Dagny Sandnes

1.3k citations
54 papers · 1.1k · h-index 22

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Protein Kinase Regulation and GTPase Signaling 16
    • Receptor Mechanisms and Signaling 13
    • PI3K/AKT/mTOR signaling in cancer 6
    • Liver physiology and pathology 16

Dagny Sandnes

54 papers receiving 1.1k citations

Peers

Dagny Sandnes
Comparison fields: 5 of 94
  • Hepatology 167
  • Oncology 225
  • Molecular Biology 553
  • Pharmacology 65
  • Cellular and Molecular Neuroscience 121
Replace Sundararajah Thevananther with:
Sundararajah Thevananther United States
Françoise Pecker France
JingHong Wan France
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Venkat K. Ramshesh United States
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Citations per field
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Citations per year

Countries citing papers authored by Dagny Sandnes

Since Specialization
Citations

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

Fields of papers citing papers by Dagny Sandnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201573
2 199852
3 199249
4 201649
5 200348
6 200741
7 199840
8 199839
9 201137
10 200636
11 198335
12 199934
13 198333
14 201431
15 199530
16 201229
17 200229
18 198628
19 200028
20 199624

About Dagny Sandnes

Dagny Sandnes is a scholar working on Molecular Biology, Hepatology, Pharmacology, Surgery and Cellular and Molecular Neuroscience, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver physiology and pathology (16 papers), Protein Kinase Regulation and GTPase Signaling (16 papers), Receptor Mechanisms and Signaling (13 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Inflammatory mediators and NSAID effects (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Pancreatic function and diabetes (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Hepatology (167 citations), Oncology (225 citations), Molecular Biology (553 citations), Pharmacology (65 citations) and Cellular and Molecular Neuroscience (121 citations). Dagny Sandnes has collaborated with scholars based in Norway, United Kingdom and Brazil. Frequent co-authors include Thoralf Christoffersen, G. Hege Thoresen, Olav Dajani, Monica Aasrum, Magne Refsnes, Sten Eirik W. Jacobsen, Georg Sager, Øyvind Melien, Tormod Kyrre Guren and Ivar P. Gladhaug. Their work appears in journals such as Journal of Cellular Physiology, European Journal of Pharmacology, BMC Cancer, Biochemical Pharmacology and Biochemical and Biophysical Research Communications.

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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