Sten Schytte

676 citations
24 papers · 465 indexed · h-index 12

Sten Schytte

21 papers receiving 464 citations

Peers

Sten Schytte
Comparison fields: 5 of 49
  • Endocrinology, Diabetes and Metabolism 279
  • Otorhinolaryngology 33
  • Surgery 271
  • Anesthesiology and Pain Medicine 29
  • Oncology 133
Replace Henrik Baymler Pedersen with:
Henrik Baymler Pedersen Denmark
Corrado Pedroni Italy
Yeo‐Hoon Yoon South Korea
Vergilius José Furtado de Araújo Filho Brazil
Verter Barbieri Italy
Umberto Caliceti Italy
C. Cartier France
Claude Ghorra Lebanon
Eugenie Du United States
Peter Grupe Denmark
Sten Schytte relative to Henrik Baymler Pedersen Denmark Henrik Baymler Pedersen's profile →
Citations per field
00.5×1.5×
Henrik Baymler Pedersen · 1×
Citations per year

Countries citing papers authored by Sten Schytte

Since Specialization
Citations

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

Fields of papers citing papers by Sten Schytte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 201943
5 20191
6 20197
7 201917
8 201822
9 201828
10 201820
11 20185
12 201811
13 201611
14 20161
15 20151
16 201568
17 201420
18 201463
19 201354
20 201349

About Sten Schytte

Sten Schytte is a scholar working on Anesthesiology and Pain Medicine, Health Informatics, Endocrinology, Diabetes and Metabolism, Otorhinolaryngology and Surgery, having authored 24 papers that have together received 465 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Tracheal and airway disorders (6 papers), Airway Management and Intubation Techniques (5 papers), Global Cancer Incidence and Screening (5 papers), Esophageal and GI Pathology (5 papers), BRCA gene mutations in cancer (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Thyroid and Parathyroid Surgery (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (279 citations), Otorhinolaryngology (33 citations), Surgery (271 citations), Anesthesiology and Pain Medicine (29 citations) and Oncology (133 citations). Sten Schytte has collaborated with scholars based in Denmark, Norway and Spain. Frequent co-authors include Christian Godballe, Henrik Baymler Pedersen, Stefano Christian Londero, Annelise Krogdahl, Christoffer Holst Hahn, Peer Christiansen, Jens Overgaard, Lars Bastholt, Jens Bentzen and Jes Sloth Mathiesen. Their work appears in journals such as European Archives of Oto-Rhino-Laryngology, Cancer Epidemiology, Thyroid, Endocrine Connections and Clinical Epidemiology.

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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