Asger Lund

78 papers receiving 2.6k citations

Asger Lund's Hit Papers

Glucagon-like peptide 1 in health and disease 2018 · 415 citations
4150+2+5Years since publication100200300400

Peers

Asger Lund
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Endocrine and Autonomic Systems 169
  • Surgery 885
  • Physiology 341
  • Pharmacology 222
Replace Norio Harada with:
Norio Harada Japan
Lærke S. Gasbjerg Denmark
Adriano Maida Germany
Takeshi Kurose Japan
Baptist Gallwitz Germany
Riccardo Perfetti United States
Tomoya Mita Japan
Anca D. Dobrian United States
B. Willms Germany
B. Willms Germany
Asger Lund relative to Norio Harada Japan Norio Harada's profile →
Citations per field
00.5×1.5×2.1×
Norio Harada · 1×
Citations per year

Countries citing papers authored by Asger Lund

Since Specialization
Citations

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

Fields of papers citing papers by Asger Lund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Glucagon-like peptide 1 in health and disease
Hit paper breakdown →
2018415
2 2011194
3 2019178
4 2011151
5 2015140
6 2014122
7 2011121
8 2018119
9 2019115
10 2014103
11 201783
12 202070
13 201660
14 201959
15 201459
16 201955
17 202053
18 202050
19 198043
20 202142

About Asger Lund

Asger Lund is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Epidemiology and Oncology, having authored 82 papers that have together received 2.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (45 papers), Pancreatic function and diabetes (20 papers), Diabetes Management and Research (13 papers), Metabolism, Diabetes, and Cancer (12 papers), Liver Disease Diagnosis and Treatment (6 papers), Diet and metabolism studies (5 papers), Diet, Metabolism, and Disease (4 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Endocrine and Autonomic Systems (169 citations), Surgery (885 citations), Physiology (341 citations) and Pharmacology (222 citations). Asger Lund has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Filip K. Knop, Tina Vilsbøll, Jens J. Holst, Jonatan I. Bagger, Andreas Andersen, Mikkel Christensen, Henrik Vestergaard, Bolette Hartmann, Sofie Hædersdal and Natasha C. Bergmann. Their work appears in journals such as Diabetes, The Journal of Clinical Endocrinology & Metabolism, Diabetes Obesity and Metabolism, Endocrine Connections 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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