Birgit Engesæter

1.4k citations
41 papers · 1.1k indexed · h-index 18

Impact in

Papers in

    • Virus-based gene therapy research 12
    • Immunotherapy and Immune Responses 4

Birgit Engesæter

39 papers receiving 1.1k citations

Peers

Birgit Engesæter
Comparison fields: 5 of 97
  • Pulmonary and Respiratory Medicine 351
  • Molecular Biology 584
  • Oncology 231
  • Biomedical Engineering 324
  • Biotechnology 60
Replace Deepika Dhawan with:
Deepika Dhawan United States
Freddy E. Escorcia United States
Liya Roudaia United States
Lígia C. Gomes‐da‐Silva Portugal
Qixin Leng United States
Anette Weyergang Norway
Xinghai Li United States
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Citations per field
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Citations per year

Countries citing papers authored by Birgit Engesæter

Since Specialization
Citations

This map shows the geographic impact of Birgit 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 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 Engesæter more than expected).

Fields of papers citing papers by Birgit Engesæter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005220
2 2007110
3 2002100
4 201067
5 200265
6 202048
7 200746
8 201540
9 200532
10 200429
11 200226
12 201625
13 201822
14 200521
15 200320
16 200319
17 201119
18 200119
19 201617
20 201816

About Birgit Engesæter

Birgit Engesæter is a scholar working on Genetics, Immunology, Obstetrics and Gynecology, Epidemiology and Molecular Biology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (13 papers), Virus-based gene therapy research (12 papers), Cervical Cancer and HPV Research (11 papers), Cell death mechanisms and regulation (6 papers), Photodynamic Therapy Research Studies (5 papers), Nanoplatforms for cancer theranostics (4 papers), Immunotherapy and Immune Responses (4 papers) and Genital Health and Disease (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (351 citations), Molecular Biology (584 citations), Oncology (231 citations), Biomedical Engineering (324 citations) and Biotechnology (60 citations). Birgit Engesæter has collaborated with scholars based in Norway, United States and Finland. Frequent co-authors include Lina Prasmickaite, Kristian Berg, Anders Høgset, Gunhild M. Mælandsmo, Pål Kristian Selbo, Anette Bonsted, Anette Weyergang, Marit Hellum, Øystein Fodstad and Niels Frandsen. Their work appears in journals such as British Journal of Cancer, Cancer Gene Therapy, Cancer Biology & Therapy, PLoS ONE and The Journal of Gene Medicine.

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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