Nina‐Beate Liabakk

2.8k citations
50 papers · 2.2k · h-index 25

Impact in

Papers in

    • DNA Repair Mechanisms 14
    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 5
    • Genomics and Chromatin Dynamics 4
    • CRISPR and Genetic Engineering 4
    • Immune Response and Inflammation 7
    • Reproductive System and Pregnancy 5

Nina‐Beate Liabakk

49 papers receiving 2.2k citations

Peers

Nina‐Beate Liabakk
Comparison fields: 5 of 106
  • Virology 220
  • Cancer Research 351
  • Immunology 477
  • Molecular Biology 1.1k
  • Oncology 364
Replace Marta L. Corcoran with:
Marta L. Corcoran United States
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Citations per field
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Citations per year

Countries citing papers authored by Nina‐Beate Liabakk

Since Specialization
Citations

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

Fields of papers citing papers by Nina‐Beate Liabakk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina‐Beate Liabakk. 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 Nina‐Beate Liabakk. The network helps show where Nina‐Beate Liabakk may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Matrix metalloprotease 2 (MMP-2) and matrix metalloprotease 9 (MMP-9) type IV collagenases in colorectal cancer.
1996292
2 1994258
3 2008155
4 2006153
5 2009147
6 1999126
7 2007111
8 200588
9 199484
10 201458
11 201258
12 199252
13 199248
14 199046
15 200243
16 200938
17 201331
18 201831
19 199529
20 201828

About Nina‐Beate Liabakk

Nina‐Beate Liabakk is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Cancer Research, having authored 50 papers that have together received 2.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (14 papers), Immune Response and Inflammation (7 papers), Epigenetics and DNA Methylation (6 papers), Reproductive System and Pregnancy (5 papers), RNA modifications and cancer (5 papers), PARP inhibition in cancer therapy (4 papers), Genomics and Chromatin Dynamics (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Virology (220 citations), Cancer Research (351 citations), Immunology (477 citations), Molecular Biology (1.1k citations) and Oncology (364 citations). Nina‐Beate Liabakk has collaborated with scholars based in Norway, United States and Switzerland. Frequent co-authors include Terje Espevik, Egil Lien, Hans E. Krokan, Marit Otterlei, Pål Aukrust, Geir Slupphaug, I C Talbot, R A Smith, Katherine Wilkinson and Frances R. Balkwill. Their work appears in journals such as Journal of Immunological Methods, DNA repair, Nucleic Acids Research, Oncotarget 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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