Marten Postma

5.3k total citations · 1 hit paper
61 papers, 2.9k citations indexed

About

Marten Postma is a scholar working on Molecular Biology, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marten Postma has authored 61 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 16 papers in Artificial Intelligence and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marten Postma's work include Topic Modeling (14 papers), Natural Language Processing Techniques (14 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). Marten Postma is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (14 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). Marten Postma collaborates with scholars based in Netherlands, United States and United Kingdom. Marten Postma's 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 and has published in prestigious journals such as Nature, Nature Communications and Neuron.

In The Last Decade

Marten Postma

55 papers receiving 2.9k citations

Hit Papers

mScarlet: a bright monomeric red fluorescent protein for ... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marten Postma Netherlands 26 1.5k 627 462 457 446 61 2.9k
Arthur Edelstein United States 5 1.3k 0.9× 511 0.8× 628 1.4× 295 0.6× 121 0.3× 7 2.7k
Marcel Mettlen United States 27 2.9k 2.0× 1.8k 2.9× 646 1.4× 332 0.7× 195 0.4× 43 4.5k
Hana El‐Samad United States 35 3.7k 2.5× 732 1.2× 302 0.7× 496 1.1× 299 0.7× 78 4.7k
Hang Lu United States 46 1.8k 1.2× 505 0.8× 343 0.7× 1.2k 2.6× 232 0.5× 176 6.3k
Nenad Amodaj Serbia 4 1.3k 0.9× 502 0.8× 558 1.2× 295 0.6× 117 0.3× 5 2.6k
Paul R. Fisher Australia 31 1.4k 0.9× 1.1k 1.7× 157 0.3× 302 0.7× 223 0.5× 135 2.8k
Gašper Tkačik Austria 35 2.0k 1.4× 187 0.3× 218 0.5× 473 1.0× 142 0.3× 83 3.4k
Shigeki Watanabe Japan 37 2.3k 1.6× 1.5k 2.5× 402 0.9× 1.2k 2.7× 128 0.3× 182 5.1k
William C. Lemon United States 19 798 0.5× 226 0.4× 836 1.8× 645 1.4× 106 0.2× 33 2.3k

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 of co-authors of Marten Postma

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

All Works

20 of 20 papers shown
1.
Bindels, Daphne S., Marten Postma, Lindsay Haarbosch, Laura van Weeren, & Theodorus W. J. Gadella. (2020). Multiparameter screening method for developing optimized red-fluorescent proteins. Nature Protocols. 15(2). 450–478. 23 indexed citations
2.
Whiteside, Matthew D., Gijsbert D. A. Werner, Victor Caldas, et al.. (2019). Mycorrhizal Fungi Respond to Resource Inequality by Moving Phosphorus from Rich to Poor Patches across Networks. Current Biology. 29(12). 2043–2050.e8. 108 indexed citations
3.
Unen, Jakobus van, Dennis Botman, Tong Yin, et al.. (2018). The C-terminus of the oncoprotein TGAT is necessary for plasma membrane association and efficient RhoA-mediated signaling. BMC Cell Biology. 19(1). 6–6. 7 indexed citations
4.
Mastop, Marieke, Daphne S. Bindels, Nathan C. Shaner, et al.. (2017). Characterization of a spectrally diverse set of fluorescent proteins as FRET acceptors for mTurquoise2. Scientific Reports. 7(1). 11999–11999. 65 indexed citations
5.
Postma, Marten, et al.. (2016). Open Dutch WordNet. 302–310.
6.
Postma, Marten & Piek Vossen. (2015). Open Source Dutch WordNet. Data Archiving and Networked Services (DANS).
7.
Postma, Marten, et al.. (2015). Error analysis of Word Sense Disambiguation. Data Archiving and Networked Services (DANS). 2 indexed citations
8.
Izquierdo, Rubén, Marten Postma, & Piek Vossen. (2015). Topic Modeling and Word Sense Disambiguation on the Ancora corpus. Procesamiento del lenguaje natural. 55(55). 15–22. 5 indexed citations
9.
Postma, Marten & Piek Vossen. (2014). What implementation and translation teach us: the case of semantic similarity measures in wordnets. 133–141. 3 indexed citations
10.
Ingaramo, Maria, et al.. (2014). Richardson–Lucy Deconvolution as a General Tool for Combining Images with Complementary Strengths. ChemPhysChem. 15(4). 794–800. 70 indexed citations
11.
Moling, Sjef, Anna Pietraszewska‐Bogiel, Marten Postma, et al.. (2014). Nod Factor Receptors Form Heteromeric Complexes and Are Essential for Intracellular Infection inMedicagoNodules. The Plant Cell. 26(10). 4188–4199. 66 indexed citations
12.
Crosby, Kevin C., et al.. (2013). Quantitative Analysis of Self-Association and Mobility of Annexin A4 at the Plasma Membrane. Biophysical Journal. 104(9). 1875–1885. 29 indexed citations
13.
Hink, Mark A. & Marten Postma. (2013). Monitoring Receptor Oligomerization by Line-Scan Fluorescence Cross-Correlation Spectroscopy. Methods in cell biology. 117. 197–212. 6 indexed citations
14.
Postma, Marten, et al.. (2011). Modeling Filamentous Cyanobacteria Reveals the Advantages of Long and Fast Trichomes for Optimizing Light Exposure. PLoS ONE. 6(7). e22084–e22084. 19 indexed citations
15.
Postma, Marten, et al.. (2010). A cell-based model of Nematostella vectensis gastrulation including bottle cell formation, invagination and zippering. Developmental Biology. 351(1). 217–228. 46 indexed citations
16.
Huang, Jiehong, et al.. (2010). Activation of TRP Channels by Protons and Phosphoinositide Depletion in Drosophila Photoreceptors. Current Biology. 20(3). 189–197. 106 indexed citations
17.
Postma, Marten, et al.. (2009). Inferring Drosophila gap gene regulatory network: a parameter sensitivity and perturbation analysis. BMC Systems Biology. 3(1). 94–94. 20 indexed citations
18.
Gu, Yuchun, Johannes Oberwinkler, Marten Postma, & Roger Hardie. (2005). Mechanisms of Light Adaptation in Drosophila Photoreceptors. Current Biology. 15(13). 1228–1234. 75 indexed citations
19.
Postma, Marten, Jeroen Roelofs, Joachim Goedhart, et al.. (2003). Uniform cAMP Stimulation of Dictyostelium Cells Induces Localized Patches of Signal Transduction and Pseudopodia. Molecular Biology of the Cell. 14(12). 5019–5027. 90 indexed citations
20.
Postma, Marten. (2003). Spatial and temporal aspects in biological signal transduction: Diffusion, reaction and geometry in Drosophila phototransduction and Dictyostelium chemotaxis. Data Archiving and Networked Services (DANS). 1 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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