Georges Halaby

2.4k total citations
46 papers, 1.5k citations indexed

About

Georges Halaby is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Georges Halaby has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Pathology and Forensic Medicine and 10 papers in Surgery. Recurrent topics in Georges Halaby's work include Vitamin D Research Studies (12 papers), Vitamin C and Antioxidants Research (6 papers) and Diabetes and associated disorders (5 papers). Georges Halaby is often cited by papers focused on Vitamin D Research Studies (12 papers), Vitamin C and Antioxidants Research (6 papers) and Diabetes and associated disorders (5 papers). Georges Halaby collaborates with scholars based in Lebanon, United States and France. Georges Halaby's co-authors include Marie‐Hélène Gannagé‐Yared, Simon Khalifé, Rafic Baddoura, S Jambart, Marie‐Paule Lefranc, Jacques Loiselet, Paul Mangeat, Ronald T. Hay, Françoise Pons and Isabelle Richard and has published in prestigious journals such as Nature Medicine, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Georges Halaby

44 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Georges Halaby 606 324 300 266 256 46 1.5k
Jozef Laureys 791 1.3× 197 0.6× 305 1.0× 357 1.3× 129 0.5× 24 1.6k
Gábor Speer 327 0.5× 374 1.2× 121 0.4× 204 0.8× 354 1.4× 53 1.5k
Amy E. Riek 876 1.4× 194 0.6× 350 1.2× 90 0.3× 309 1.2× 19 1.5k
Sang Whay Kooh 593 1.0× 458 1.4× 431 1.4× 317 1.2× 98 0.4× 68 2.2k
Tânia Weber Furlanetto 360 0.6× 164 0.5× 236 0.8× 624 2.3× 119 0.5× 58 1.4k
Ute Zeitz 862 1.4× 600 1.9× 554 1.8× 156 0.6× 111 0.4× 25 2.1k
Despoina Manousaki 557 0.9× 171 0.5× 210 0.7× 138 0.5× 107 0.4× 38 1.2k
Carlos Encinas Dominguez 1.4k 2.3× 345 1.1× 348 1.2× 239 0.9× 114 0.4× 6 1.8k
G. Luisetto 281 0.5× 411 1.3× 118 0.4× 270 1.0× 195 0.8× 74 1.6k
Lan-Juan Zhao 303 0.5× 404 1.2× 105 0.3× 154 0.6× 131 0.5× 27 1.3k

Countries citing papers authored by Georges Halaby

Since Specialization
Citations

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

Fields of papers citing papers by Georges Halaby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georges Halaby. 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 Georges Halaby. The network helps show where Georges Halaby may publish in the future.

Co-authorship network of co-authors of Georges Halaby

This figure shows the co-authorship network connecting the top 25 collaborators of Georges Halaby. A scholar is included among the top collaborators of Georges Halaby 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 Georges Halaby. Georges Halaby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Smayra, Tarek, et al.. (2019). Classification and Regression Tree (CART) model of sonographic signs in predicting thyroid nodules malignancy. European Journal of Radiology Open. 6. 343–349. 4 indexed citations
2.
Rahme, Maya, Laila Al‐Shaar, Ravinder J. Singh, et al.. (2018). Limitations of platform assays to measure serum 25OHD level impact on guidelines and practice decision making. Metabolism. 89. 1–7. 13 indexed citations
3.
Fuleihan, Ghada El‐Hajj, Rafic Baddoura, Robert Habib, et al.. (2016). Effect of vitamin D replacement on indexes of insulin resistance in overweight elderly individuals: a randomized controlled trial. American Journal of Clinical Nutrition. 104(2). 315–323. 31 indexed citations
4.
Atallah, David, et al.. (2014). Bilateral Ovary Adrenal Rest Tumor in a Congenital Adrenal Hyperplasia Following Adrenalectomy. Endocrine Practice. 20(4). e69–e74. 15 indexed citations
5.
Hoteit, Maha, Asma Arabi, Robert Habib, et al.. (2013). Estrogen receptor α is not a candidate gene for metabolic syndrome in Caucasian elderly subjects. Metabolism. 63(1). 50–60. 3 indexed citations
6.
7.
Daly, Adrian, Anne Barlier, Marie‐Lise Jaffrain‐Rea, et al.. (2009). High Incidence of AIP mutations in sporadic pituitary adenomas in young patients with macroadenomas. Open Repository and Bibliography (University of Liège). 5 indexed citations
8.
Gannagé‐Yared, Marie‐Hélène, et al.. (2009). Predictors of intra-operative parathyroid hormone decline in subjects operated for primary hyperparathyroidism by minimally invasive parathyroidectomy. Journal of Endocrinological Investigation. 32(2). 160–164. 13 indexed citations
9.
Halaby, Georges, et al.. (2009). Multiple pancreatic insulinomas: multislice CT. Abdominal Imaging. 35(6). 690–693. 4 indexed citations
10.
Abifadel, Marianne, Georges Halaby, Antoine Sarkis, et al.. (2009). The molecular basis of familial hypercholesterolemia in Lebanon: Spectrum ofLDLRmutations and role ofPCSK9as a modifier gene. Human Mutation. 30(7). E682–E691. 77 indexed citations
11.
Gannagé‐Yared, Marie‐Hélène, et al.. (2006). Serum adiponectin and leptin levels in relation to the metabolic syndrome, androgenic profile and somatotropic axis in healthy non-diabetic elderly men. European Journal of Endocrinology. 155(1). 167–176. 115 indexed citations
12.
Gannagé‐Yared, Marie‐Hélène, et al.. (2005). Pravastatin does not affect insulin sensitivity and adipocytokines levels in healthy nondiabetic patients. Metabolism. 54(7). 947–951. 67 indexed citations
13.
Shbaklo, Hadia, Sami T. Azar, Henry Terwedow, et al.. (2003). No association between the −1031 polymorphism in the TNF-α promoter region and type 1 diabetes. Human Immunology. 64(6). 633–638. 5 indexed citations
14.
Gannagé‐Yared, Marie‐Hélène, et al.. (2003). Effects of a short-term calcium and vitamin D treatment on serum cytokines, bone markers, insulin and lipid concentrations in healthy post-menopausal women. Journal of Endocrinological Investigation. 26(8). 748–753. 74 indexed citations
15.
Zalloua, Pierre, Henry Terwedow, Hadia Shbaklo, et al.. (2003). Host and Environmental Factors Defining the Epidemiology of Type 1 Diabetes Mellitus in a Group of Lebanese Children and Young Adults. Journal of Pediatric Endocrinology and Metabolism. 16(5). 759–69. 6 indexed citations
16.
Medlej, R., et al.. (2002). [Endocrinologic recovery after treatment of an intrasellar aneurysm].. PubMed. 48(5). 333–7. 4 indexed citations
17.
Génin, Emmanuelle, Angela Huebner, Georges Halaby, et al.. (2002). Linkage of one gene for familial glucocorticoid deficiency type 2 (FGD2) to chromosome 8q and further evidence of heterogeneity. Human Genetics. 111(4-5). 428–434. 23 indexed citations
18.
Medlej, R., et al.. (2001). Malignant Struma Ovarii: An Unusual Presentation. Thyroid. 11(9). 889–892. 39 indexed citations
19.
Baghdiguian, Stephen, Marianne Martin, Isabelle Richard, et al.. (1999). Calpain 3 deficiency is associated with myonuclear apoptosis and profound perturbation of the IκBα/NF-κB pathway in limb-girdle muscular dystrophy type 2A. Nature Medicine. 5(5). 503–511. 240 indexed citations
20.

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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