David Zwicker

49 papers receiving 1.7k citations

David Zwicker's Hit Papers

Growth and division of active droplets provides a model for protocells 2016 · 322 citations
3220+3+6Years since publication100200300

Peers

David Zwicker
Comparison fields: 5 of 108
  • Condensed Matter Physics 241
  • Cell Biology 293
  • Aging 28
  • Molecular Biology 937
  • Statistical and Nonlinear Physics 145
Replace Stephanie C. Weber with:
Stephanie C. Weber United States
Tsvi Tlusty Israel
Moritz Kreysing Germany
Kingshuk Ghosh United States
Gül H. Zerze United States
Martin Falcke Germany
Günther Woehlke Germany
S. M. Ali Tabei United States
Tadashi Ando Japan
Chiu Fan Lee United Kingdom
David Zwicker relative to Stephanie C. Weber United States Stephanie C. Weber's profile →
Citations per field
00.5×3.3×
Stephanie C. Weber · 1×
Citations per year

Countries citing papers authored by David Zwicker

Since Specialization
Citations

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

Fields of papers citing papers by David Zwicker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Growth and division of active droplets provides a model for protocells
Hit paper breakdown →
2016322
2 2011230
3 2014160
4 2015160
5 2019155
6 202170
7 201068
8 202268
9 202266
10 202048
11 201642
12 200539
13 202236
14 202331
15 201624
16 202323
17 201821
18 201819
19 202118
20 201813

About David Zwicker

David Zwicker is a scholar working on Molecular Biology, Condensed Matter Physics, Biomedical Engineering, Cell Biology and Materials Chemistry, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), RNA Research and Splicing (7 papers), Micro and Nano Robotics (7 papers), Photosynthetic Processes and Mechanisms (6 papers), nanoparticles nucleation surface interactions (5 papers), Protein Structure and Dynamics (5 papers), Neurobiology and Insect Physiology Research (4 papers) and Origins and Evolution of Life (4 papers). The work is most often cited by research in Condensed Matter Physics (241 citations), Cell Biology (293 citations), Aging (28 citations), Molecular Biology (937 citations) and Statistical and Nonlinear Physics (145 citations). David Zwicker has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Anthony A. Hyman, Frank Jülicher, Felix Ruhnow, Stefan Diez, Christoph A. Weber, Rabea Seyboldt, Markus Decker, Steffen Jaensch, Salma Sohrabi-Jahromi and Marc Boehning. Their work appears in journals such as Physical Review Research, Proceedings of the National Academy of Sciences, Physical Review Letters, Journal of The Royal Society Interface and Physical review. E.

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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