Olaf Voolstra

546 total citations
13 papers, 402 citations indexed

About

Olaf Voolstra is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biochemistry. According to data from OpenAlex, Olaf Voolstra has authored 13 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 4 papers in Biochemistry. Recurrent topics in Olaf Voolstra's work include Neurobiology and Insect Physiology Research (10 papers), Antioxidant Activity and Oxidative Stress (4 papers) and Photoreceptor and optogenetics research (4 papers). Olaf Voolstra is often cited by papers focused on Neurobiology and Insect Physiology Research (10 papers), Antioxidant Activity and Oxidative Stress (4 papers) and Photoreceptor and optogenetics research (4 papers). Olaf Voolstra collaborates with scholars based in Germany, United States and Israel. Olaf Voolstra's co-authors include Johannes von Lintig, Armin Huber, Klaus Vogt, Vitus Oberhauser, Martin Hoehne, Susanne Hessel, Andrea Isken, Johanna M. Lampert, Ralf Welsch and Jens Pfannstiel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Olaf Voolstra

13 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olaf Voolstra Germany 9 249 153 146 46 42 13 402
Barbara Pilas United States 12 227 0.9× 65 0.4× 109 0.7× 22 0.5× 29 0.7× 14 587
Michelle Yen United States 9 156 0.6× 100 0.7× 162 1.1× 232 5.0× 31 0.7× 10 337
Takaharu Seki Japan 15 357 1.4× 65 0.4× 247 1.7× 4 0.1× 33 0.8× 30 545
Beibei Zhao China 11 328 1.3× 34 0.2× 57 0.4× 6 0.1× 133 3.2× 19 575
Sunao Hisada Japan 11 284 1.1× 50 0.3× 106 0.7× 28 0.6× 149 3.5× 17 429
Wendell L. Combest United States 14 277 1.1× 21 0.1× 325 2.2× 12 0.3× 29 0.7× 31 559
Mei-Ying Zhu United States 10 352 1.4× 15 0.1× 253 1.7× 74 1.6× 51 1.2× 16 593
Keiichi Kojima Japan 18 423 1.7× 18 0.1× 463 3.2× 9 0.2× 106 2.5× 67 869
Stéphane Debernard France 16 281 1.1× 24 0.2× 515 3.5× 13 0.3× 64 1.5× 45 796

Countries citing papers authored by Olaf Voolstra

Since Specialization
Citations

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

Fields of papers citing papers by Olaf Voolstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olaf Voolstra

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

All Works

13 of 13 papers shown
1.
Voolstra, Olaf & Armin Huber. (2019). Ca2+ Signaling in Drosophila Photoreceptor Cells. Advances in experimental medicine and biology. 1131. 857–879. 8 indexed citations
2.
Voolstra, Olaf, et al.. (2018). Functional characterization of the three Drosophila retinal degeneration C (RDGC) protein phosphatase isoforms. PLoS ONE. 13(9). e0204933–e0204933. 1 indexed citations
3.
Voolstra, Olaf, et al.. (2017). The Phosphorylation State of theDrosophilaTRP Channel Modulates the Frequency Response to Oscillating LightIn Vivo. Journal of Neuroscience. 37(15). 4213–4224. 9 indexed citations
4.
Katz, Ben, et al.. (2017). The latency of the light response is modulated by the phosphorylation state of Drosophila TRP at a specific site. Channels. 11(6). 678–685. 5 indexed citations
5.
6.
Voolstra, Olaf & Armin Huber. (2014). Post-Translational Modifications of TRP Channels. Cells. 3(2). 258–287. 39 indexed citations
7.
8.
Voolstra, Olaf, et al.. (2011). The Drosophila TRPL ion channel shares a Rab-dependent translocation pathway with rhodopsin. European Journal of Cell Biology. 90(8). 620–630. 22 indexed citations
9.
Voolstra, Olaf, et al.. (2010). Light-dependent Phosphorylation of the Drosophila Transient Receptor Potential Ion Channel. Journal of Biological Chemistry. 285(19). 14275–14284. 28 indexed citations
10.
Voolstra, Olaf, Vitus Oberhauser, Nina Meyer, et al.. (2009). NinaB Is Essential for Drosophila Vision but Induces Retinal Degeneration in Opsin-deficient Photoreceptors. Journal of Biological Chemistry. 285(3). 2130–2139. 43 indexed citations
11.
Oberhauser, Vitus, et al.. (2008). NinaB combines carotenoid oxygenase and retinoid isomerase activity in a single polypeptide. Proceedings of the National Academy of Sciences. 105(48). 19000–19005. 77 indexed citations
12.
13.
Lintig, Johannes von, Susanne Hessel, Andrea Isken, et al.. (2004). Towards a better understanding of carotenoid metabolism in animals. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1740(2). 122–131. 87 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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