Marten Postma

5.3k citations
61 papers · 2.9k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Marten Postma

55 papers receiving 2.9k citations

Hit Papers

mScarlet: a bright monomeric red fluorescent protein for cellular imaging 2016 · 739 citations
7392016202620192022200400600

Peers

Marten Postma
Comparison fields: 5 of 154
  • Biophysics 462
  • Structural Biology 61
  • Cell Biology 627
  • Aging 47
  • Cellular and Molecular Neuroscience 457
Replace Arthur Edelstein with:
Arthur Edelstein United States
Nenad Amodaj Serbia
Fredric S. Fay United States
Joachim Goedhart Netherlands
Marcel Mettlen United States
Tomonobu M. Watanabe Japan
Martin Lehmann Germany
Oliver Rinner Switzerland
Mark A. Hink Netherlands
Erik L. Snapp United States
Marten Postma relative to Arthur Edelstein United States Arthur Edelstein's profile →
Citations per field
00.5×1.5×
Arthur Edelstein · 1×
Citations per year

Countries citing papers authored by Marten Postma

Since Specialization
Citations

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

Fields of papers citing papers by Marten Postma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202023
2 2019108
3 20187
4 201765
5 20160
6
Open Source Dutch WordNet
20150
7
Error analysis of Word Sense Disambiguation
20152
8
Topic Modeling and Word Sense Disambiguation on the Ancora corpus
20155
9 20143
10 201470
11 201466
12 201329
13 20136
14 201119
15 201046
16 2010106
17 200920
18 200575
19 200390
20
Spatial and temporal aspects in biological signal transduction: Diffusion, reaction and geometry in Drosophila phototransduction and Dictyostelium chemotaxis
20031

About Marten Postma

Marten Postma is a scholar working on Biophysics, Structural Biology, Sensory Systems, Cell Biology and Cellular and Molecular Neuroscience, having authored 61 papers that have together received 2.9k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (14 papers), Advanced Fluorescence Microscopy Techniques (8 papers), Neurobiology and Insect Physiology Research (7 papers), Semantic Web and Ontologies (7 papers), Cellular Mechanics and Interactions (6 papers), Receptor Mechanisms and Signaling (6 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Biophysics (462 citations), Structural Biology (61 citations), Cell Biology (627 citations), Aging (47 citations) and Cellular and Molecular Neuroscience (457 citations). Marten Postma has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Joachim Goedhart, Theodorus W. J. Gadella, Peter J.M. Van Haastert, Mark A. Hink, Daphne S. Bindels, Marieke Mastop, Laura van Weeren, Lindsay Haarbosch, Antoine Royant and Sylvain Aumonier. Their work appears in journals such as Scientific Reports, Current Biology, Biophysical Journal, Proceedings of the Royal Society B Biological Sciences and Molecular Biology of the Cell.

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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2026