Guus Hateboer

2.0k citations
11 papers · 1.6k · h-index 11

Impact in

  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics

Papers in

    • Cancer-related Molecular Pathways 5
    • Virus-based gene therapy research 4

Guus Hateboer

11 papers receiving 1.5k citations

Peers

Guus Hateboer
Comparison fields: 5 of 74
  • Oncology 835
  • Molecular Biology 1.3k
  • Biotechnology 139
  • Cancer Research 154
  • Cell Biology 172
Replace Kaito Segawa with:
Kaito Segawa Japan
Nancy L. Lill United States
A Cook United Kingdom
Beatrice Bercovich Israel
Joseph R. Nevins United States
Qingshen Gao United States
Laura R. Livingstone United States
Simon P. Dawson United Kingdom
Emmanuelle Querido Canada
Karen Ventii United States
Guus Hateboer relative to Kaito Segawa Japan Kaito Segawa's profile →
Citations per field
00.5×2×3.2×
Kaito Segawa · 1×
Citations per year

Countries citing papers authored by Guus Hateboer

Since Specialization
Citations

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

Fields of papers citing papers by Guus Hateboer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1996534
2 1999284
3 1998161
4 1993134
5 1991124
6 1997115
7 199576
8 199666
9 200734
10 199212
11
Cell cycle regulated expression of mammalian CDC6 is dependent on E2F
199811

About Guus Hateboer

Guus Hateboer is a scholar working on Oncology, Genetics, Molecular Biology, Immunology and Virology, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Epigenetics and DNA Methylation (5 papers), Virus-based gene therapy research (4 papers), RNA modifications and cancer (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Ubiquitin and proteasome pathways (2 papers), Poxvirus research and outbreaks (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Oncology (835 citations), Molecular Biology (1.3k citations), Biotechnology (139 citations), Cancer Research (154 citations) and Cell Biology (172 citations). Guus Hateboer has collaborated with scholars based in Netherlands, Italy and France. Frequent co-authors include Rene Bernards, Kristian Helin, Elena Vigo, Merlijn Bazuine, Wilma T. Steegenga, A.J. van der Eb, Nicole Riteco, Theo van Laar, Анна Шварц and Aart G. Jochemsen. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, The EMBO Journal, Plant Science and Biotechnology and Bioengineering.

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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