Mette Bjerre

121 papers receiving 3.0k citations

Peers

Mette Bjerre
Comparison fields: 5 of 103
  • Emergency Medicine 322
  • Endocrinology, Diabetes and Metabolism 419
  • Immunology 539
  • Critical Care and Intensive Care Medicine 94
  • Nephrology 120
Replace Annika Elisabet Michelsen with:
Annika Elisabet Michelsen Norway
Peter Fraunberger Austria
Georg Endler Austria
Michael Frink Germany
Pascale Roux‐Lombard Switzerland
Jon A. Buras United States
Gene F. Coppa United States
Thomas Mussack Germany
Tamotsu Matsuda Japan
Josep Maria Grau Spain
Mette Bjerre relative to Annika Elisabet Michelsen Norway Annika Elisabet Michelsen's profile →
Citations per field
00.5×2×3.2×
Annika Elisabet Michelsen · 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 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012154
2 2015143
3 2014109
4 2020105
5 201689
6 201083
7 202183
8 201774
9 201468
10 201359
11 201255
12 201055
13 201152
14 201151
15 201346
16 201045
17 201544
18 201343
19 201341
20 201140

About Mette Bjerre

Mette Bjerre is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology, Emergency Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 124 papers that have together received 3.1k indexed citations. Recurring topics across this work include Complement system in diseases (17 papers), Growth Hormone and Insulin-like Growth Factors (16 papers), Bone Metabolism and Diseases (15 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Cardiac Arrest and Resuscitation (7 papers), Fibroblast Growth Factor Research (5 papers), Biomarkers in Disease Mechanisms (5 papers) and Cardiovascular Disease and Adiposity (4 papers). The work is most often cited by research in Emergency Medicine (322 citations), Endocrinology, Diabetes and Metabolism (419 citations), Immunology (539 citations), Critical Care and Intensive Care Medicine (94 citations) and Nephrology (120 citations). Mette Bjerre has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Allan Flyvbjerg, Jan Frystyk, Jan Skov Jensen, Rasmus Møgelvang, Christian Hassager, Jesper Kjærgaard, John Bro‐Jeppesen, Troels Krarup Hansen, Sune Haahr Pedersen and Søren Østergaard Lindberg. Their work appears in journals such as Diabetes Care, The Journal of Clinical Endocrinology & Metabolism, Resuscitation, Growth Hormone & IGF Research and European Journal of Endocrinology.

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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