Roel Maas

506 total citations
8 papers, 375 citations indexed

About

Roel Maas is a scholar working on Molecular Biology, Ecology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Roel Maas has authored 8 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Roel Maas's work include Bacteriophages and microbial interactions (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Photoreceptor and optogenetics research (2 papers). Roel Maas is often cited by papers focused on Bacteriophages and microbial interactions (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Photoreceptor and optogenetics research (2 papers). Roel Maas collaborates with scholars based in Netherlands, Germany and France. Roel Maas's co-authors include Wilhelm T. S. Huck, Petra Schwille, Beatrice Ramm, Michaël Heymann, Thomas Litschel, Maike M. K. Hansen, Hans A. Heus, Evan Spruijt, Lenny H. H. Meijer and J Groen and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Nature Nanotechnology.

In The Last Decade

Roel Maas

8 papers receiving 372 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Roel Maas Netherlands	8	269	110	52	49	40	8	375
Hélène Bouvrais Denmark	10	388 1.4×	134 1.2×	67 1.3×	45 0.9×	54 1.4×	17	504
Grzegorz Chwastek Germany	12	374 1.4×	89 0.8×	69 1.3×	44 0.9×	69 1.7×	15	479
Alena Khmelinskaia Germany	11	404 1.5×	157 1.4×	34 0.7×	51 1.0×	33 0.8×	19	508
Lenny H. H. Meijer Netherlands	7	388 1.4×	176 1.6×	19 0.4×	23 0.5×	50 1.3×	7	520
Friedrich W. Schwarz Germany	11	392 1.5×	127 1.2×	98 1.9×	39 0.8×	16 0.4×	15	589
Marc Fuhrmans Germany	10	396 1.5×	91 0.8×	114 2.2×	31 0.6×	36 0.9×	16	510
Beatrice Ramm Germany	12	392 1.5×	129 1.2×	103 2.0×	94 1.9×	32 0.8×	18	550
Kalypso Charalambous United Kingdom	14	406 1.5×	81 0.7×	28 0.5×	14 0.3×	29 0.7×	15	495
Tamara Heermann Germany	11	220 0.8×	55 0.5×	55 1.1×	42 0.9×	12 0.3×	17	308
Anna E. C. Meijering Netherlands	6	361 1.3×	285 2.6×	34 0.7×	29 0.6×	58 1.4×	7	543

Countries citing papers authored by Roel Maas

Since Specialization

Citations

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

Fields of papers citing papers by Roel Maas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roel Maas

This figure shows the co-authorship network connecting the top 25 collaborators of Roel Maas. A scholar is included among the top collaborators of Roel Maas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roel Maas. Roel Maas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Maas, Roel, et al.. (2022). A microfluidic optimal experimental design platform for forward design of cell-free genetic networks. Nature Communications. 13(1). 3626–3626. 20 indexed citations

2.

Vibhute, Mahesh A., Roel Maas, Frank H. T. Nelissen, et al.. (2020). Transcription and Translation in Cytomimetic Protocells Perform Most Efficiently at Distinct Macromolecular Crowding Conditions. ACS Synthetic Biology. 9(10). 2797–2807. 47 indexed citations

3.

Litschel, Thomas, Beatrice Ramm, Roel Maas, Michaël Heymann, & Petra Schwille. (2018). Beating Vesicles: Encapsulated Protein Oscillations Cause Dynamic Membrane Deformations. Angewandte Chemie International Edition. 57(50). 16286–16290. 121 indexed citations

4.

Litschel, Thomas, Beatrice Ramm, Roel Maas, Michaël Heymann, & Petra Schwille. (2018). Tanzende Vesikel: Proteinoszillationen führen zu periodischer Membranverformung. Angewandte Chemie. 130(50). 16522–16527. 8 indexed citations

5.

Schoonen, Lise, Roel Maas, Roeland J. M. Nolte, & Jan C. M. van Hest. (2017). Expansion of the assembly of cowpea chlorotic mottle virus towards non-native and physiological conditions. Tetrahedron. 73(33). 4968–4971. 15 indexed citations

6.

Hansen, Maike M. K., et al.. (2016). Protein Synthesis in Coupled and Uncoupled Cell-Free Prokaryotic Gene Expression Systems. ACS Synthetic Biology. 5(12). 1433–1440. 19 indexed citations

7.

Hansen, Maike M. K., Lenny H. H. Meijer, Evan Spruijt, et al.. (2015). Macromolecular crowding creates heterogeneous environments of gene expression in picolitre droplets. Nature Nanotechnology. 11(2). 191–197. 125 indexed citations

8.

King, Roy, et al.. (1978). Magnetic relaxation analysis of dynamic processes in macromolecules in the pico- to microsecond range. Biophysical Journal. 24(1). 103–117. 20 indexed citations

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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