Daniela Choukair

638 citations
39 papers · 412 · h-index 13

Impact in

Papers in

Daniela Choukair

37 papers receiving 404 citations

Peers

Daniela Choukair
Comparison fields: 5 of 70
  • Speech and Hearing 30
  • Endocrinology, Diabetes and Metabolism 88
  • Clinical Biochemistry 20
  • Genetics 108
  • Health Informatics 6
Replace Craig A. Alter with:
Craig A. Alter United States
Yuji Oto Japan
Maryse Cartigny France
Annette Richter-Unruh Germany
E Cacciari Italy
Semih Bolu Türkiye
Hideya Sakakibara Japan
Angham Almutair Saudi Arabia
Christel Chalouhi France
I. González Casado Spain
Daniela Choukair relative to Craig A. Alter United States Craig A. Alter's profile →
Citations per field
00.5×5×10×15×
Craig A. Alter · 1×
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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201937
2 201432
3 202430
4 202125
5 202325
6 201822
7 201720
8 201618
9 201918
10 202118
11 202317
12 202116
13 201913
14 202013
15 202013
16 201512
17 20229
18 20229
19 20228
20 20238

About Daniela Choukair

Daniela Choukair is a scholar working on Speech and Hearing, Endocrinology, Diabetes and Metabolism, Genetics, Clinical Biochemistry and Health Information Management, having authored 39 papers that have together received 412 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (8 papers), Adolescent and Pediatric Healthcare (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Metabolism and Genetic Disorders (3 papers), Thyroid Disorders and Treatments (3 papers), Pituitary Gland Disorders and Treatments (2 papers), Electronic Health Records Systems (2 papers) and Electrolyte and hormonal disorders (2 papers). The work is most often cited by research in Speech and Hearing (30 citations), Endocrinology, Diabetes and Metabolism (88 citations), Clinical Biochemistry (20 citations), Genetics (108 citations) and Health Informatics (6 citations). Daniela Choukair has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Markus Bettendorf, Burkhard Tönshoff, Georg Friedrich Hoffmann, Lorenz Uhlmann, Ulrike Hügel, Anja Sander, Ioana Monica Inta, Peter Burgard, Corinna Grasemann and Egbert Schulze. Their work appears in journals such as Hormone Research in Paediatrics, Orphanet Journal of Rare Diseases, Clinical Endocrinology, The American Journal of Human Genetics and Journal of Clinical Investigation.

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