Daniela Choukair

587 citations
32 papers · 217 · h-index 10

Impact in

Papers in

    • Genomics and Rare Diseases 7
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 4
    • Growth Hormone and Insulin-like Growth Factors 6
    • Thyroid Disorders and Treatments 3

Daniela Choukair

28 papers receiving 216 citations

Peers

Daniela Choukair
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 72
  • Clinical Biochemistry 21
  • Speech and Hearing 18
  • Genetics 70
  • Health Informatics 2
Replace Priyanka Nandakumar with:
Priyanka Nandakumar United States
Han Hyuk Lim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Choukair

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Choukair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201429
2 201821
3 201617
4 201716
5 201915
6 202313
7 202113
8 202010
9 201510
10 202010
11 20199
12 20238
13 20227
14 20216
15 20155
16 20224
17 20234
18 20134
19 20224
20 20212

About Daniela Choukair

Daniela Choukair is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pediatrics, Perinatology and Child Health and Surgery, having authored 32 papers that have together received 217 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Sexual Differentiation and Disorders (6 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Adolescent and Pediatric Healthcare (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Thyroid Disorders and Treatments (3 papers) and Child and Adolescent Health (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (72 citations), Clinical Biochemistry (21 citations), Speech and Hearing (18 citations), Genetics (70 citations) and Health Informatics (2 citations). Daniela Choukair has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Markus Bettendorf, Burkhard Tönshoff, Georg F. Hoffmann, Lorenz Uhlmann, Anja Sander, Ulrike Hügel, Egbert Schulze, Corinna Grasemann, Peter Burgard and Ioana Inta. Their work appears in journals such as Hormone Research in Paediatrics, Orphanet Journal of Rare Diseases, Clinical Endocrinology, Pediatric Rheumatology and Journal of Inherited Metabolic Disease.

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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