Sven Lang

1.9k total citations
42 papers, 1.4k citations indexed

About

Sven Lang is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Sven Lang has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 25 papers in Cell Biology and 7 papers in Genetics. Recurrent topics in Sven Lang's work include Endoplasmic Reticulum Stress and Disease (24 papers), Cellular transport and secretion (10 papers) and RNA and protein synthesis mechanisms (10 papers). Sven Lang is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (24 papers), Cellular transport and secretion (10 papers) and RNA and protein synthesis mechanisms (10 papers). Sven Lang collaborates with scholars based in Germany, Netherlands and United States. Sven Lang's co-authors include Richard Zimmermann, Volkhard Helms, Adolfo Cavalié, Friedrich Förster, Johanna Dudek, Stefan Pfeffer, Stefan Schorr, Martin Jung, Nico Schäuble and Duy Nguyen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Sven Lang

41 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven Lang Germany 19 941 680 204 160 117 42 1.4k
Frédérique Dewitte France 20 966 1.0× 468 0.7× 255 1.3× 84 0.5× 58 0.5× 37 1.4k
Toumy Guettouche United States 12 1.7k 1.8× 429 0.6× 92 0.5× 168 1.1× 110 0.9× 20 2.0k
Stefan Schorr Germany 12 705 0.7× 514 0.8× 134 0.7× 106 0.7× 90 0.8× 16 945
Benedict C. S. Cross United Kingdom 13 636 0.7× 591 0.9× 143 0.7× 121 0.8× 272 2.3× 18 1.0k
Peter Tessarz Germany 18 1.9k 2.1× 319 0.5× 233 1.1× 144 0.9× 111 0.9× 32 2.3k
Veit Goder Spain 17 1.2k 1.3× 906 1.3× 346 1.7× 119 0.7× 349 3.0× 26 1.7k
Douglas E. Feldman United States 16 957 1.0× 386 0.6× 74 0.4× 146 0.9× 235 2.0× 20 1.3k
Daniel Cimbora United States 21 1.4k 1.5× 421 0.6× 267 1.3× 307 1.9× 199 1.7× 36 2.2k
Hélène Bénédetti France 22 1.0k 1.1× 382 0.6× 310 1.5× 60 0.4× 62 0.5× 39 1.5k
Matthias Gautschi Switzerland 21 1.1k 1.2× 289 0.4× 211 1.0× 209 1.3× 184 1.6× 55 1.8k

Countries citing papers authored by Sven Lang

Since Specialization
Citations

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

Fields of papers citing papers by Sven Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Lang. A scholar is included among the top collaborators of Sven Lang 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 Sven Lang. Sven Lang 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.
Radosa, Julia Caroline, Mariz Kasoha, Maximilian Linxweiler, et al.. (2023). The 3q Oncogene SEC62 Predicts Response to Neoadjuvant Chemotherapy and Regulates Tumor Cell Migration in Triple Negative Breast Cancer. International Journal of Molecular Sciences. 24(11). 9576–9576. 2 indexed citations
2.
Lang, Sven, Duy Nguyen, Pratiti Bhadra, et al.. (2022). Signal Peptide Features Determining the Substrate Specificities of Targeting and Translocation Components in Human ER Protein Import. Frontiers in Physiology. 13. 833540–833540. 15 indexed citations
3.
4.
Melnyk, Armin, et al.. (2022). Co-chaperones of the Human Endoplasmic Reticulum: An Update. Sub-cellular biochemistry. 101. 247–291. 5 indexed citations
5.
Lang, Sven, Florian Bochen, Andreas Roos, et al.. (2021). Complexity and Specificity of Sec61-Channelopathies: Human Diseases Affecting Gating of the Sec61 Complex. Cells. 10(5). 1036–1036. 27 indexed citations
6.
Beck, Andreas, Yvonne Schwarz, Claudia Schirra, et al.. (2021). Remodelling of Ca2+ homeostasis is linked to enlarged endoplasmic reticulum in secretory cells. Cell Calcium. 99. 102473–102473. 9 indexed citations
7.
Lang, Sven, et al.. (2020). Prion Protein Translocation Mechanism Revealed by Pulling Force Studies. Journal of Molecular Biology. 432(16). 4447–4465. 11 indexed citations
8.
Zimmermann, Katharina, Stefan Schorr, Martina Landini, et al.. (2018). AXER is an ATP/ADP exchanger in the membrane of the endoplasmic reticulum. Nature Communications. 9(1). 3489–3489. 55 indexed citations
9.
Nguyen, Duy, Stefan Schorr, Sven Lang, et al.. (2018). Proteomics reveals signal peptide features determining the client specificity in human TRAP-dependent ER protein import. Nature Communications. 9(1). 3765–3765. 66 indexed citations
10.
Lang, Sven, Stefan Pfeffer, Adolfo Cavalié, et al.. (2017). An Update on Sec61 Channel Functions, Mechanisms, and Related Diseases. Frontiers in Physiology. 8. 887–887. 108 indexed citations
11.
Chi, Thomas, Man Su Kim, Sven Lang, et al.. (2015). A Drosophila Model Identifies a Critical Role for Zinc in Mineralization for Kidney Stone Disease. PLoS ONE. 10(5). e0124150–e0124150. 66 indexed citations
12.
Dudek, Johanna, Sven Lang, Stefan Schorr, et al.. (2013). Analysis of Protein Translocation into the Endoplasmic Reticulum of Human Cells. Methods in molecular biology. 1033. 285–299. 7 indexed citations
13.
Lang, Sven, Lisa Michelle Restelli, Margit Miesbauer, et al.. (2013). Structural features within the nascent chain regulate alternative targeting of secretory proteins to mitochondria. The EMBO Journal. 32(7). 1036–1051. 31 indexed citations
14.
Lang, Sven, Sorin V. Fedeles, Stefan Schorr, et al.. (2012). Differential effects of Sec61α-, Sec62- and Sec63-depletion on transport of polypeptides into the endoplasmic reticulum of mammalian cells. Journal of Cell Science. 125(Pt 8). 1958–69. 122 indexed citations
15.
Pfeffer, Stefan, Florian Brandt, Thomas Hrabe, et al.. (2012). Structure and 3D Arrangement of Endoplasmic Reticulum Membrane-Associated Ribosomes. Structure. 20(9). 1508–1518. 71 indexed citations
16.
Schäuble, Nico, Sven Lang, Martin Jung, et al.. (2012). BiP-mediated closing of the Sec61 channel limits Ca 2+ leakage from the ER. The EMBO Journal. 31(18). 3784–3784. 1 indexed citations
17.
Lang, Sven, Frank Erdmann, Martin Jung, et al.. (2011). Sec61 complexes form ubiquitous ER Ca2+leak channels. Channels. 5(3). 228–235. 68 indexed citations
18.
Lang, Sven, Nico Schäuble, Adolfo Cavalié, & Richard Zimmermann. (2011). Live Cell Calcium Imaging Combined with siRNA Mediated Gene Silencing Identifies Ca<sup>2+</sup> Leak Channels in the ER Membrane and their Regulatory Mechanisms. Journal of Visualized Experiments. e2730–e2730. 16 indexed citations
19.
Greiner, Markus, Sven Lang, Volker Jung, et al.. (2011). Sec62 protein level is crucial for the ER stress tolerance of prostate cancer. The Prostate. 71(10). 1074–1083. 37 indexed citations
20.
Erdmann, Frank, Martin Jung, Susanne Eyrisch, et al.. (2009). Lanthanum ions inhibit the mammalian Sec61 complex in its channel dynamics and protein transport activity. FEBS Letters. 583(14). 2359–2364. 19 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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