Qui Van

611 total citations
9 papers, 466 citations indexed

About

Qui Van is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Reproductive Medicine. According to data from OpenAlex, Qui Van has authored 9 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Reproductive Medicine. Recurrent topics in Qui Van's work include Photoreceptor and optogenetics research (4 papers), Sperm and Testicular Function (3 papers) and Neuroendocrine regulation and behavior (2 papers). Qui Van is often cited by papers focused on Photoreceptor and optogenetics research (4 papers), Sperm and Testicular Function (3 papers) and Neuroendocrine regulation and behavior (2 papers). Qui Van collaborates with scholars based in Germany, United States and United Kingdom. Qui Van's co-authors include Ingo Weyand, U. Benjamin Kaupp, Volker Hagen, Eilo Hildebrand, Jörg Enderlein, Motonori Hoshi, Midori Matsumoto, Martín Bohmër, Michael Beyermann and Ingo Gregor and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and Nature Cell Biology.

In The Last Decade

Qui Van

9 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qui Van Germany 7 203 139 123 79 68 9 466
Johannes Solzin Germany 8 162 0.8× 94 0.7× 98 0.8× 62 0.8× 37 0.5× 16 432
Jan F. Jikeli Germany 13 192 0.9× 84 0.6× 216 1.8× 169 2.1× 122 1.8× 14 609
Andreas Rennhack Germany 9 121 0.6× 71 0.5× 79 0.6× 70 0.9× 72 1.1× 11 381
Anat Bahat Israel 10 205 1.0× 79 0.6× 225 1.8× 183 2.3× 62 0.9× 16 549
René Pascal Germany 6 83 0.4× 54 0.4× 77 0.6× 60 0.8× 88 1.3× 8 338
Mitsuki Yoneda Japan 16 296 1.5× 108 0.8× 79 0.6× 142 1.8× 87 1.3× 31 863
Eilo Hildebrand Germany 18 534 2.6× 632 4.5× 145 1.2× 93 1.2× 127 1.9× 45 1.1k
Guangfu Hu China 16 196 1.0× 111 0.8× 124 1.0× 13 0.2× 47 0.7× 72 740
Petra M. Wandernoth Germany 9 160 0.8× 67 0.5× 120 1.0× 97 1.2× 24 0.4× 9 422
Normann Goodwin Germany 8 262 1.3× 135 1.0× 530 4.3× 427 5.4× 55 0.8× 10 928

Countries citing papers authored by Qui Van

Since Specialization
Citations

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

Fields of papers citing papers by Qui Van

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qui Van

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

All Works

9 of 9 papers shown
1.
Rauscher, Sarah, Vytautas Gapsys, Man Zhou, et al.. (2016). Structural Ensembles of Intrinsically Disordered Proteins Depend Strongly on Force Field: A Comparison to Experiment. Biophysical Journal. 110(3). 358a–358a. 5 indexed citations
2.
Halder, Kangkan, Nicole Dölker, Qui Van, et al.. (2015). MD Simulations and FRET Reveal an Environment-Sensitive Conformational Plasticity of Importin-β. Biophysical Journal. 109(2). 277–286. 19 indexed citations
3.
Weyand, Ingo, Reinhard Seifert, Wolfgang Bönigk, et al.. (2014). High density and ligand affinity confer ultrasensitive signal detection by a guanylyl cyclase chemoreceptor. The Journal of Cell Biology. 206(4). 541–557. 36 indexed citations
4.
Weyand, Ingo, Reinhard Seifert, Wolfgang Bönigk, et al.. (2014). High density and ligand affinity confer ultrasensitive signal detection by a guanylyl cyclase chemoreceptor. The Journal of Cell Biology. 207(5). 675–675. 3 indexed citations
5.
Álvarez, Luis, Katharina Debowski, Qui Van, et al.. (2013). CRIS—A Novel cAMP-Binding Protein Controlling Spermiogenesis and the Development of Flagellar Bending. PLoS Genetics. 9(12). e1003960–e1003960. 44 indexed citations
6.
Neef, Andreas, et al.. (2013). Quantifying the Diffusion of Membrane Proteins and Peptides in Black Lipid Membranes with 2-Focus Fluorescence Correlation Spectroscopy. Biophysical Journal. 105(2). 455–462. 87 indexed citations
7.
Strünker, Timo, Ingo Weyand, Wolfgang Bönigk, et al.. (2006). A K+-selective cGMP-gated ion channel controls chemosensation of sperm. Nature Cell Biology. 8(10). 1149–1154. 98 indexed citations
8.
Bohmër, Martín, Qui Van, Ingo Weyand, et al.. (2005). Ca2+ spikes in the flagellum control chemotactic behavior of sperm. The EMBO Journal. 24(15). 2741–2752. 151 indexed citations
9.
Solzin, Johannes, Qui Van, J. E. Brown, et al.. (2004). Revisiting the Role of H+ in Chemotactic Signaling of Sperm. The Journal of General Physiology. 124(2). 115–124. 23 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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