweden
Nancy D. Adams United States
Erhan Tatar Türkiye
F Péter Hungary
Ivano Baragetti Italy
Cédric Gauci France
Marcia J. Kayath Brazil
Amin Roshdy Soliman Egypt
Michel Fuss Belgium
Samir Sayed relative to Daniel Donovan United States Daniel Donovan's profile →
Citations per field
00.5×7.6×
Daniel Donovan · 1×
Citations per year

Countries citing papers authored by Samir Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Samir Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2010124
2 202099
3 201684
4 200982
5 201540
6 200835
7 202124
8 20210
9 20240

About Samir Sayed

Samir Sayed is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Genetics, having authored 9 papers that have together received 488 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Vitamin D Research Studies (2 papers), Diabetes and associated disorders (2 papers), Immune Cell Function and Interaction (2 papers), Infection Control and Ventilation (1 paper), Bone health and osteoporosis research (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (171 citations), Pathology and Forensic Medicine (110 citations), Orthopedics and Sports Medicine (52 citations), Clinical Biochemistry (31 citations) and Surgery (145 citations). Samir Sayed has collaborated with scholars based in United States and Argentina. Frequent co-authors include Jesse Dudley, Chén C. Kenyon, Blanca E. Himes, Avantika R. Diwadkar, Charles A. Stanley, Franz M. Matschinsky, David A. Hill, Sarah E. Henrickson, Pan Chen and Mary B. Leonard. Their work appears in journals such as The Journal of Allergy and Clinical Immunology In Practice, The Journal of Immunology, Diabetes, Journal of Bone and Mineral Research and Journal of Allergy and Clinical Immunology.

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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