Mette Bjerre

117 papers receiving 2.7k citations

Peers

Mette Bjerre
Comparison fields: 5 of 105
  • Emergency Medicine 367
  • Critical Care and Intensive Care Medicine 157
  • Endocrinology, Diabetes and Metabolism 470
  • Immunology 589
  • Cardiology and Cardiovascular Medicine 474
Replace Michael Frink with:
Michael Frink Germany
Thomas Mussack Germany
Jae Woo Lee United States
Pascale Roux‐Lombard Switzerland
Josep M. Grau Spain
Philippe Gajdos France
Jon A. Buras United States
W.D. Fraser United Kingdom
Thijs Hendriks Netherlands
Barna Vásárhelyi Hungary
Mette Bjerre relative to Michael Frink Germany Michael Frink's profile →
Citations per field
00.5×2.9×
Michael Frink · 1×
Citations per year

Countries citing papers authored by Mette Bjerre

Since Specialization
Citations

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

Fields of papers citing papers by Mette Bjerre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012132
2 2015132
3 201495
4 202091
5 201679
6 201073
7 201767
8 201462
9 201360
10 201053
11 201253
12 201150
13 201148
14 201045
15 201542
16 201342
17 201340
18 201139
19 201339
20 201336

About Mette Bjerre

Mette Bjerre is a scholar working on Molecular Biology, Immunology, Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine, having authored 120 papers that have together received 2.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (17 papers), Complement system in diseases (15 papers), Bone Metabolism and Diseases (15 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers), Biomarkers in Disease Mechanisms (14 papers), Adipose Tissue and Metabolism (11 papers), Diabetes and associated disorders (9 papers) and Cardiac Arrest and Resuscitation (8 papers). The work is most often cited by research in Emergency Medicine (367 citations), Critical Care and Intensive Care Medicine (157 citations), Endocrinology, Diabetes and Metabolism (470 citations), Immunology (589 citations) and Cardiology and Cardiovascular Medicine (474 citations). Mette Bjerre has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Allan Flyvbjerg, Jan Frystyk, Rasmus Møgelvang, Jan Skov Jensen, Jesper Kjærgaard, Christian Hassager, John Bro‐Jeppesen, Troels Krarup Hansen, Sune Pedersen and Søren Lindberg. Their work appears in journals such as Diabetes Care, Resuscitation, The Journal of Clinical Endocrinology & Metabolism, Growth Hormone & IGF Research and The American Journal of Cardiology.

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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