Mona Sæbø

1.1k citations
28 papers · 879 · h-index 16

Impact in

Papers in

    • Environmental DNA in Biodiversity Studies 3
    • Wildlife Ecology and Conservation 2
    • Genetics and Physical Performance 3
    • Genetic diversity and population structure 3

Mona Sæbø

28 papers receiving 861 citations

Peers

Mona Sæbø
Comparison fields: 5 of 100
  • Cancer Research 130
  • Complementary and alternative medicine 60
  • Pathology and Forensic Medicine 118
  • Oncology 176
  • Orthopedics and Sports Medicine 47
Replace Jian Tian with:
Jian Tian China
Hisao Fujii Japan
Gang Luo China
Gustavo Yannarelli Argentina
Degeng Wang United States
Minghao Wang China
J.‐P. Pelletier Canada
Mei Yang China
Aneesa Sultan Pakistan
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Citations per field
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Citations per year

Countries citing papers authored by Mona Sæbø

Since Specialization
Citations

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

Fields of papers citing papers by Mona Sæbø

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005111
2 200699
3 201680
4 201776
5 200765
6 200660
7 200750
8 201342
9 201540
10 201435
11 200632
12 200630
13 201329
14 202120
15
CYP1A2 164 A-->C polymorphism, cigarette smoking, consumption of well-done red meat and risk of developing colorectal adenomas and carcinomas.
200819
16 202118
17 200914
18 200613
19 202013
20 20208

About Mona Sæbø

Mona Sæbø is a scholar working on Ecology, Genetics, Cancer Research, Molecular Biology and Oncology, having authored 28 papers that have together received 879 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (3 papers), Genetics and Physical Performance (3 papers), Environmental DNA in Biodiversity Studies (3 papers), Genetic diversity and population structure (3 papers), Wildlife Ecology and Conservation (2 papers), Myxozoan Parasites in Aquatic Species (2 papers), Genetic factors in colorectal cancer (2 papers) and Clay minerals and soil interactions (1 paper). The work is most often cited by research in Cancer Research (130 citations), Complementary and alternative medicine (60 citations), Pathology and Forensic Medicine (118 citations), Oncology (176 citations) and Orthopedics and Sports Medicine (47 citations). Mona Sæbø has collaborated with scholars based in Norway, Denmark and United States. Frequent co-authors include Elin H. Kure, Camilla Furu Skjelbred, Ulla Vogel, Inger‐Lise Hansteen, Lotte K. Vogel, Inger Marie Bowitz Lothe, Bjørn A. Nexø, Egil Johnson, Julian Hamfjord and Steinar Aase. Their work appears in journals such as BMC Cancer, PLoS ONE, Frontiers in Physiology, Chemical and Biological Technologies in Agriculture and Medicine & Science in Sports & Exercise.

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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