Pepijn Schellen

2.5k citations
18 papers · 2.0k · 1 hit paper · h-index 15

Impact in

Papers in

    • Glioma Diagnosis and Treatment 6
    • Virus-based gene therapy research 2
    • Cancer Genomics and Diagnostics 4
    • Cancer-related molecular mechanisms research 2

Pepijn Schellen

18 papers receiving 1.9k citations

Pepijn Schellen's Hit Papers

RNA-Seq of Tumor-Educated Platelets Enables Blood-Based Pan-Cancer, Multiclass, and Molecular Pathway Cancer Diagnostics 2015 · 728 citations
7280+3+7Years since publication200400600

Peers

Pepijn Schellen
Comparison fields: 5 of 99
  • Cancer Research 696
  • Animal Science and Zoology 263
  • Oncology 588
  • Genetics 212
  • Internal Medicine 61
Replace Sei Kakinuma with:
Sei Kakinuma Japan
Ricardo Mesa‐Tejada United States
Kwong Yok Tsang United States
Paul Fields United States
G. Spira Israel
Bin Yao China
Hangwen Li China
AM Gianni Italy
Harsh B. Pathak United States
Toshihiko Ishii Japan
Pepijn Schellen relative to Sei Kakinuma Japan Sei Kakinuma's profile →
Citations per field
00.5×2×4×6.8×
Sei Kakinuma · 1×
Citations per year

Countries citing papers authored by Pepijn Schellen

Since Specialization
Citations

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

Fields of papers citing papers by Pepijn Schellen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
RNA-Seq of Tumor-Educated Platelets Enables Blood-Based Pan-Cancer, Multiclass, and Molecular Pathway Cancer Diagnostics
Hit paper breakdown →
2015728
2 2017275
3 2015176
4 2005174
5 202089
6 200887
7 201480
8 201778
9 200875
10 201268
11 201460
12 200525
13 201422
14 201719
15 200516
16 20121
17 20121
18 20151

About Pepijn Schellen

Pepijn Schellen is a scholar working on Genetics, Cancer Research, Animal Science and Zoology, Pulmonary and Respiratory Medicine and Molecular Medicine, having authored 18 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Cancer Genomics and Diagnostics (4 papers), Extracellular vesicles in disease (4 papers), Animal Virus Infections Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Cancer Research (696 citations), Animal Science and Zoology (263 citations), Oncology (588 citations), Genetics (212 citations) and Internal Medicine (61 citations). Pepijn Schellen has collaborated with scholars based in Netherlands, United States and Sweden. Frequent co-authors include Peter J. M. Rottier, Bert Jan Haijema, Haukeline H. Volders, Kazuya Nakamura, Dannis Gilbert van Vuurden, Viola Caretti, Gertjan J.L. Kaspers, Esther Hulleman, Tom Wurdinger and David P. Noske. Their work appears in journals such as Neuro-Oncology, Journal of Virology, Cancer Cell, Oncotarget and Acta Neuropathologica.

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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