May Sanyoura

1.1k total citations
21 papers, 562 citations indexed

About

May Sanyoura is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, May Sanyoura has authored 21 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 13 papers in Surgery and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in May Sanyoura's work include Pancreatic function and diabetes (13 papers), Diabetes and associated disorders (9 papers) and Diabetes Management and Research (4 papers). May Sanyoura is often cited by papers focused on Pancreatic function and diabetes (13 papers), Diabetes and associated disorders (9 papers) and Diabetes Management and Research (4 papers). May Sanyoura collaborates with scholars based in United States, Lebanon and United Kingdom. May Sanyoura's co-authors include Louis H. Philipson, Rochelle N. Naylor, Siri Atma W. Greeley, Lisa R. Letourneau, Pierre Zalloua, Daniela del Gaudio, Laura T. Dickens, Amy E. Knight Johnson, Elisa De Franco and Cécile Julier and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Annals of Neurology.

In The Last Decade

May Sanyoura

21 papers receiving 551 citations

Peers

May Sanyoura
Sarah Brickwood United Kingdom
May Sanyoura
Citations per year, relative to May Sanyoura May Sanyoura (= 1×) peers Sarah Brickwood

Countries citing papers authored by May Sanyoura

Since Specialization
Citations

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

Fields of papers citing papers by May Sanyoura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of May Sanyoura

This figure shows the co-authorship network connecting the top 25 collaborators of May Sanyoura. A scholar is included among the top collaborators of May Sanyoura 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 May Sanyoura. May Sanyoura 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.
Timberlake, Andrew T., Garrett Allington, Emre Kiziltug, et al.. (2023). De novo variants implicate chromatin modification, transcriptional regulation, and retinoic acid signaling in syndromic craniosynostosis. The American Journal of Human Genetics. 110(5). 846–862. 11 indexed citations
2.
Letourneau, Lisa R., May Sanyoura, Graeme I. Bell, et al.. (2021). Insight on Diagnosis and Treatment From Over a Decade of Research Through the University of Chicago Monogenic Diabetes Registry. Frontiers in Clinical Diabetes and Healthcare. 2. 9 indexed citations
3.
Sanyoura, May, et al.. (2021). Novel compound heterozygous LRBA deletions in a 6-month-old with neonatal diabetes. Diabetes Research and Clinical Practice. 175. 108798–108798. 6 indexed citations
4.
Haliyur, Rachana, John T. Walker, May Sanyoura, et al.. (2021). Integrated Analysis of the Pancreas and Islets Reveals Unexpected Findings in Human Male With Type 1 Diabetes. Journal of the Endocrine Society. 5(12). bvab162–bvab162. 1 indexed citations
5.
Wong, Darice Y., Claudio M. de Gusmão, May Sanyoura, et al.. (2020). Prevalence of RFC1 -mediated spinocerebellar ataxia in a North American ataxia cohort. Neurology Genetics. 6(3). e440–e440. 32 indexed citations
6.
Wong, Darice Y., Claudio M. de Gusmão, May Sanyoura, et al.. (2020). Prevalence of RFC1-Mediated Spinocerebellar Ataxia in a North American Ataxia Cohort. Annals of Neurology. 88. 3 indexed citations
7.
Kishore, Siddharth, Elisa De Franco, Fabian L. Cardenas‐Diaz, et al.. (2020). A Non-Coding Disease Modifier of Pancreatic Agenesis Identified by Genetic Correction in a Patient-Derived iPSC Line. Cell stem cell. 27(1). 137–146.e6. 19 indexed citations
8.
Franco, Elisa De, Cécile Saint‐Martin, Klaus Brusgaard, et al.. (2020). Update of variants identified in the pancreatic β‐cell K ATP channel genes KCNJ11 and ABCC8 in individuals with congenital hyperinsulinism and diabetes. Human Mutation. 41(5). 884–905. 107 indexed citations
9.
Sanyoura, May, Lisa R. Letourneau, Amy E. Knight Johnson, et al.. (2019). GCK-MODY in the US Monogenic Diabetes Registry: Description of 27 unpublished variants. Diabetes Research and Clinical Practice. 151. 231–236. 10 indexed citations
10.
Haliyur, Rachana, Xin Tong, May Sanyoura, et al.. (2018). Human islets expressing HNF1A variant have defective β cell transcriptional regulatory networks. Journal of Clinical Investigation. 129(1). 246–251. 60 indexed citations
11.
Sanyoura, May, Louis H. Philipson, & Rochelle N. Naylor. (2018). Monogenic Diabetes in Children and Adolescents: Recognition and Treatment Options. Current Diabetes Reports. 18(8). 58–58. 54 indexed citations
12.
Sy, Park, May Sanyoura, David Carmody, et al.. (2018). FOXP3 mutations causing early-onset insulin-requiring diabetes but without other features of immune dysregulation, polyendocrinopathy, enteropathy, X-linked syndrome. Yearbook of pediatric endocrinology. 5 indexed citations
13.
Dickens, Laura T., Lisa R. Letourneau, May Sanyoura, et al.. (2018). Management and pregnancy outcomes of women with GCK-MODY enrolled in the US Monogenic Diabetes Registry. Acta Diabetologica. 56(4). 405–411. 47 indexed citations
14.
Hwang, Jessica, Soo Young Park, Honggang Ye, et al.. (2017). FOXP3 mutations causing early‐onset insulin‐requiring diabetes but without other features of immune dysregulation, polyendocrinopathy, enteropathy, X‐linked syndrome. Pediatric Diabetes. 19(3). 388–392. 24 indexed citations
15.
Sanyoura, May, Laura M. Jacobsen, David Carmody, et al.. (2017). Pancreatic Histopathology of Human Monogenic Diabetes Due to Causal Variants in KCNJ11, HNF1A, GATA6, and LMNA. The Journal of Clinical Endocrinology & Metabolism. 103(1). 35–45. 16 indexed citations
16.
Sanyoura, May, Cédric Woudstra, G Halaby, et al.. (2013). A novel ALMS1 splice mutation in a non-obese juvenile-onset insulin-dependent syndromic diabetic patient. European Journal of Human Genetics. 22(1). 140–143. 19 indexed citations
17.
Munro, Janet, Olivia Anna Skrobot, May Sanyoura, et al.. (2011). Relaxin polymorphisms associated with metabolic disturbance in patients treated with antipsychotics. Journal of Psychopharmacology. 26(3). 374–379. 30 indexed citations
18.
Seoud, M., Anwar H. Nassar, Pierre Zalloua, et al.. (2010). Prenatal and neonatal Group B Streptococcus screening and serotyping in Lebanon: incidence and implications. Acta Obstetricia Et Gynecologica Scandinavica. 89(3). 399–403. 22 indexed citations
19.
El‐Sibai, Mirvat, Daniel E. Platt, Marc Haber, et al.. (2009). Geographical Structure of the Y‐chromosomal Genetic Landscape of the Levant: A coastal‐inland contrast. Annals of Human Genetics. 73(6). 568–581. 44 indexed citations
20.
Zalloua, Pierre, Sami T. Azar, Marc Délepine, et al.. (2008). WFS1 mutations are frequent monogenic causes of juvenile-onset diabetes mellitus in Lebanon. Human Molecular Genetics. 17(24). 4012–4021. 42 indexed citations

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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