Peter van Sluis

17.5k citations
35 papers · 3.5k indexed · 1 hit paper · h-index 25

Impact in

Papers in

Peter van Sluis

35 papers receiving 3.5k citations

Hit Papers

The Human Transcriptome Map: Clustering of Highly Expressed Genes in Chromosomal Domains 2001 · 571 citations
5712001202620092017100200300400500

Peers

Peter van Sluis
Comparison fields: 5 of 99
  • Neurology 1.5k
  • Cancer Research 919
  • Genetics 408
  • Molecular Biology 2.6k
  • Oncology 573
Replace Rani E. George with:
Rani E. George United States
Sharon J. Diskin United States
Håkan Axelson Sweden
Helena Carén Sweden
Irene Newsham United States
Geoffrey G. Hicks Canada
Brent A. Orr United States
Esther Hulleman Netherlands
John E. Landers United States
Javier S. Castresana Spain
Peter van Sluis relative to Rani E. George United States Rani E. George's profile →
Citations per field
00.5×1.5×2.1×
Rani E. George · 1×
Citations per year

Countries citing papers authored by Peter van Sluis

Since Specialization
Citations

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

Fields of papers citing papers by Peter van Sluis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter van Sluis. 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 Peter van Sluis. The network helps show where Peter van Sluis may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201995
2 201840
3 2013117
4 201333
5 201222
6 201154
7 200940
8 2008491
9 200765
10 200358
11 200260
12 200159
13 2001355
14 200120
15 200036
16 20002
17
A constitutional balanced 1;17 neuroblastoma translocation
19971
18 199647
19 1995126
20 19814

About Peter van Sluis

Peter van Sluis is a scholar working on Neurology, Cancer Research, Cell Biology, Molecular Biology and Genetics, having authored 35 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (30 papers), Cancer, Hypoxia, and Metabolism (13 papers), Microtubule and mitosis dynamics (4 papers), Cell death mechanisms and regulation (4 papers), Ubiquitin and proteasome pathways (4 papers), Virus-based gene therapy research (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Chromatin Remodeling and Cancer (3 papers). The work is most often cited by research in Neurology (1.5k citations), Cancer Research (919 citations), Genetics (408 citations), Molecular Biology (2.6k citations) and Oncology (573 citations). Peter van Sluis has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Rogier Versteeg, Huib N. Caron, Jan Köster, Kathy Boon, Jan J. Molenaar, P.A. Voûte, Linda J. Valentijn, Jan de Kraker, Frank Baas and Nancy E. Hasselt. Their work appears in journals such as Genes Chromosomes and Cancer, Cancer Research, Oncogene, European Journal of Cancer and Human Genetics.

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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