Asma Deeb

3.7k citations
98 papers · 1.4k · h-index 22

Impact in

    • Diabetes Management and Research
    • Hormonal and reproductive studies
    • Growth Hormone and Insulin-like Growth Factors
  • Genetics top 5%
    • Diabetes and associated disorders
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

Asma Deeb

88 papers receiving 1.4k citations

Peers

Asma Deeb
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 580
  • Genetics 329
  • Urology 56
  • Nephrology 52
  • Surgery 296
Replace Ron S. Newfield with:
Ron S. Newfield United States
Teoman Akçay Türkiye
Christine Burren United Kingdom
Jerzy Starzyk Poland
Chunxiu Gong China
Martin Holder Germany
Seizo Suwa Japan
Annick Van den Bruel Belgium
Ikuma Fujiwara Japan
Klaus Kapelari Austria
Asma Deeb relative to Ron S. Newfield United States Ron S. Newfield's profile →
Citations per field
00.5×2.8×
Ron S. Newfield · 1×
Citations per year

Countries citing papers authored by Asma Deeb

Since Specialization
Citations

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

Fields of papers citing papers by Asma Deeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Asma Deeb, 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 Asma Deeb Line = papers co-authored together Asma Deeb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009104
2 2006101
3 201772
4 200567
5 200950
6 201943
7 200642
8 201642
9 201841
10 200537
11 201735
12 201532
13 201430
14 201528
15 201926
16 201726
17 201226
18 201925
19 201624
20 202123

About Asma Deeb

Asma Deeb is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Genetics and Physiology, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes Management and Research (16 papers), Sexual Differentiation and Disorders (14 papers), Pancreatic function and diabetes (13 papers), Dietary Effects on Health (10 papers), Diabetes and associated disorders (9 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Thyroid Disorders and Treatments (4 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (580 citations), Genetics (329 citations), Urology (56 citations), Nephrology (52 citations) and Surgery (296 citations). Asma Deeb has collaborated with scholars based in United Arab Emirates, United Kingdom and Saudi Arabia. Frequent co-authors include Ieuan A. Hughes, Nico Nagelkerke, Abdelhadi Habeb, Yung Seng Lee, Sarah E. Flanagan, Abubaker Elfatih, Sian Ellard, Salem Beshyah, Nancy Samir Elbarbary and Andrew T. Hattersley. Their work appears in journals such as Pediatric Diabetes, Hormone Research in Paediatrics, Diabetes Research and Clinical Practice, Diabetes Technology & Therapeutics and Diabetes Therapy.

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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