Wael Hamouda
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Physiology top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Ahmad AljadaHusam GhanimPriya MohantyParesh DandonaRajesh GargEzzat AssianP DandonaShakeel Ahmad
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (8 papers)Adipose Tissue and Metabolism (5 papers)Immune Response and Inflammation (4 papers)
- Journals
- CirculationAmerican Journal of Clinical NutritionThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesEgyptAustralia
In The Last Decade
Wael Hamouda
19 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Epidemiology 862
- Endocrinology, Diabetes and Metabolism 798
- Physiology 676
- Molecular Biology 566
- Cardiology and Cardiovascular Medicine 451
Countries citing papers authored by Wael Hamouda
This map shows the geographic impact of Wael Hamouda'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 Wael Hamouda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wael Hamouda more than expected).
Fields of papers citing papers by Wael Hamouda
This network shows the impact of papers produced by Wael Hamouda. 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 Wael Hamouda. The network helps show where Wael Hamouda may publish in the future.
Co-authorship network of co-authors of Wael Hamouda
This figure shows the co-authorship network connecting the top 25 collaborators of Wael Hamouda. A scholar is included among the top collaborators of Wael Hamouda 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 Wael Hamouda. Wael Hamouda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | Single versus conventional fractionated radiotherapy in the palliation of painful bone metastases. | 19 |
| 3 | 201 | |
| 4 | 22 | |
| 5 | 117 | |
| 6 | 122 | |
| 7 | 201 | |
| 8 | 322 | |
| 9 | Insulin Inhibits Intranuclear Nuclear Factor κB and Stimulates IκB in Mononuclear Cells in Obese Subjects: Evidence for an Anti-inflammatory Effect?breakdown → | 578 |
| 10 | 15 | |
| 11 | 36 | |
| 12 | 497 | |
| 13 | 1 | |
| 14 | 125 | |
| 15 | 122 | |
| 16 | 29 | |
| 17 | 24 | |
| 18 | 46 | |
| 19 | 50 | |
| 20 | 1 |
About Wael Hamouda
Wael Hamouda is a scholar working on Clinical Biochemistry, Immunology and Behavioral Neuroscience, having authored 20 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (5 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (798 citations), Physiology (676 citations) and Epidemiology (862 citations). Wael Hamouda has collaborated with scholars based in United States, Egypt and Australia. Frequent co-authors include Ahmad Aljada, Husam Ghanim, Priya Mohanty, Paresh Dandona, Rajesh Garg, Ezzat Assian, P Dandona, Shakeel Ahmad, Richard W. Browne and Aqeela Afzal. Their work appears in journals such as Circulation, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.
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.