Gro Nilsen

795 total citations
10 papers, 420 citations indexed

About

Gro Nilsen is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Gro Nilsen has authored 10 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Gro Nilsen's work include Cancer Genomics and Diagnostics (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Gro Nilsen is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Gro Nilsen collaborates with scholars based in Norway, United Kingdom and Belgium. Gro Nilsen's co-authors include Ole Christian Lingjærde, Knut Liestøl, Hans Kristian Moen Vollan, Peter Van Loo, Anne‐Lise Børresen‐Dale, Lars O. Baumbusch, Roslin Russell, Marianne Brodtkorb Eide, Carlos Caldas and Suet‐Feung Chin and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and International Journal of Cancer.

In The Last Decade

Gro Nilsen

10 papers receiving 419 citations

Peers

Gro Nilsen

CR

MB

ONCOL

GENET

PFM

Sanne R. Martens‐de Kemp Netherlands

Anne M.L. Jansen Netherlands

Gunnar B. Hansen Sweden

Chris Clouser United States

Stefan C. Dentro United Kingdom

Irsan Kooi Netherlands

Kristina Levan Sweden

Cathy C. Zhang United States

Tiantian Li Canada

RI Nicholson United Kingdom

Sanne R. Martens‐de Kemp Netherlands

Gro Nilsen

167 ×0.8

CR

337 ×1.7

MB

227 ×1.8

ONCOL

85 ×1.0

GENET

76 ×1.2

PFM

Citations per year, relative to Gro Nilsen Gro Nilsen (= 1×) peers Sanne R. Martens‐de Kemp

Countries citing papers authored by Gro Nilsen

Since Specialization

Citations

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

Fields of papers citing papers by Gro Nilsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gro Nilsen

This figure shows the co-authorship network connecting the top 25 collaborators of Gro Nilsen. A scholar is included among the top collaborators of Gro Nilsen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gro Nilsen. Gro Nilsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Bjaanæs, Maria Moksnes, Gro Nilsen, Ann Rita Halvorsen, et al.. (2021). Whole genome copy number analyses reveal a highly aberrant genome in TP53 mutant lung adenocarcinoma tumors. BMC Cancer. 21(1). 1089–1089. 6 indexed citations

2.

Hoff, Andreas, Sigrid Marie Kraggerud, Sharmini Alagaratnam, et al.. (2020). Frequent copy number gains of SLC2A3 and ETV1 in testicular embryonal carcinomas. Endocrine Related Cancer. 27(9). 457–468. 5 indexed citations

3.

Cheng, Jie, Jonas Demeulemeester, David C. Wedge, et al.. (2017). Pan-cancer analysis of homozygous deletions in primary tumours uncovers rare tumour suppressors. Nature Communications. 8(1). 1221–1221. 62 indexed citations

4.

Sveen, Anita, Inger Marie Løes, Sharmini Alagaratnam, et al.. (2016). Intra-patient Inter-metastatic Genetic Heterogeneity in Colorectal Cancer as a Key Determinant of Survival after Curative Liver Resection. PLoS Genetics. 12(7). e1006225–e1006225. 47 indexed citations

5.

Sveen, Anita, Inger Marie Løes, Sharmini Alagaratnam, et al.. (2016). Intra-individual genetic heterogeneity among liver metastases in metastatic colorectal cancer.. Journal of Clinical Oncology. 34(4_suppl). 555–555. 1 indexed citations

6.

Nilsen, Gro, Ørnulf Borgan, Knut Liestøl, & Ole Christian Lingjærde. (2013). Identifying clusters in genomics data by recursive partitioning. Statistical Applications in Genetics and Molecular Biology. 12(5). 637–52. 32 indexed citations

7.

Nilsen, Gro, Knut Liestøl, Peter Van Loo, et al.. (2012). Copynumber: Efficient algorithms for single- and multi-track copy number segmentation. BMC Genomics. 13(1). 591–591. 156 indexed citations

8.

Mathiesen, Randi R., Knut Liestøl, Eldri U. Due, et al.. (2011). High‐resolution analyses of copy number changes in disseminated tumor cells of patients with breast cancer. International Journal of Cancer. 131(4). E405–15. 44 indexed citations

9.

Loo, Peter Van, Gro Nilsen, Silje Nord, et al.. (2011). Analyzing Cancer Samples with SNP Arrays. Methods in molecular biology. 802. 57–72. 22 indexed citations

10.

Nilsen, Gro, et al.. (1994). In vitro proton NMR spectroscopy of extracts from human breast tumours and non-involved breast tissue.. PubMed. 13(6A). 1973–80. 45 indexed citations

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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