Nadia Sakati

2.9k total citations
78 papers, 1.7k citations indexed

About

Nadia Sakati is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Nadia Sakati has authored 78 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 27 papers in Genetics and 20 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Nadia Sakati's work include Metabolism and Genetic Disorders (13 papers), Diabetes Management and Research (8 papers) and Genomic variations and chromosomal abnormalities (7 papers). Nadia Sakati is often cited by papers focused on Metabolism and Genetic Disorders (13 papers), Diabetes Management and Research (8 papers) and Genomic variations and chromosomal abnormalities (7 papers). Nadia Sakati collaborates with scholars based in Saudi Arabia, United States and United Kingdom. Nadia Sakati's co-authors include Nicholas Woodhouse, R D Milner, Arne Ohlsson, Pinar T. Ozand, Abdullah Al‐Ashwal, Joy D. Cogan, William L. Nyhan, Sami A. Sanjad, Bassam Bin‐Abbas and William S. Sly and has published in prestigious journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and The American Journal of Human Genetics.

In The Last Decade

Nadia Sakati

78 papers receiving 1.6k citations

Peers

Nadia Sakati
Comparison fields: 5 of 98
  • Molecular Biology 819
  • Genetics 546
  • Endocrinology, Diabetes and Metabolism 348
  • Surgery 215
  • Pediatrics, Perinatology and Child Health 160
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Citations per field, relative to Nadia Sakati
Nadia Sakati · 1×
Citations per year, relative to Nadia Sakati
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Countries citing papers authored by Nadia Sakati

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Sakati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Sakati

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Sakati. A scholar is included among the top collaborators of Nadia Sakati 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 Nadia Sakati. Nadia Sakati 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
# Work Indexed citations
1 12
2 15
3 14
4 8
5 5
6 17
7 94
8
Comparison of Insulin Pump and Multiple Daily Injection Regimens in Type 1 Diabetic Patients
1
9 19
10
Mutation of a tubulin folding gene, TCFE, causes the autosomal recessive Kenny-Caffey syndrome
1
11 27
12 2
13 39
14 7
15 11
16 11
17 29
18 26
19 23
20 26

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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