Birgit Agerholm-Larsen

2.9k citations
29 papers · 2.4k · h-index 19

Impact in

Papers in

Birgit Agerholm-Larsen

29 papers receiving 2.3k citations

Peers

Birgit Agerholm-Larsen
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 600
  • Cardiology and Cardiovascular Medicine 521
  • Critical Care and Intensive Care Medicine 110
  • Surgery 815
  • Biotechnology 133
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Fiona Green United Kingdom
Yuichi Nakamura Japan
Henri Bricaud France
Takemi Akahane Japan
RI Handin United States
Giovanni Cimmino Italy
Takashi Kuwano Japan
Yuri Cho South Korea
Jong Eun Yeon South Korea
Katherine E. Harris United States
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Citations per field
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Citations per year

Countries citing papers authored by Birgit Agerholm-Larsen

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Agerholm-Larsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Birgit Agerholm-Larsen. 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 Birgit Agerholm-Larsen. The network helps show where Birgit Agerholm-Larsen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000253
2 2018231
3 2000230
4 2003228
5 2003219
6 2003167
7 1997156
8 1997143
9 2000116
10 2001101
11 200085
12 201181
13 200179
14 200378
15 199754
16 200834
17 199734
18 201123
19 201120
20 200517

About Birgit Agerholm-Larsen

Birgit Agerholm-Larsen is a scholar working on Endocrinology, Diabetes and Metabolism, Biotechnology, Cardiology and Cardiovascular Medicine, Genetics and Surgery, having authored 29 papers that have together received 2.4k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Microbial Inactivation Methods (7 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Microfluidic and Bio-sensing Technologies (3 papers), Cholesterol and Lipid Metabolism (3 papers), Hormonal Regulation and Hypertension (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (600 citations), Cardiology and Cardiovascular Medicine (521 citations), Critical Care and Intensive Care Medicine (110 citations), Surgery (815 citations) and Biotechnology (133 citations). Birgit Agerholm-Larsen has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Børge Grønne Nordestgaard, Anne Tybjærg‐Hansen, Laurent O. Martinez, Wengen Chen, Alan R. Tall, Rolf Steffensen, Gorm Gruner Jensen, Nan Wang, David L. Silver and Patrick Linsel‐Nitschke. Their work appears in journals such as Diabetologia, Journal of Clinical Investigation, Circulation, Atherosclerosis and Scandinavian Journal of Clinical and Laboratory Investigation.

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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