Marloes Levers

401 citations
16 papers · 270 · h-index 9

Impact in

Papers in

Marloes Levers

15 papers receiving 269 citations

Peers

Marloes Levers
Comparison fields: 5 of 62
  • Cell Biology 46
  • Cellular and Molecular Neuroscience 45
  • Biophysics 14
  • Developmental Neuroscience 8
  • Biomedical Engineering 76
Replace Hongdi Meng with:
Hongdi Meng United States
Karl E. Kador United States
Kai Januschowski Germany
Tae-Hyung Kim United States
Yanuar Dwi Putra Limasale Germany
Luca Puricelli Italy
Zhen Tan China
Richard J. McMurtrey United States
Daiki Tateyama Japan
Steven Tan United States
Marloes Levers relative to Hongdi Meng United States Hongdi Meng's profile →
Citations per field
00.5×3.9×
Hongdi Meng · 1×
Citations per year

Countries citing papers authored by Marloes Levers

Since Specialization
Citations

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

Fields of papers citing papers by Marloes Levers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201064
2 201764
3 201529
4 202124
5 201620
6 201917
7 202116
8 202413
9 20189
10 20227
11 20232
12 20242
13 20241
14 20091
15 20101
16 20250

About Marloes Levers

Marloes Levers is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Biomedical Engineering and Cognitive Neuroscience, having authored 16 papers that have together received 270 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Cancer-related gene regulation (4 papers), 3D Printing in Biomedical Research (3 papers), Neuroscience and Neural Engineering (2 papers), Neural dynamics and brain function (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Cellular Mechanics and Interactions (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cell Biology (46 citations), Cellular and Molecular Neuroscience (45 citations), Biophysics (14 citations), Developmental Neuroscience (8 citations) and Biomedical Engineering (76 citations). Marloes Levers has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include Monica Frega, Liesbeth van Emst, Jan de Boer, Bernke J. Papenburg, Joost le Feber, Yiping Zhao, Peter M. Hoogerbrugge, Gerco Hassink, Frank N. van Leeuwen and Blanca Scheijen. Their work appears in journals such as Journal of Neural Engineering, Blood, Frontiers in Bioengineering and Biotechnology, Oncotarget and PLoS ONE.

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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