Nadia Sakati
- Molecular Biology top 10%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Nicholas WoodhouseR D MilnerArne OhlssonPinar T. OzandAbdullah Al‐AshwalJoy D. CoganWilliam L. NyhanSami A. Sanjad
- Topics
- Metabolism and Genetic Disorders (13 papers)Diabetes Management and Research (8 papers)Genomic variations and chromosomal abnormalities (7 papers)
- Journals
- New England Journal of MedicineThe Journal of Clinical Endocrinology & MetabolismThe American Journal of Human Genetics
- Partner nations
- Saudi ArabiaUnited StatesUnited Kingdom
In The Last Decade
Nadia Sakati
78 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 819
- Genetics 546
- Endocrinology, Diabetes and Metabolism 348
- Surgery 215
- Pediatrics, Perinatology and Child Health 160
Countries citing papers authored by Nadia Sakati
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
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
| # | 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 |
About Nadia Sakati
Nadia Sakati is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Genetics, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (13 papers), Diabetes Management and Research (8 papers) and Genomic variations and chromosomal abnormalities (7 papers). The work is most often cited by research in Clinical Biochemistry (144 citations), Endocrinology, Diabetes and Metabolism (348 citations) and Genetics (546 citations). Nadia Sakati has collaborated with scholars based in Saudi Arabia, United States and United Kingdom. Frequent 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. Their work appears in journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and The American Journal of Human Genetics.
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.