Blanche Schwappach

8.8k total citations · 3 hit papers
83 papers, 6.5k citations indexed

About

Blanche Schwappach is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Blanche Schwappach has authored 83 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 39 papers in Cell Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Blanche Schwappach's work include Endoplasmic Reticulum Stress and Disease (30 papers), Cellular transport and secretion (27 papers) and Ion channel regulation and function (17 papers). Blanche Schwappach is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (30 papers), Cellular transport and secretion (27 papers) and Ion channel regulation and function (17 papers). Blanche Schwappach collaborates with scholars based in Germany, United Kingdom and United States. Blanche Schwappach's co-authors include Lily Yeh Jan, Yuh Nung Jan, Noa Zerangue, Thomas J. Jentsch, Volker Schmid, Hebao Yuan, Maya Schuldiner, Klaus Steinmeyer, Jonathan S. Weissman and Vladimir Denic and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Blanche Schwappach

82 papers receiving 6.4k citations

Hit Papers

A New ER Trafficking Signal Regulates the Subunit Stoichi... 1996 2026 2006 2016 1999 2009 1996 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Blanche Schwappach Germany 41 5.1k 1.9k 933 646 492 83 6.5k
Kendall Blumer United States 47 6.7k 1.3× 1.5k 0.8× 1.3k 1.4× 811 1.3× 192 0.4× 107 8.1k
Holger Rehmann Netherlands 39 5.1k 1.0× 1.7k 0.9× 718 0.8× 336 0.5× 212 0.4× 75 7.2k
Futoshi Shibasaki Japan 39 4.4k 0.9× 836 0.4× 703 0.8× 579 0.9× 327 0.7× 96 6.1k
Matilde Caivano United Kingdom 12 5.0k 1.0× 858 0.5× 837 0.9× 342 0.5× 335 0.7× 16 7.3k
Kenta Hara Japan 39 7.5k 1.5× 1.5k 0.8× 729 0.8× 227 0.4× 306 0.6× 67 9.5k
Yasemin Sancak United States 23 9.2k 1.8× 2.4k 1.3× 1000 1.1× 225 0.3× 437 0.9× 42 11.7k
Ethan Lee United States 39 5.0k 1.0× 1.0k 0.5× 513 0.5× 152 0.2× 233 0.5× 103 6.2k
Christophé Erneux Belgium 49 5.6k 1.1× 2.1k 1.1× 818 0.9× 224 0.3× 109 0.2× 234 7.4k
Mordechai Liscovitch Israel 43 4.3k 0.8× 2.1k 1.1× 508 0.5× 180 0.3× 302 0.6× 81 6.1k
Hidetaka Kosako Japan 43 5.3k 1.0× 1.9k 1.0× 661 0.7× 120 0.2× 208 0.4× 118 7.6k

Countries citing papers authored by Blanche Schwappach

Since Specialization
Citations

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

Fields of papers citing papers by Blanche Schwappach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Blanche Schwappach

This figure shows the co-authorship network connecting the top 25 collaborators of Blanche Schwappach. A scholar is included among the top collaborators of Blanche Schwappach 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 Blanche Schwappach. Blanche Schwappach 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
2.
McDowell, Melanie A., Giray Enkavi, Klemens Wild, et al.. (2023). The GET insertase exhibits conformational plasticity and induces membrane thinning. Nature Communications. 14(1). 7355–7355. 4 indexed citations
3.
Patel, Mehul, et al.. (2022). The intramembrane proteases SPPL2a and SPPL2b regulate the homeostasis of selected SNARE proteins. FEBS Journal. 290(9). 2320–2337. 8 indexed citations
4.
Lorenz, Charlotta, et al.. (2020). Post-translational modifications soften vimentin intermediate filaments. Nanoscale. 13(1). 380–387. 27 indexed citations
5.
McDowell, Melanie A., Francesco Fiorentino, Shahid Mehmood, et al.. (2020). Structural Basis of Tail-Anchored Membrane Protein Biogenesis by the GET Insertase Complex. Molecular Cell. 80(1). 72–86.e7. 73 indexed citations
6.
Tokar, Sergiy, Kirsten Unthan‐Fechner, Markus Kilisch, et al.. (2020). 14-3-3 binding creates a memory of kinase action by stabilizing the modified state of phospholamban. Science Signaling. 13(647). 25 indexed citations
7.
Ulrich, Kathrin, Blanche Schwappach, & Ursula Jakob. (2020). Thiol-based switching mechanisms of stress-sensing chaperones. Biological Chemistry. 402(3). 239–252. 15 indexed citations
8.
Schwappach, Blanche, et al.. (2019). The natural history of Get3‐like chaperones. Traffic. 20(5). 311–324. 16 indexed citations
9.
Borgese, Nica, et al.. (2019). The Ways of Tails: the GET Pathway and more. The Protein Journal. 38(3). 289–305. 52 indexed citations
10.
Arakel, Eric Clement & Blanche Schwappach. (2018). Formation of COPI-coated vesicles at a glance. Journal of Cell Science. 131(5). 87 indexed citations
11.
Weill, Uri, Eric Clement Arakel, Matan Golan, et al.. (2018). Toolbox: Creating a systematic database of secretory pathway proteins uncovers new cargo for COPI. Traffic. 19(5). 370–379. 13 indexed citations
12.
Crissman, Jonathan, Eric Clement Arakel, Natalia Gómez‐Navarro, et al.. (2017). Two novel effectors of trafficking and maturation of the yeast plasma membrane H+ATPase. Traffic. 18(10). 672–682. 11 indexed citations
13.
Favaloro, Vincenzo, et al.. (2008). Distinct targeting pathways for the membrane insertion of tail-anchored (TA) proteins. Journal of Cell Science. 121(11). 1832–1840. 111 indexed citations
14.
Váradi, Anikó, Tamara Nicolson, Marco Magistri, et al.. (2006). Intracellular ATP-sensitive K+ channels in mouse pancreatic beta cells: against a role in organelle cation homeostasis. Diabetologia. 49(7). 1567–1577. 35 indexed citations
15.
Yuan, Hebao, et al.. (2006). Scavenging of 14-3-3 proteins reveals their involvement in the cell-surface transport of ATP-sensitive K+ channels. Journal of Cell Science. 119(20). 4353–4363. 44 indexed citations
16.
Jüschke, Christoph, et al.. (2005). SEC18 /NSF-independent, protein-sorting pathway from the yeast cortical ER to the plasma membrane. The Journal of Cell Biology. 169(4). 613–622. 53 indexed citations
17.
Neagoe, Ioana & Blanche Schwappach. (2005). Pas de deux in groups of four—the biogenesis of K channels. Journal of Molecular and Cellular Cardiology. 38(6). 887–894. 18 indexed citations
18.
Metz, Jutta, et al.. (2005). The Yeast Arr4p ATPase Binds the Chloride Transporter Gef1p When Copper Is Available in the Cytosol. Journal of Biological Chemistry. 281(1). 410–417. 39 indexed citations
19.
Schwappach, Blanche. (2000). Molecular basis for K(ATP) assembly: transmembrane interactions mediate association of a K+ channel with an ABC transporter.. Neuron. 5 indexed citations
20.
Zerangue, Noa, Blanche Schwappach, Yuh Nung Jan, & Lily Yeh Jan. (1999). A New ER Trafficking Signal Regulates the Subunit Stoichiometry of Plasma Membrane KATP Channels. Neuron. 22(3). 537–548. 874 indexed citations breakdown →

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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