Martijn J.W. Evers

1.4k citations
10 papers · 932 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • RNA Interference and Gene Delivery
    • Extracellular vesicles in disease
    • Advanced biosensing and bioanalysis techniques
    • Lipid Membrane Structure and Behavior
    • CRISPR and Genetic Engineering

Papers in

    • RNA Interference and Gene Delivery 7
    • CRISPR and Genetic Engineering 4
    • Extracellular vesicles in disease 3
    • Advanced biosensing and bioanalysis techniques 2
    • DNA and Nucleic Acid Chemistry 1
    • MicroRNA in disease regulation 4

Martijn J.W. Evers

10 papers receiving 922 citations

Peers

Martijn J.W. Evers
Comparison fields: 5 of 85
  • Cancer Research 247
  • Molecular Biology 789
  • Biomaterials 97
  • Business and International Management 8
  • Biomedical Engineering 178
Replace Ryan L. Setten with:
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Martijn J.W. Evers relative to Ryan L. Setten United States Ryan L. Setten's profile →
Citations per field
00.5×1.5×2.3×
Ryan L. Setten · 1×
Citations per year

Countries citing papers authored by Martijn J.W. Evers

Since Specialization
Citations

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

Fields of papers citing papers by Martijn J.W. Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martijn J.W. Evers. 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 Martijn J.W. Evers. The network helps show where Martijn J.W. Evers may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2019270
2 2018223
3 2021154
4 2021130
5 202270
6 201646
7 201619
8 201711
9 20258
10 20201

About Martijn J.W. Evers

Martijn J.W. Evers is a scholar working on Molecular Biology, Cancer Research, Genetics, Pharmacology and Oncology, having authored 10 papers that have together received 932 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), MicroRNA in disease regulation (4 papers), CRISPR and Genetic Engineering (4 papers), Extracellular vesicles in disease (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Virus-based gene therapy research (2 papers), DNA and Nucleic Acid Chemistry (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Cancer Research (247 citations), Molecular Biology (789 citations), Biomaterials (97 citations), Business and International Management (8 citations) and Biomedical Engineering (178 citations). Martijn J.W. Evers has collaborated with scholars based in Netherlands, Germany and Austria. Frequent co-authors include Raymond M. Schiffelers, Pieter Vader, Olivier G. de Jong, Joost P. G. Sluijter, Sander A. A. Kooijmans, Pieter R. Cullis, Jayesh A. Kulkarni, Roy van der Meel, Linglei Jiang and Enrico Mastrobattista. Their work appears in journals such as Journal of Controlled Release, Accounts of Chemical Research, International Journal of Pharmaceutics, Small Methods and Advanced Healthcare Materials.

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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