Jan-Gero Schloetel

937 total citations
11 papers, 597 citations indexed

About

Jan-Gero Schloetel is a scholar working on Molecular Biology, Structural Biology and Epidemiology. According to data from OpenAlex, Jan-Gero Schloetel has authored 11 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Structural Biology and 2 papers in Epidemiology. Recurrent topics in Jan-Gero Schloetel's work include Lipid Membrane Structure and Behavior (4 papers), Protein Structure and Dynamics (2 papers) and RNA Interference and Gene Delivery (2 papers). Jan-Gero Schloetel is often cited by papers focused on Lipid Membrane Structure and Behavior (4 papers), Protein Structure and Dynamics (2 papers) and RNA Interference and Gene Delivery (2 papers). Jan-Gero Schloetel collaborates with scholars based in Germany, France and United Kingdom. Jan-Gero Schloetel's co-authors include Thorsten Lang, Jörn Heine, Davide Gambarotto, Susanne Borgers, Maeva Le Guennec, Edward S. Boyden, Paul Guichard, Markéta Schmidt Černohorská, Matthias Reuß and Markus Sauer and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Immunity.

In The Last Decade

Jan-Gero Schloetel

9 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan-Gero Schloetel Germany 9 276 149 144 125 79 11 597
Eileen Sun United States 12 383 1.4× 100 0.7× 59 0.4× 101 0.8× 37 0.5× 13 717
Schuyler B. van Engelenburg United States 12 394 1.4× 275 1.8× 179 1.2× 62 0.5× 153 1.9× 17 852
Stéphane Oddos United Kingdom 9 516 1.9× 130 0.9× 171 1.2× 467 3.7× 25 0.3× 13 1.2k
Markéta Schmidt Černohorská Czechia 11 396 1.4× 152 1.0× 193 1.3× 29 0.2× 84 1.1× 13 642
Nilah Monnier United States 11 527 1.9× 154 1.0× 258 1.8× 50 0.4× 23 0.3× 16 822
Serge Dmitrieff France 14 523 1.9× 105 0.7× 441 3.1× 49 0.4× 40 0.5× 23 859
Franziska Fricke Germany 9 338 1.2× 352 2.4× 50 0.3× 103 0.8× 175 2.2× 11 670
Luke A. Helgeson United States 10 291 1.1× 73 0.5× 382 2.7× 71 0.6× 15 0.2× 13 729
Jason Otterstrom United States 10 266 1.0× 94 0.6× 81 0.6× 75 0.6× 22 0.3× 12 525
Ramesh Hariharan United States 7 519 1.9× 52 0.3× 395 2.7× 56 0.4× 12 0.2× 14 821

Countries citing papers authored by Jan-Gero Schloetel

Since Specialization
Citations

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

Fields of papers citing papers by Jan-Gero Schloetel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan-Gero Schloetel. 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 Jan-Gero Schloetel. The network helps show where Jan-Gero Schloetel may publish in the future.

Co-authorship network of co-authors of Jan-Gero Schloetel

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

All Works

11 of 11 papers shown
1.
Schloetel, Jan-Gero, et al.. (2024). Direct observation of subunit rotation during DNA strand exchange by serine recombinases. Nature Communications. 15(1). 10407–10407.
2.
Schloetel, Jan-Gero, et al.. (2021). See You at the Molecular Scale. Microscopy Today. 29(4). 34–41.
3.
Schloetel, Jan-Gero, Jörn Heine, Alan F. Cowman, & Michał Pasternak. (2019). Guided STED nanoscopy enables super-resolution imaging of blood stage malaria parasites. Scientific Reports. 9(1). 4674–4674. 22 indexed citations
4.
Gambarotto, Davide, Fabian U. Zwettler, Maeva Le Guennec, et al.. (2018). Imaging cellular ultrastructures using expansion microscopy (U-ExM). Nature Methods. 16(1). 71–74. 309 indexed citations
5.
Schmidt, Thomas, et al.. (2018). Packing Density of the Amyloid Precursor Protein in the Cell Membrane. Biophysical Journal. 114(5). 1128–1141. 11 indexed citations
6.
7.
Schmidt, Thomas, et al.. (2016). Concentration Dependent Ion-Protein Interaction Patterns Underlying Protein Oligomerization Behaviours. Scientific Reports. 6(1). 24131–24131. 34 indexed citations
8.
Schloetel, Jan-Gero, et al.. (2015). No Evidence for Spontaneous Lipid Transfer at ER–PM Membrane Contact Sites. The Journal of Membrane Biology. 249(1-2). 41–56. 11 indexed citations
9.
Zehner, Matthias, Andrea L. J. Marschall, Erik Bos, et al.. (2015). The Translocon Protein Sec61 Mediates Antigen Transport from Endosomes in the Cytosol for Cross-Presentation to CD8+ T Cells. Immunity. 42(5). 850–863. 133 indexed citations
10.
Homsi, Yahya, Jan-Gero Schloetel, Konstanze D. Scheffer, et al.. (2014). The Extracellular δ-Domain is Essential for the Formation of CD81 Tetraspanin Webs. Biophysical Journal. 107(1). 100–113. 40 indexed citations
11.
Dong, Wenlong, et al.. (2011). Zinc-finger recombinase activities in vitro. Nucleic Acids Research. 39(21). 9316–9328. 18 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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