Bianca den Hamer

1.3k citations
15 papers · 1.0k indexed · 1 hit paper · h-index 10

Bianca den Hamer

15 papers receiving 992 citations

Hit Papers

Gene Expression-Based Classification of Non-Small Cell Lu...6142010202620152020200400600

Peers

Bianca den Hamer
Comparison fields: 5 of 80
  • Cancer Research 210
  • Molecular Biology 819
  • Genetics 82
  • Pulmonary and Respiratory Medicine 234
  • Oncology 167
Replace Filemon S. Dela Cruz with:
Filemon S. Dela Cruz United States
Scott A. Shell United States
Chang‐Lung Lee United States
Jun Hou China
Nicholas C. Wolff United States
Arthur J. Kudla United States
Kimberly Lezon-Geyda United States
Johanna C. Scheuermann Germany
Mona Shehata United Kingdom
Sucheta Kulkarni United States
Bianca den Hamer relative to Filemon S. Dela Cruz United States Filemon S. Dela Cruz's profile →
Citations per field
00.5×1.5×1.9×
Filemon S. Dela Cruz · 1×
Citations per year

Countries citing papers authored by Bianca den Hamer

Since Specialization
Citations

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

Fields of papers citing papers by Bianca den Hamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bianca den Hamer. 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 Bianca den Hamer. The network helps show where Bianca den Hamer may publish in the future.

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20243
2 20238
3 202315
4 202119
5 20207
6 20195
7 201718
8 20171
9 201646
10 201668
11 201386
12 201266
13 201133
14
Gene Expression-Based Classification of Non-Small Cell Lung Carcinomas and Survival Predictionbreakdown →
2010614
15 200712

About Bianca den Hamer

Bianca den Hamer is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Tissue Engineering and Regenerative Medicine (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Pluripotent Stem Cells Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (210 citations), Molecular Biology (819 citations) and Genetics (82 citations). Bianca den Hamer has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Joachim G.J.V. Aerts, Henk C. Hoogsteden, Sjaak Philipsen, Frank Grosveld, Cor van der Leest, Peter Riegman, Jun Hou, Michael den Bakker, Peter J. van der Spek and John A. Foekens. Their work appears in journals such as PLoS ONE, Brain and Journal of Cell Science.

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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