Knut Liestøl

192 papers receiving 6.8k citations

Knut Liestøl's Hit Papers

Designing deep learning studies in cancer diagnostics 2021 · 224 citations
2240+2+4Years since publication100200300400

Peers

Knut Liestøl
Comparison fields: 5 of 194
  • Health Informatics 81
  • Cell Biology 784
  • Cardiology and Cardiovascular Medicine 831
  • Cancer Research 444
  • Complementary and alternative medicine 237
Replace Jennifer L. Hall with:
Jennifer L. Hall United States
Bin Zhang China
Eli Y. Adashi United States
Liam Murray United Kingdom
Erwin P. Böttinger United States
Stuart A. Cook United Kingdom
Peter N. Robinson Germany
Jonathan D. Wren United States
Johanne Tremblay Canada
Jerome I. Rotter United States
Knut Liestøl relative to Jennifer L. Hall United States Jennifer L. Hall's profile →
Citations per field
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Citations per year

Countries citing papers authored by Knut Liestøl

Since Specialization
Citations

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

Fields of papers citing papers by Knut Liestøl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
Hit paper breakdown →
2020429
2 1998373
3
Designing deep learning studies in cancer diagnostics
Hit paper breakdown →
2021224
4 2003200
5 2010183
6 2012178
7 1980167
8 2017161
9 2012160
10 2010157
11 2004152
12 2013142
13 2014129
14 2012127
15 2006117
16 2016113
17 2012104
18 2012100
19 2014100
20 201284

About Knut Liestøl

Knut Liestøl is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pathology and Forensic Medicine, Epidemiology and Cell Biology, having authored 195 papers that have together received 7.1k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (14 papers), Lymphoma Diagnosis and Treatment (14 papers), Cellular transport and secretion (11 papers), Heart Rate Variability and Autonomic Control (8 papers), Cardiovascular and exercise physiology (8 papers), Birth, Development, and Health (6 papers), Microtubule and mitosis dynamics (6 papers) and Viral-associated cancers and disorders (6 papers). The work is most often cited by research in Health Informatics (81 citations), Cell Biology (784 citations), Cardiology and Cardiovascular Medicine (831 citations), Cancer Research (444 citations) and Complementary and alternative medicine (237 citations). Knut Liestøl has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Gunnar Erikssen, Harald Stenmark, Lars Walløe, Jan Erikssen, Kristian Gundersen, Gro Harlem Brundtland, Jo C. Bruusgaard, Ole Christian Lingjærde, Jørgen Vildershøj Bjørnholt and Rolf Lindemann. Their work appears in journals such as PLoS ONE, Journal of Hypertension, Acta Paediatrica, Annals of Human Biology and Hypertension.

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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