Suhad Bahijri

120 total papers · 18.1k total citations
74 papers, 1.3k citations indexed

About

Suhad Bahijri is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology. According to data from OpenAlex, Suhad Bahijri has authored 74 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Physiology and 17 papers in Epidemiology. Recurrent topics in Suhad Bahijri's work include Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Nutritional Studies and Diet (11 papers) and Dietary Effects on Health (9 papers). Suhad Bahijri is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Nutritional Studies and Diet (11 papers) and Dietary Effects on Health (9 papers). Suhad Bahijri collaborates with scholars based in Saudi Arabia, Finland and United States. Suhad Bahijri's co-authors include Jaakko Tuomilehto, Gordon A. Ferns, Ghada Ajabnoor, Eman M. Alissa, Anwar Borai, Rajaa Al‐Raddadi, Hanan Jambi, George P. Chrousos, Jumana Y. Al‐Aama and Domenico Praticò and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nutrients.

In The Last Decade

Suhad Bahijri

68 papers receiving 1.3k citations

Hit Papers

Inflammation in atheroscl... 2024 2026 2024 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Suhad Bahijri 499 340 213 198 190 74 1.3k
Ahmad Zare Javid 424 0.8× 259 0.8× 373 1.8× 113 0.6× 171 0.9× 72 1.5k
Danuta Pupek‐Musialik 374 0.7× 160 0.5× 173 0.8× 249 1.3× 249 1.3× 97 1.4k
Tianshu Han 383 0.8× 198 0.6× 422 2.0× 190 1.0× 373 2.0× 78 1.4k
Somaye Fatahi 481 1.0× 276 0.8× 200 0.9× 171 0.9× 317 1.7× 84 1.3k
Seyed Mohammad Mousavi 381 0.8× 229 0.7× 214 1.0× 123 0.6× 344 1.8× 72 1.4k
Rungsunn Tungtrongchitr 466 0.9× 261 0.8× 333 1.6× 434 2.2× 173 0.9× 98 1.6k
Leslie J. C. Bluck 364 0.7× 225 0.7× 177 0.8× 147 0.7× 152 0.8× 49 1.2k
Rousseau Gama 387 0.8× 456 1.3× 180 0.8× 227 1.1× 118 0.6× 130 1.6k
Songlin Yu 299 0.6× 326 1.0× 286 1.3× 95 0.5× 185 1.0× 108 1.4k
Akemi Morita 322 0.6× 137 0.4× 150 0.7× 107 0.5× 184 1.0× 66 1.2k

Countries citing papers authored by Suhad Bahijri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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