Paul E. Schavemaker

516 total citations
10 papers, 320 citations indexed

About

Paul E. Schavemaker is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Paul E. Schavemaker has authored 10 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Ecology and 5 papers in Genetics. Recurrent topics in Paul E. Schavemaker's work include Bacterial Genetics and Biotechnology (4 papers), Protein Structure and Dynamics (3 papers) and Protist diversity and phylogeny (3 papers). Paul E. Schavemaker is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Protein Structure and Dynamics (3 papers) and Protist diversity and phylogeny (3 papers). Paul E. Schavemaker collaborates with scholars based in Netherlands, United States and Belgium. Paul E. Schavemaker's co-authors include Bert Poolman, Michael Lynch, Arnold J. Boersma, Sergio A. Muñoz-Gómez, Jacek T. Mika, Victor Krasnikov, Gemma Moiset, Andrew Robinson, Frans Bianchi and Christiaan M. Punter and has published in prestigious journals such as Nature Communications, Trends in Biochemical Sciences and Molecular Microbiology.

In The Last Decade

Paul E. Schavemaker

10 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul E. Schavemaker Netherlands 7 229 81 60 39 29 10 320
Euan Pyle United Kingdom 12 350 1.5× 83 1.0× 37 0.6× 59 1.5× 21 0.7× 14 532
Simon Kretschmer Germany 10 276 1.2× 93 1.1× 62 1.0× 65 1.7× 22 0.8× 14 360
Christiaan M. Punter Netherlands 8 246 1.1× 107 1.3× 32 0.5× 39 1.0× 61 2.1× 14 327
Grzegorz Chwastek Germany 12 374 1.6× 57 0.7× 44 0.7× 69 1.8× 38 1.3× 15 479
Gabriele Malengo Germany 10 175 0.8× 48 0.6× 26 0.4× 62 1.6× 45 1.6× 15 273
Kevin D. Whitley United States 12 285 1.2× 76 0.9× 87 1.4× 26 0.7× 54 1.9× 19 427
Jonas van den Berg Netherlands 6 244 1.1× 55 0.7× 38 0.6× 16 0.4× 35 1.2× 8 302
Sander Verbrugge Netherlands 5 281 1.2× 123 1.5× 115 1.9× 57 1.5× 32 1.1× 6 343
Ashley L. Nord France 12 312 1.4× 83 1.0× 59 1.0× 32 0.8× 15 0.5× 25 443
Gabriela Gonzalez-Bonet United States 4 271 1.2× 206 2.5× 79 1.3× 54 1.4× 77 2.7× 4 398

Countries citing papers authored by Paul E. Schavemaker

Since Specialization
Citations

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

Fields of papers citing papers by Paul E. Schavemaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul E. Schavemaker. 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 Paul E. Schavemaker. The network helps show where Paul E. Schavemaker may publish in the future.

Co-authorship network of co-authors of Paul E. Schavemaker

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

All Works

10 of 10 papers shown
1.
Schavemaker, Paul E. & Michael Lynch. (2025). Quantifying the evolutionary paths to endomembranes. Cell Reports. 44(4). 115533–115533. 2 indexed citations
2.
Schavemaker, Paul E. & Michael Lynch. (2025). Bioenergetics and the Evolution of Cellular Traits. Annual Review of Biophysics. 54(1). 81–99. 1 indexed citations
3.
Schavemaker, Paul E. & Sergio A. Muñoz-Gómez. (2022). The role of mitochondrial energetics in the origin and diversification of eukaryotes. Nature Ecology & Evolution. 6(9). 1307–1317. 26 indexed citations
4.
Schavemaker, Paul E. & Michael Lynch. (2022). Flagellar energy costs across the tree of life. eLife. 11. 45 indexed citations
5.
Lynch, Michael, et al.. (2022). Evolutionary bioenergetics of ciliates. Journal of Eukaryotic Microbiology. 69(5). e12934–e12934. 9 indexed citations
6.
Schavemaker, Paul E. & Bert Poolman. (2018). (Membrane) Protein Production in Context. Trends in Biochemical Sciences. 43(11). 858–868. 2 indexed citations
7.
Bianchi, Frans, Gemma Moiset, Paul E. Schavemaker, et al.. (2018). Steric exclusion and protein conformation determine the localization of plasma membrane transporters. Nature Communications. 9(1). 501–501. 56 indexed citations
8.
Schavemaker, Paul E., Arnold J. Boersma, & Bert Poolman. (2018). How Important Is Protein Diffusion in Prokaryotes?. Frontiers in Molecular Biosciences. 5. 72 indexed citations
9.
Schavemaker, Paul E., et al.. (2017). Ribosome surface properties may impose limits on the nature of the cytoplasmic proteome. eLife. 6. 76 indexed citations
10.
Mika, Jacek T., Paul E. Schavemaker, Victor Krasnikov, & Bert Poolman. (2014). Impact of osmotic stress on protein diffusion in Lactococcus lactis. Molecular Microbiology. 94(4). 857–870. 31 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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