Husam Ghanim
- Endocrinology, Diabetes and Metabolism top 0.1%
- Epidemiology top 0.5%
- Physiology top 0.5%
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Co-authors
- Paresh DandonaPriya MohantyAhmad AljadaAjay ChaudhuriSandeep DhindsaWael HamoudaSanaa AbuayshehTufail Syed
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (31 papers)Diabetes Treatment and Management (14 papers)Metabolism, Diabetes, and Cancer (13 papers)
- Journals
- CirculationJournal of the American College of CardiologyAmerican Journal of Clinical Nutrition
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Husam Ghanim
113 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Endocrinology, Diabetes and Metabolism 4.0k
- Epidemiology 3.2k
- Physiology 2.8k
- Molecular Biology 2.5k
- Cardiology and Cardiovascular Medicine 1.7k
Countries citing papers authored by Husam Ghanim
This map shows the geographic impact of Husam Ghanim'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 Husam Ghanim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Husam Ghanim more than expected).
Fields of papers citing papers by Husam Ghanim
This network shows the impact of papers produced by Husam Ghanim. 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 Husam Ghanim. The network helps show where Husam Ghanim may publish in the future.
Co-authorship network of co-authors of Husam Ghanim
This figure shows the co-authorship network connecting the top 25 collaborators of Husam Ghanim. A scholar is included among the top collaborators of Husam Ghanim 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 Husam Ghanim. Husam Ghanim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 46 | |
| 3 | 18 | |
| 4 | 16 | |
| 5 | 28 | |
| 6 | The intake of fiber suppresses the high fat high carbohydrate meal induced endotoxemia, oxidative stress and inflammation | 1 |
| 7 | 46 | |
| 8 | 14 | |
| 9 | 235 | |
| 10 | 202 | |
| 11 | 129 | |
| 12 | 139 | |
| 13 | 292 | |
| 14 | 36 | |
| 15 | 140 | |
| 16 | 84 | |
| 17 | 128 | |
| 18 | 124 | |
| 19 | 201 | |
| 20 | 15 |
About Husam Ghanim
Husam Ghanim is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Geriatrics and Gerontology, having authored 116 papers that have together received 10.9k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (31 papers), Diabetes Treatment and Management (14 papers) and Metabolism, Diabetes, and Cancer (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.0k citations), Physiology (2.8k citations) and Epidemiology (3.2k citations). Husam Ghanim has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Paresh Dandona, Priya Mohanty, Ahmad Aljada, Ajay Chaudhuri, Sandeep Dhindsa, Wael Hamouda, Sanaa Abuaysheh, Tufail Syed, Rajesh Garg and Chang Ling Sia. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and American Journal of Clinical Nutrition.
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.