Nael Shaat

3.6k total citations
27 papers, 909 citations indexed

About

Nael Shaat is a scholar working on Obstetrics and Gynecology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Nael Shaat has authored 27 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Obstetrics and Gynecology, 12 papers in Surgery and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Nael Shaat's work include Gestational Diabetes Research and Management (16 papers), Diabetes and associated disorders (10 papers) and Pancreatic function and diabetes (8 papers). Nael Shaat is often cited by papers focused on Gestational Diabetes Research and Management (16 papers), Diabetes and associated disorders (10 papers) and Pancreatic function and diabetes (8 papers). Nael Shaat collaborates with scholars based in Sweden, United States and Denmark. Nael Shaat's co-authors include Kerstin Berntorp, Leif Groop, P. Almgren, Åke Lernmark, Magnus Ekelund, L. Groop, Anastasia Katsarou, Karl Kristensen, Eva Nordberg Karlsson and Nana Wiberg and has published in prestigious journals such as PLoS ONE, Scientific Reports and Diabetologia.

In The Last Decade

Nael Shaat

25 papers receiving 878 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nael Shaat Sweden 16 619 350 298 297 204 27 909
Elizabeth Ballantyne United Kingdom 8 227 0.4× 299 0.9× 224 0.8× 268 0.9× 300 1.5× 9 705
A. Garofano France 7 247 0.4× 231 0.7× 191 0.6× 482 1.6× 95 0.5× 9 732
Magnus Ekelund Sweden 14 243 0.4× 297 0.8× 375 1.3× 101 0.3× 184 0.9× 30 675
Beverley Shields United Kingdom 13 78 0.1× 629 1.8× 369 1.2× 115 0.4× 440 2.2× 13 844
Giuseppe Scirè Italy 13 116 0.2× 74 0.2× 193 0.6× 213 0.7× 167 0.8× 31 654
Miira M. Klemetti Finland 15 695 1.1× 264 0.8× 78 0.3× 341 1.1× 18 0.1× 35 828
Tamar Eshkoli Israel 11 309 0.5× 108 0.3× 125 0.4× 328 1.1× 87 0.4× 36 624
Anne Cathrine B. Thuesen Denmark 13 238 0.4× 120 0.3× 62 0.2× 185 0.6× 24 0.1× 27 454
Serena Ottanelli Italy 11 202 0.3× 55 0.2× 77 0.3× 140 0.5× 43 0.2× 26 413
Nicolette J. T. Arends Netherlands 12 118 0.2× 68 0.2× 183 0.6× 269 0.9× 63 0.3× 23 529

Countries citing papers authored by Nael Shaat

Since Specialization
Citations

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

Fields of papers citing papers by Nael Shaat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nael Shaat

This figure shows the co-authorship network connecting the top 25 collaborators of Nael Shaat. A scholar is included among the top collaborators of Nael Shaat 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 Nael Shaat. Nael Shaat 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.
Shaat, Nael, et al.. (2025). Unmasking Gastroparesis in Diabetes During Ramadan: Challenges and Management Strategies. Journal of Clinical Medicine. 14(6). 1997–1997.
2.
3.
Shaat, Nael, et al.. (2023). Cancer, cardiovascular disease, and all-cause mortality in Iraqi- and Swedish-born individuals in Sweden: the MEDIM cohort study. Scientific Reports. 13(1). 6129–6129. 1 indexed citations
4.
Shaat, Nael, et al.. (2022). Insulin secretion and action with increasing age - A comparison between Middle Eastern immigrants and native Swedes. Heliyon. 8(10). e10913–e10913. 1 indexed citations
5.
Prasad, Rashmi B., Karl Kristensen, Anastasia Katsarou, & Nael Shaat. (2021). Association of single nucleotide polymorphisms with insulin secretion, insulin sensitivity, and diabetes in women with a history of gestational diabetes mellitus. BMC Medical Genomics. 14(1). 274–274. 13 indexed citations
6.
Kristensen, Karl, Anne‐Marie Wangel, Anastasia Katsarou, et al.. (2020). Diagnosis of Gestational Diabetes Mellitus with Point-of-Care Methods for Glucose versus Hospital Laboratory Method Using Isotope Dilution Gas Chromatography-Mass Spectrometry as Reference. Journal of Diabetes Research. 2020. 1–10. 8 indexed citations
7.
8.
Shaat, Nael, et al.. (2017). Fetal overgrowth in women with type 1 and type 2 diabetes mellitus. PLoS ONE. 12(11). e0187917–e0187917. 50 indexed citations
9.
Shaat, Nael, et al.. (2016). HbA1c as a predictor of diabetes after gestational diabetes mellitus. Primary care diabetes. 11(1). 46–51. 24 indexed citations
10.
Shaat, Nael, et al.. (2013). The impact of ethnicity on glucose homeostasis after gestational diabetes mellitus. Acta Diabetologica. 50(6). 927–934. 25 indexed citations
11.
Ekelund, Magnus, Nael Shaat, P. Almgren, et al.. (2012). Genetic prediction of postpartum diabetes in women with gestational diabetes mellitus. Diabetes Research and Clinical Practice. 97(3). 394–398. 35 indexed citations
12.
Παπαδοπούλου, Αναστασία, K. F. Lynch, Nael Shaat, et al.. (2011). Gestational diabetes mellitus is associated with TCF7L2 gene polymorphisms independent of HLA‐DQB1*0602 genotypes and islet cell autoantibodies. Diabetic Medicine. 28(9). 1018–1027. 33 indexed citations
13.
Ekholm, Eeva, Nael Shaat, & Jens J. Holst. (2011). Characterization of beta cell and incretin function in patients with MODY1 (HNF4A MODY) and MODY3 (HNF1A MODY) in a Swedish patient collection. Acta Diabetologica. 49(5). 349–354. 9 indexed citations
14.
Elgzyri, Targ, et al.. (2008). Immigrants from the Middle‐East have a different form of Type 2 diabetes compared with Swedish patients. Diabetic Medicine. 25(3). 303–307. 33 indexed citations
15.
Karlsson, Eva Nordberg, Nael Shaat, & Leif Groop. (2008). Can complement factors 5 and 8 and transthyretin be used as biomarkers for MODY 1 (HNF4A‐MODY) and MODY 3 (HNF1A‐MODY)?. Diabetic Medicine. 25(7). 788–791. 18 indexed citations
16.
Shaat, Nael & Leif Groop. (2007). Genetics of Gestational Diabetes Mellitus. Current Medicinal Chemistry. 14(5). 569–583. 84 indexed citations
17.
Shaat, Nael, Åke Lernmark, Eva Nordberg Karlsson, et al.. (2007). A variant in the transcription factor 7-like 2 (TCF7L2) gene is associated with an increased risk of gestational diabetes mellitus. Diabetologia. 50(5). 972–979. 86 indexed citations
18.
Shaat, Nael, Eva Nordberg Karlsson, Åke Lernmark, et al.. (2006). Common variants in MODY genes increase the risk of gestational diabetes mellitus. Diabetologia. 49(7). 1545–1551. 49 indexed citations
19.
Shaat, Nael, M. Ekelund, Åke Lernmark, et al.. (2005). Association of the E23K polymorphism in the KCNJ11 gene with gestational diabetes mellitus. Diabetologia. 48(12). 2544–2551. 74 indexed citations
20.
Ivarsson, Sten A., Å. Nilsson, Roland Perfekt, et al.. (2004). Genotypic and phenotypic differences between Arabian and Scandinavian women with gestational diabetes mellitus. Diabetologia. 47(5). 878–884. 48 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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