M. Frandsen

1.6k total citations
20 papers, 1.3k citations indexed

About

M. Frandsen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, M. Frandsen has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in M. Frandsen's work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Treatment and Management (7 papers) and Diabetes Management and Research (6 papers). M. Frandsen is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Treatment and Management (7 papers) and Diabetes Management and Research (6 papers). M. Frandsen collaborates with scholars based in Denmark, Sweden and Netherlands. M. Frandsen's co-authors include H.‐H. Parving, Jens Sandahl Christiansen, Jens Gammelgaard, Lene Ringholm, Pia Ekbom, Peter Damm, Charlotte Glümer, Elisabeth R. Mathiesen, Dorte Møller Jensen and Søren S. Lund and has published in prestigious journals such as The Lancet, PLoS ONE and Diabetes Care.

In The Last Decade

M. Frandsen

19 papers receiving 1.2k citations

Peers

M. Frandsen
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 613
  • Surgery 284
  • Nephrology 240
  • Molecular Biology 202
  • Obstetrics and Gynecology 202
Replace G Pagano with:
G Pagano Italy
N. El Esper France
Jørn Ditzel Denmark
Birgitte V. Hansen Denmark
Grzegorz Piecha Poland
Mesut Özkaya Türkiye
B. Chadefaux France
Sharon Anderson United States
Heyuan Ding China
A S Krolewski United States
G Pagano Italy View profile →
Citations per field, relative to M. Frandsen
M. Frandsen · 1×
Citations per year, relative to M. Frandsen
M. Frandsen · 1×

Countries citing papers authored by M. Frandsen

Since Specialization
Citations

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

Fields of papers citing papers by M. Frandsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Frandsen

This figure shows the co-authorship network connecting the top 25 collaborators of M. Frandsen. A scholar is included among the top collaborators of M. Frandsen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Frandsen. M. Frandsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 13
2 56
3 0
4 14
5 32
6 41
7 10
8 78
9 70
10 3
11 26
12 37
13 251
14 12
15 96
16 57
17 108
18 74
19 272
20 6

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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