Pauline van Nies

842 total citations
9 papers, 589 citations indexed

About

Pauline van Nies is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Pauline van Nies has authored 9 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Ecology. Recurrent topics in Pauline van Nies's work include RNA and protein synthesis mechanisms (8 papers), Bacterial Genetics and Biotechnology (5 papers) and Bacteriophages and microbial interactions (3 papers). Pauline van Nies is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), Bacterial Genetics and Biotechnology (5 papers) and Bacteriophages and microbial interactions (3 papers). Pauline van Nies collaborates with scholars based in Netherlands, United States and Germany. Pauline van Nies's co-authors include Christophe Danelon, Ilja Westerlaken, Margarita Salas, Mario Mencı́a, Roderick Y. H. Lim, Cees Dekker, Stefan W. Kowalczyk, Timothy R. Blosser, Larisa E. Kapinos and David Dulin and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Nanotechnology.

In The Last Decade

Pauline van Nies

9 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pauline van Nies Netherlands	9	394	226	69	55	54	9	589
Michael Gebinoga Germany	12	142 0.4×	148 0.7×	61 0.9×	11 0.2×	68 1.3×	28	425
Myong‐Jung Kim United States	10	648 1.6×	73 0.3×	60 0.9×	33 0.6×	12 0.2×	15	736
Jonathan Garamella United States	11	441 1.1×	174 0.8×	69 1.0×	7 0.1×	17 0.3×	14	627
Fabrizio Benedetti Switzerland	15	438 1.1×	61 0.3×	65 0.9×	15 0.3×	38 0.7×	28	637
Anette Jacob Germany	14	695 1.8×	195 0.9×	37 0.5×	31 0.6×	35 0.6×	19	877
Gavin Young United Kingdom	10	315 0.8×	196 0.9×	32 0.5×	10 0.2×	56 1.0×	12	600
Daniel S. Johnson United States	12	481 1.2×	67 0.3×	86 1.2×	26 0.5×	31 0.6×	18	679
Igor Orlov France	13	356 0.9×	46 0.2×	117 1.7×	41 0.7×	12 0.2×	15	629
Aleksandre Japaridze Netherlands	13	304 0.8×	86 0.4×	155 2.2×	55 1.0×	17 0.3×	25	478
Felix C. Keber United States	9	293 0.7×	165 0.7×	15 0.2×	15 0.3×	16 0.3×	12	817

Countries citing papers authored by Pauline van Nies

Since Specialization

Citations

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

Fields of papers citing papers by Pauline van Nies

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pauline van Nies. 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 Pauline van Nies. The network helps show where Pauline van Nies may publish in the future.

Co-authorship network of co-authors of Pauline van Nies

This figure shows the co-authorship network connecting the top 25 collaborators of Pauline van Nies. A scholar is included among the top collaborators of Pauline van Nies 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 Pauline van Nies. Pauline van Nies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Bera, Subhas Chandra, Robert N. Kirchdoerfer, Pauline van Nies, et al.. (2021). The nucleotide addition cycle of the SARS-CoV-2 polymerase. Cell Reports. 36(9). 109650–109650. 21 indexed citations

Bera, Subhas Chandra, Pauline van Nies, Robert N. Kirchdoerfer, et al.. (2021). Inhibition of SARS-CoV-2 polymerase by nucleotide analogs from a single-molecule perspective. eLife. 10. 51 indexed citations

Nies, Pauline van, Jamie J. Arnold, Minna M. Poranen, et al.. (2020). Temperature controlled high-throughput magnetic tweezers show striking difference in activation energies of replicating viral RNA-dependent RNA polymerases. Nucleic Acids Research. 48(10). 5591–5602. 21 indexed citations

Doerr, Anne, et al.. (2019). Modelling cell-free RNA and protein synthesis with minimal systems. Physical Biology. 16(2). 25001–25001. 46 indexed citations

Nies, Pauline van, et al.. (2019). Quantitative imaging of gene-expressing liposomes reveals rare favorable phenotypes. Physical Biology. 16(4). 45002–45002. 20 indexed citations

Nies, Pauline van, et al.. (2018). Self-replication of DNA by its encoded proteins in liposome-based synthetic cells. Nature Communications. 9(1). 1583–1583. 181 indexed citations

Nies, Pauline van, et al.. (2015). Monitoring mRNA and Protein Levels in Bulk and in Model Vesicle-Based Artificial Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 550. 187–214. 11 indexed citations

Nies, Pauline van, Roeland Van Wijk, Ilja Westerlaken, et al.. (2013). Unbiased Tracking of the Progression of mRNA and Protein Synthesis in Bulk and in Liposome‐Confined Reactions. ChemBioChem. 14(15). 1963–1966. 35 indexed citations

Kowalczyk, Stefan W., Larisa E. Kapinos, Timothy R. Blosser, et al.. (2011). Single-molecule transport across an individual biomimetic nuclear pore complex. Nature Nanotechnology. 6(7). 433–438. 203 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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