Christian Pehmøller

2.0k citations
19 papers · 1.6k indexed · 1 hit paper · h-index 15
Topics
Metabolism, Diabetes, and Cancer (18 papers)Pancreatic function and diabetes (11 papers)Adipose Tissue and Metabolism (9 papers)

In The Last Decade

Christian Pehmøller

19 papers receiving 1.5k citations

Hit Papers

AMPK in skeletal muscle function and metabolism20172026202020232017100200300

Peers

Christian Pehmøller
Comparison fields: 5 of 96
  • Molecular Biology 1.1k
  • Physiology 862
  • Surgery 419
  • Cell Biology 308
  • Epidemiology 176
Replace Rasmus Kjøbsted with:
Rasmus Kjøbsted Denmark
Henning F. Kramer United States
Burton F. Holmes United States
Nolan J. Hoffman Australia
Ariel Contreras‐Ferrat Chile
Anna G. Holmes Australia
Natalie Lefort United States
Peirang Cao United States
William J. Smiles Australia
Christopher Lipina United Kingdom
Christian Pehmøller relative to Rasmus Kjøbsted Denmark Rasmus Kjøbsted's profile →
Citations per field
00.5×2.6×
Rasmus Kjøbsted · 1×
Citations per year

Countries citing papers authored by Christian Pehmøller

Since Specialization
Citations

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

Fields of papers citing papers by Christian Pehmøller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Pehmøller

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Pehmøller. A scholar is included among the top collaborators of Christian Pehmøller 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 Christian Pehmøller. Christian Pehmøller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 6
2 9
3 9
4 56
5 13
6
AMPK in skeletal muscle function and metabolismbreakdown →
352
7 180
8 92
9 118
10 30
11 19
12 16
13 64
14 112
15 88
16 63
17 103
18 93
19 127

About Christian Pehmøller

Christian Pehmøller is a scholar working on Physiology, Molecular Biology and Geriatrics and Gerontology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (18 papers), Pancreatic function and diabetes (11 papers) and Adipose Tissue and Metabolism (9 papers). The work is most often cited by research in Physiology (862 citations), Cell Biology (308 citations) and Geriatrics and Gerontology (67 citations). Christian Pehmøller has collaborated with scholars based in Denmark, United States and Canada. Frequent co-authors include Jørgen F. P. Wojtaszewski, Jesper B. Birk, Jonas T. Treebak, Erik A. Richter, Rasmus Kjøbsted, Joachim Fentz, Benoı̂t Viollet, Rémi Mounier, André Marette and Marc Foretz. Their work appears in journals such as Nature Biotechnology, PLoS ONE and The Journal of Physiology.

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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