Moira Behn

451 citations
12 papers · 390 · h-index 9

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related Molecular Pathways
    • Lung Cancer Research Studies

Papers in

Moira Behn

12 papers receiving 365 citations

Peers

Moira Behn
Comparison fields: 5 of 39
  • Cancer Research 69
  • Oncology 96
  • Molecular Biology 191
  • Pulmonary and Respiratory Medicine 67
  • Genetics 12
Replace Ana Teresa Martins with:
Ana Teresa Martins Portugal
Rajendrakumar S.V. Chadalavada United States
Ewan J.D. Robson United Kingdom
Johanna Soikkeli Finland
Julia E. Breault United States
Ryota Koyama Japan
Alex Frías Spain
Mikako Yamada Japan
Junzo Kudo Japan
Moira Behn relative to Ana Teresa Martins Portugal Ana Teresa Martins's profile →
Citations per field
00.5×1.7×
Ana Teresa Martins · 1×
Citations per year

Countries citing papers authored by Moira Behn

Since Specialization
Citations

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

Fields of papers citing papers by Moira Behn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Moira Behn, 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 Moira Behn Line = papers co-authored together Moira Behn links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2000153
2 199947
3 199842
4 199940
5
Frequent detection of ras and p53 mutations in brush cytology samples from lung cancer patients by a restriction fragment length polymorphism-based "enriched PCR" technique.
199832
6 200031
7 199817
8 199412
9 199411
10 20033
11 19931
12 20001

About Moira Behn

Moira Behn is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Hematology, having authored 12 papers that have together received 390 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (3 papers), Molecular Biology Techniques and Applications (3 papers), Lung Cancer Treatments and Mutations (2 papers), Epigenetics and DNA Methylation (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cancer Research (69 citations), Oncology (96 citations), Molecular Biology (191 citations), Pulmonary and Respiratory Medicine (67 citations) and Genetics (12 citations). Moira Behn has collaborated with scholars based in Germany and Norway. Frequent co-authors include Marcus Schuermann, Wulf Pankow, Alison Kraus, Michael Kersting, K. Berg, Frauke Neff, Jürgen Schlegel, Klaus HAVEMANN, Jörk Zwicker and Andreas Sewing. Their work appears in journals such as Clinical Genetics, Thrombosis and Haemostasis, Lung Cancer, International Journal of Oncology and Journal of Clinical Oncology.

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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