David Sheikh‐Hamad

5.2k citations
78 papers · 3.7k indexed · 1 hit paper · h-index 36

Impact in

Papers in

David Sheikh‐Hamad

77 papers receiving 3.6k citations

Hit Papers

Uric Acid Stimulates Monocyte Chemoattractant Protein-1 Production in Vascular Smooth Muscle Cells Via Mitogen-Activated Protein Kinase and Cyclooxygenase-2 2003 · 647 citations
6472003202620102018200400600

Peers

David Sheikh‐Hamad
Comparison fields: 5 of 121
  • Nephrology 1.0k
  • Pathology and Forensic Medicine 482
  • Molecular Biology 1.6k
  • Cell Biology 326
  • Physiology 497
Replace Katherine Spokes with:
Katherine Spokes United States
Gabriela García United States
John H. Schwartz United States
Kenneth R. Hallows United States
Toshio Doi Japan
Richard A. Zager United States
Yoshio Terada Japan
Fiona E. Karet United Kingdom
Ivan Sabolić Croatia
Heino Velázquez United States
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Citations per field
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Citations per year

Countries citing papers authored by David Sheikh‐Hamad

Since Specialization
Citations

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

Fields of papers citing papers by David Sheikh‐Hamad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Sheikh‐Hamad. 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 David Sheikh‐Hamad. The network helps show where David Sheikh‐Hamad may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20250
4 20252
5 20236
6 20223
7 202222
8 202115
9 201917
10 201333
11 201265
12 200956
13 200654
14 200630
15 2005141
16 200050
17 1998166
18 199811
19 199847
20 198979

About David Sheikh‐Hamad

David Sheikh‐Hamad is a scholar working on Nephrology, Pathology and Forensic Medicine, Cell Biology, Endocrine and Autonomic Systems and Ecology, having authored 78 papers that have together received 3.7k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (15 papers), Adipose Tissue and Metabolism (11 papers), Electrolyte and hormonal disorders (6 papers), Chronic Kidney Disease and Diabetes (6 papers), Renal and related cancers (6 papers), Mitochondrial Function and Pathology (5 papers), Aldose Reductase and Taurine (5 papers) and Ion Transport and Channel Regulation (5 papers). The work is most often cited by research in Nephrology (1.0k citations), Pathology and Forensic Medicine (482 citations), Molecular Biology (1.6k citations), Cell Biology (326 citations) and Physiology (497 citations). David Sheikh‐Hamad has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Luan D. Truong, Hui Y. Lan, Michael C. Gustin, Wadi N. Suki, Richard J. Johnson, John Kanellis, Duk‐Hee Kang, Ping Li, Jinhua Li and Takahiko Nakagawa. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of the American Society of Nephrology, Kidney International, American Journal of Physiology-Cell Physiology and PLoS ONE.

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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