Tea Skaaby

75 papers receiving 1.9k citations

Peers

Tea Skaaby
Comparison fields: 5 of 95
  • Pathology and Forensic Medicine 660
  • Immunology and Allergy 193
  • Gastroenterology 111
  • Dermatology 131
  • Orthopedics and Sports Medicine 120
Replace Gaetana Di Fede with:
Gaetana Di Fede Italy
Susanne Hansen Denmark
Brett D. Mahon United States
Nipith Charoenngam Thailand
Mara De Amici Italy
Monica Froicu United States
Endre V. Nagy Hungary
Ritva Sorva Finland
Sue Lester Australia
Maria Grazia Clemente Italy
Tea Skaaby relative to Gaetana Di Fede Italy Gaetana Di Fede's profile →
Citations per field
00.5×5.6×
Gaetana Di Fede · 1×
Citations per year

Countries citing papers authored by Tea Skaaby

Since Specialization
Citations

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

Fields of papers citing papers by Tea Skaaby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014110
2 201288
3 201478
4 201265
5 201364
6 201959
7 201358
8 201754
9 201753
10 201353
11 201552
12 201350
13 201247
14 201546
15 201544
16 201543
17 201641
18 201740
19 201540
20 201237

About Tea Skaaby

Tea Skaaby is a scholar working on Pathology and Forensic Medicine, Physiology, Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Vitamin D Research Studies (21 papers), Asthma and respiratory diseases (8 papers), Vitamin C and Antioxidants Research (5 papers), Thyroid Disorders and Treatments (5 papers), Folate and B Vitamins Research (4 papers), Celiac Disease Research and Management (4 papers), Allergic Rhinitis and Sensitization (3 papers) and Dermatology and Skin Diseases (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (660 citations), Immunology and Allergy (193 citations), Gastroenterology (111 citations), Dermatology (131 citations) and Orthopedics and Sports Medicine (120 citations). Tea Skaaby has collaborated with scholars based in Denmark, Spain and Germany. Frequent co-authors include Allan Linneberg, Betina H. Thuesen, Torben Jørgensen, Lise Lotte N. Husemoen, Charlotta Pisinger, Mogens Fenger, Runa Vavia Fenger, Arturo González‐Quintela, Lars Tue Sørensen and Daniel Mønsted Shabanzadeh. Their work appears in journals such as PLoS ONE, European Journal of Clinical Nutrition, Allergy, Clinical & Experimental Allergy and British Journal of Dermatology.

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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