Doris Taha

1.3k citations
27 papers · 728 · h-index 13

Impact in

Papers in

Doris Taha

24 papers receiving 700 citations

Peers

Doris Taha
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 257
  • Genetics 348
  • Surgery 311
  • Pathology and Forensic Medicine 61
  • Molecular Biology 220
Replace Anne Lienhardt with:
Anne Lienhardt France
Abdelhadi Habeb Saudi Arabia
Tony Huynh Australia
Sandro Muntoni Italy
Mars Skae United Kingdom
Abdullah Al‐Ashwal Saudi Arabia
A. Gessi Italy
Giada Licata Italy
Timothy M. Mason Canada
RG Rosenfeld United States
Doris Taha relative to Anne Lienhardt France Anne Lienhardt's profile →
Citations per field
00.5×3.2×
Anne Lienhardt · 1×
Citations per year

Countries citing papers authored by Doris Taha

Since Specialization
Citations

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

Fields of papers citing papers by Doris Taha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Doris Taha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Doris Taha Line = papers co-authored together Doris Taha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006296
2 200365
3 201559
4 201347
5 200532
6 200130
7 200829
8 200522
9 200921
10 200619
11 201617
12 200717
13 200213
14
Hyperlipidemia in children with type 2 diabetes mellitus.
200212
15 200410
16 20059
17 20017
18 20086
19 20175
20 20204

About Doris Taha

Doris Taha is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 27 papers that have together received 728 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Diabetes and associated disorders (5 papers), Neonatal Health and Biochemistry (4 papers), Diabetes Management and Research (3 papers), Obesity, Physical Activity, Diet (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Metabolism and Genetic Disorders (2 papers) and Thyroid Disorders and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (257 citations), Genetics (348 citations), Surgery (311 citations), Pathology and Forensic Medicine (61 citations) and Molecular Biology (220 citations). Doris Taha has collaborated with scholars based in United States, Saudi Arabia and Türkiye. Frequent co-authors include Sabine Duchatelet, Hervé Blanc, Valérie Senée, Céline Charon, Daorong Feng, Cécile Julier, Douglas R. Cavener, Marc Nicolino, Claude Chelala and Jack‐Christophe Cossec. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hormone Research in Paediatrics, Nature Genetics, Molecular Genetics and Metabolism and Pediatric Diabetes.

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.

Explore authors with similar magnitude of impact