Åsmund Flobak

1.2k citations
27 papers · 389 · h-index 10

Impact in

Papers in

Åsmund Flobak

20 papers receiving 388 citations

Peers

Åsmund Flobak
Comparison fields: 5 of 80
  • Computational Theory and Mathematics 73
  • Biomaterials 55
  • Molecular Biology 214
  • Modeling and Simulation 12
  • Cancer Research 34
Replace Róbert Alföldi with:
Róbert Alföldi Hungary
Afoma C. Umeano United States
Melissa Tran United States
Christian T. Hellwig Ireland
Amanda Cobos‐Correa Switzerland
Sumayah Al-Mahmood Iraq
Ted Natoli United States
Matthew McCoy United States
Ghanem E. Ghanem Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Åsmund Flobak

Since Specialization
Citations

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

Fields of papers citing papers by Åsmund Flobak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202096
2 201585
3 201544
4 202034
5 201933
6 202017
7 201714
8 202311
9 20239
10 20209
11 20229
12 20209
13 20237
14 20224
15 20252
16 20252
17 20201
18 20221
19 20231
20 20241

About Åsmund Flobak

Åsmund Flobak is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Pharmacology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 389 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Bioinformatics and Genomic Networks (6 papers), Cancer Genomics and Diagnostics (4 papers), Gene Regulatory Network Analysis (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Mathematical Biology Tumor Growth (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Computational Theory and Mathematics (73 citations), Biomaterials (55 citations), Molecular Biology (214 citations), Modeling and Simulation (12 citations) and Cancer Research (34 citations). Åsmund Flobak has collaborated with scholars based in Norway, Spain and France. Frequent co-authors include Astrid Lægreid, Liv Thommesen, Martin Kuiper, Anaı̈s Baudot, Élisabeth Rémy, Geir Klinkenberg, Denis Thieffry, Miguél Vázquez, Torunn Bruland and Konika Chawla. Their work appears in journals such as Journal of Clinical Oncology, npj Systems Biology and Applications, Annals of Oncology, PLoS Computational Biology and Scientific Reports.

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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