Suhad Bahijri
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Epidemiology
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Jaakko TuomilehtoGordon A. FernsEman M. AlissaGhada AjabnoorRajaa Al‐RaddadiAnwar BoraiHanan JambiGeorge P. Chrousos
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers)Nutritional Studies and Diet (11 papers)Dietary Effects on Health (9 papers)
- Partner nations
- Saudi ArabiaFinlandUnited States
In The Last Decade
Suhad Bahijri
69 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Physiology 503
- Endocrinology, Diabetes and Metabolism 343
- Molecular Biology 221
- Epidemiology 200
- Public Health, Environmental and Occupational Health 191
Countries citing papers authored by Suhad Bahijri
This map shows the geographic impact of Suhad Bahijri'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 Suhad Bahijri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhad Bahijri more than expected).
Fields of papers citing papers by Suhad Bahijri
This network shows the impact of papers produced by Suhad Bahijri. 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 Suhad Bahijri. The network helps show where Suhad Bahijri may publish in the future.
Co-authorship network of co-authors of Suhad Bahijri
This figure shows the co-authorship network connecting the top 25 collaborators of Suhad Bahijri. A scholar is included among the top collaborators of Suhad Bahijri 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 Suhad Bahijri. Suhad Bahijri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | Inflammation in atherosclerosis: pathophysiology and mechanismsbreakdown → | 89 |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | The Association Between Prediabetes and Dyslipidemia Among Attendants of Primary Care Health Centers in Jeddah, Saudi Arabia | 2 |
| 13 | 40 | |
| 14 | 102 | |
| 15 | 10 | |
| 16 | 57 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | 43 | |
| 20 | 39 |
About Suhad Bahijri
Suhad Bahijri is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Endocrine and Autonomic Systems, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Nutritional Studies and Diet (11 papers) and Dietary Effects on Health (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (343 citations), Physiology (503 citations) and Applied Microbiology and Biotechnology (32 citations). Suhad Bahijri has collaborated with scholars based in Saudi Arabia, Finland and United States. Frequent co-authors include Jaakko Tuomilehto, Gordon A. Ferns, Eman M. Alissa, Ghada Ajabnoor, Rajaa Al‐Raddadi, Anwar Borai, Hanan Jambi, George P. Chrousos, Jumana Y. Al‐Aama and Domenico Praticò. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nutrients.
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.