Birgit Øvstebø Engesæter

1.5k citations
42 papers · 1.2k · h-index 19

Impact in

Papers in

Birgit Øvstebø Engesæter

40 papers receiving 1.2k citations

Peers

Birgit Øvstebø Engesæter
Comparison fields: 5 of 93
  • Pulmonary and Respiratory Medicine 344
  • Molecular Biology 572
  • Oncology 201
  • Biomedical Engineering 312
  • Biotechnology 59
Replace Motomu Kuroki with:
Motomu Kuroki Japan
Lígia Catarina Gomes-da-Silva Portugal
Raimond Heukers Netherlands
Nuno M. Mendes Portugal
Shan Guan China
Susan Varghese India
Anette Weyergang Norway
Qixin Leng United States
Deborah A. Scollard Canada
Mahendra P. Deonarain United Kingdom
Birgit Øvstebø Engesæter relative to Motomu Kuroki Japan Motomu Kuroki's profile →
Citations per field
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Motomu Kuroki · 1×
Citations per year

Countries citing papers authored by Birgit Øvstebø Engesæter

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Øvstebø Engesæter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Birgit Øvstebø Engesæter. 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 Birgit Øvstebø Engesæter. The network helps show where Birgit Øvstebø Engesæter may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005232
2 2007114
3 2002105
4 201073
5 200268
6 202056
7 200745
8 201545
9 200533
10 200430
11 200227
12 201627
13 201826
14 202223
15 200121
16 200521
17 200320
18 200320
19 201119
20 201618

About Birgit Øvstebø Engesæter

Birgit Øvstebø Engesæter is a scholar working on Genetics, Epidemiology, Immunology, Molecular Biology and Oncology, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (13 papers), Cervical Cancer and HPV Research (11 papers), Virus-based gene therapy research (11 papers), Cell death mechanisms and regulation (7 papers), Photodynamic Therapy Research Studies (5 papers), Cancer-related molecular mechanisms research (3 papers), Genital Health and Disease (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (344 citations), Molecular Biology (572 citations), Oncology (201 citations), Biomedical Engineering (312 citations) and Biotechnology (59 citations). Birgit Øvstebø Engesæter has collaborated with scholars based in Norway, United States and China. Frequent co-authors include Lina Prasmickaite, Kristian Berg, Anders Høgset, Gunhild Mari Mælandsmo, Pål Kristian Selbo, Anette Bonsted, Anette Weyergang, Marit Hellum, Øystein Fodstad and Trond Warloe. Their work appears in journals such as The Journal of Gene Medicine, Cancer Biology & Therapy, Cancer Gene Therapy, British Journal of Cancer and International Journal of Cancer.

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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