Sam E.V. Linsen

790 citations
11 papers · 550 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Genomics and Phylogenetic Studies
    • DNA Repair Mechanisms
    • Gene expression and cancer classification
    • Molecular Biology Techniques and Applications

Papers in

    • MicroRNA in disease regulation 2
    • Genomics and Phylogenetic Studies 3
    • Gene expression and cancer classification 2
    • Single-cell and spatial transcriptomics 2

Sam E.V. Linsen

9 papers receiving 535 citations

Peers

Sam E.V. Linsen
Comparison fields: 5 of 66
  • Cancer Research 167
  • Molecular Biology 241
  • Rheumatology 40
  • Genetics 61
  • Developmental Neuroscience 5
Replace Jordan P. Lewandowski with:
Jordan P. Lewandowski United States
Marie Minet Germany
Teodora Ribarska Germany
Shih‐Peng Chan Taiwan
Edward Huang Australia
Richard D. Mortensen United States
Dae‐Won Kim South Korea
Kayoko Yasuzawa Japan
Lucy A. Kirkham United Kingdom
Agnese Loda France
Sam E.V. Linsen relative to Jordan P. Lewandowski United States Jordan P. Lewandowski's profile →
Citations per field
00.5×1.5×
Jordan P. Lewandowski · 1×
Citations per year

Countries citing papers authored by Sam E.V. Linsen

Since Specialization
Citations

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

Fields of papers citing papers by Sam E.V. Linsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam E.V. Linsen. 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 Sam E.V. Linsen. The network helps show where Sam E.V. Linsen may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2009242
2 2005104
3 201174
4 201069
5 201227
6 200823
7 20157
8 20113
9 20221
10 20230
11 20250

About Sam E.V. Linsen

Sam E.V. Linsen is a scholar working on Cancer Research, Molecular Biology, Computer Vision and Pattern Recognition, Genetics and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 550 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Gene expression and cancer classification (2 papers), Data Visualization and Analytics (2 papers), MicroRNA in disease regulation (2 papers), Single-cell and spatial transcriptomics (2 papers), Genetic Associations and Epidemiology (2 papers), Plant Molecular Biology Research (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Cancer Research (167 citations), Molecular Biology (241 citations), Rheumatology (40 citations), Genetics (61 citations) and Developmental Neuroscience (5 citations). Sam E.V. Linsen has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include Edwin P. J. G. Cuppen, Ewart de Bruijn, Elzo de Wit, Emile E. Voest, Georges E. Janssens, Laura Chapman, Sheila J. Heater, Stacia K. Wyman, Scott Kuersten and Muneesh Tewari. Their work appears in journals such as BMC Genomics, The Journal of Cell Biology, Nature Methods, Genome biology and Cell Research.

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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