Tim Blauwkamp

976 citations
6 papers · 693 · h-index 5

Impact in

    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies
    • Renal and related cancers
    • Wnt/β-catenin signaling in development and cancer
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation

Papers in

    • Gene expression and cancer classification 1
    • Pluripotent Stem Cells Research 1
    • Genomics and Chromatin Dynamics 1
    • Genomics and Phylogenetic Studies 1
    • Mycobacterium research and diagnosis 1

Tim Blauwkamp

6 papers receiving 682 citations

Peers

Tim Blauwkamp
Comparison fields: 5 of 69
  • Molecular Biology 603
  • Cancer Research 72
  • Genetics 102
  • Aging 5
  • Developmental Neuroscience 8
Replace Mette Bentsen with:
Mette Bentsen Germany
Gabriela Galiová Czechia
Serena Fazio Germany
Nicolas Nottet France
Maxim Nekrasov Australia
Naresh Doni Jayavelu United States
Calley Hirsch United States
Soizik Berlivet Canada
Tim Blauwkamp relative to Mette Bentsen Germany Mette Bentsen's profile →
Citations per field
00.5×10×20×26.5×
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Citations per year

Countries citing papers authored by Tim Blauwkamp

Since Specialization
Citations

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

Fields of papers citing papers by Tim Blauwkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2011381
2 2015143
3 2014128
4 200832
5 20177
6 20172

About Tim Blauwkamp

Tim Blauwkamp is a scholar working on Molecular Biology, Epidemiology, Genetics, Cancer Research and Oncology, having authored 6 papers that have together received 693 indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper), Mycobacterium research and diagnosis (1 paper), Pluripotent Stem Cells Research (1 paper), Polyomavirus and related diseases (1 paper), Genomics and Chromatin Dynamics (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Molecular Biology (603 citations), Cancer Research (72 citations), Genetics (102 citations), Aging (5 citations) and Developmental Neuroscience (8 citations). Tim Blauwkamp has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Wouter Koole, Alex Maas, Roel Nusse, Dorota Kurek, Ronald K. Siu, Elif Eroğlu, Derk ten Berge, M Snyder, Michael A. Kertesz and Rui Chen. Their work appears in journals such as Nature Biotechnology, Open Forum Infectious Diseases, Developmental Biology and Nature Cell Biology.

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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