Tina Vilsbøll

35.2k citations
455 papers · 20.3k indexed · 6 hit papers · h-index 73

Tina Vilsbøll

434 papers receiving 19.9k citations

Hit Papers

Revisiti...7520012026200920174008001.2k

Peers

Tina Vilsbøll
Comparison fields: 5 of 151
  • Endocrinology, Diabetes and Metabolism 14.9k
  • Endocrine and Autonomic Systems 1.5k
  • Surgery 8.1k
  • Pharmacology 2.6k
  • Physiology 3.4k
Replace Filip K. Knop with:
Filip K. Knop Denmark
Juris J. Meier Germany
Sten Madsbad Denmark
Yutaka Seino Japan
André Scheen Belgium
Julio Rosenstock United States
Suad Efendić Sweden
Robert R. Henry United States
Michaëla Diamant Netherlands
Carel W. le Roux Ireland
Tina Vilsbøll relative to Filip K. Knop Denmark Filip K. Knop's profile →
Citations per field
00.5×1.5×
Filip K. Knop · 1×
Citations per year

Countries citing papers authored by Tina Vilsbøll

Since Specialization
Citations

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

Fields of papers citing papers by Tina Vilsbøll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20248
3 20249
4 20233
5 202316
6 20221
7 20213
8 202119
9 202019
10 202027
11 202034
12 20203
13 20206
14 201916
15 201915
16 201845
17 201775
18 201666
19
Glucagon-like peptide-1 and diabetes treatment
20091
20
Lixisenatide, a novel GLP-1 receptor agonist for the treatment of type 2 diabetes mellitus.
200960

About Tina Vilsbøll

Tina Vilsbøll is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Endocrine and Autonomic Systems, having authored 455 papers that have together received 20.3k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (295 papers), Diabetes Management and Research (156 papers), Pancreatic function and diabetes (128 papers), Metabolism, Diabetes, and Cancer (100 papers), Diet and metabolism studies (66 papers), Pharmacology and Obesity Treatment (32 papers), Liver Disease Diagnosis and Treatment (31 papers) and Diabetes and associated disorders (23 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (14.9k citations), Endocrine and Autonomic Systems (1.5k citations) and Surgery (8.1k citations). Tina Vilsbøll has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Filip K. Knop, Jens J. Holst, Thure Krarup, Sten Madsbad, Mikkel Christensen, Asger Lund, Carolyn F. Deacon, Lise Lotte Gluud, Jonatan I. Bagger and Bolette Hartmann. Their work appears in journals such as New England Journal of Medicine, JAMA and SHILAP Revista de lepidopterología.

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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