Thomas Söllner

16.9k total citations · 6 hit papers
79 papers, 13.7k citations indexed

About

Thomas Söllner is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas Söllner has authored 79 papers receiving a total of 13.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 62 papers in Cell Biology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas Söllner's work include Cellular transport and secretion (62 papers), Lipid Membrane Structure and Behavior (48 papers) and Endoplasmic Reticulum Stress and Disease (16 papers). Thomas Söllner is often cited by papers focused on Cellular transport and secretion (62 papers), Lipid Membrane Structure and Behavior (48 papers) and Endoplasmic Reticulum Stress and Disease (16 papers). Thomas Söllner collaborates with scholars based in United States, Germany and Switzerland. Thomas Söllner's co-authors include James E. Rothman, Sidney W. Whiteheart, James A. McNew, Francesco Parlati, Paul Tempst, Scott Geromanos, Thomas Weber, Hediye Erdjument‐Bromage, Michael Brunner and Mark K. Bennett and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Thomas Söllner

79 papers receiving 13.5k citations

Hit Papers

SNAP receptors implicated in vesicle targeting and fusion 1993 2026 2004 2015 1993 1998 1993 2000 1994 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Söllner United States 48 11.0k 10.3k 2.2k 1.6k 1.3k 79 13.7k
Peter S. McPherson Canada 66 8.5k 0.8× 6.6k 0.6× 2.5k 1.1× 1.5k 0.9× 847 0.6× 159 12.4k
Kohji Takei Japan 52 8.7k 0.8× 7.5k 0.7× 2.9k 1.3× 2.0k 1.2× 726 0.5× 111 12.6k
Volker Haucke Germany 67 9.2k 0.8× 7.6k 0.7× 2.8k 1.3× 1.7k 1.0× 971 0.7× 230 13.5k
Suzanne R. Pfeffer United States 58 8.2k 0.7× 8.3k 0.8× 784 0.4× 2.5k 1.5× 1.6k 1.2× 143 12.8k
William S. Trimble Canada 61 7.1k 0.6× 5.1k 0.5× 2.3k 1.0× 1.3k 0.8× 431 0.3× 134 10.9k
Thierry Galli France 56 5.6k 0.5× 5.1k 0.5× 1.9k 0.9× 1.3k 0.8× 696 0.5× 146 9.2k
Phyllis I. Hanson United States 56 8.5k 0.8× 5.3k 0.5× 3.5k 1.6× 1.2k 0.7× 705 0.5× 88 12.5k
Takuya Sasaki Japan 51 6.8k 0.6× 5.4k 0.5× 1.1k 0.5× 1.0k 0.6× 424 0.3× 110 9.9k
Peter Novick United States 73 16.8k 1.5× 15.4k 1.5× 1.3k 0.6× 1.7k 1.1× 1.4k 1.1× 142 21.6k
Francis A. Barr United Kingdom 61 8.4k 0.8× 8.4k 0.8× 545 0.2× 996 0.6× 863 0.6× 129 11.8k

Countries citing papers authored by Thomas Söllner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Söllner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Söllner

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Söllner. A scholar is included among the top collaborators of Thomas Söllner 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 Thomas Söllner. Thomas Söllner 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.
Zhang, Wanlu, et al.. (2021). A short perinuclear amphipathic α-helix in Apq12 promotes nuclear pore complex biogenesis. Open Biology. 11(11). 210250–210250. 13 indexed citations
3.
Malsam, Jörg, Thorsten Trimbuch, Andreas F.‐P. Sonnen, et al.. (2020). Complexin Suppresses Spontaneous Exocytosis by Capturing the Membrane-Proximal Regions of VAMP2 and SNAP25. Cell Reports. 32(3). 107926–107926. 28 indexed citations
4.
Sonnen, Andreas F.‐P., et al.. (2020). Arrangements of proteins at reconstituted synaptic vesicle fusion sites depend on membrane separation. FEBS Letters. 594(21). 3450–3463. 9 indexed citations
6.
Brose, Nils, Axel T. Brünger, David S. Cafiso, et al.. (2019). Synaptic vesicle fusion: today and beyond. Nature Structural & Molecular Biology. 26(8). 663–668. 19 indexed citations
7.
Meijer, Marieke, Hanna C. A. Lammertse, Chrysanthi Blithikioti, et al.. (2017). Tyrosine phosphorylation of Munc18‐1 inhibits synaptic transmission by preventing SNARE  assembly. The EMBO Journal. 37(2). 300–320. 27 indexed citations
8.
Weering, Jan R.T. van, Sonia Vazquez‐Sanchez, Tobias Braun, et al.. (2016). Extension of Helix 12 in Munc18-1 Induces Vesicle Priming. Journal of Neuroscience. 36(26). 6881–6891. 37 indexed citations
9.
Moelleken, Jörg, Jörg Malsam, Matthew J. Betts, et al.. (2007). Differential localization of coatomer complex isoforms within the Golgi apparatus. Proceedings of the National Academy of Sciences. 104(11). 4425–4430. 67 indexed citations
10.
Cosson, Pierre, Mariella Ravazzola, Oleg Varlamov, et al.. (2005). Dynamic transport of SNARE proteins in the Golgi apparatus. Proceedings of the National Academy of Sciences. 102(41). 14647–14652. 24 indexed citations
11.
Fukasawa, Masayoshi, Oleg Varlamov, William Eng, Thomas Söllner, & James E. Rothman. (2004). Localization and activity of the SNARE Ykt6 determined by its regulatory domain and palmitoylation. Proceedings of the National Academy of Sciences. 101(14). 4815–4820. 113 indexed citations
12.
Volchuk, Allen, Mariella Ravazzola, Alain Perrelet, et al.. (2004). Countercurrent Distribution of Two Distinct SNARE Complexes Mediating Transport within the Golgi Stack. Molecular Biology of the Cell. 15(4). 1506–1518. 80 indexed citations
13.
Söllner, Thomas. (2002). Vesicle Tethers Promoting Fusion Machinery Assembly. Developmental Cell. 2(4). 377–378. 18 indexed citations
14.
Wimmer, Christian, Tobias M. Hohl, Christine A. Hughes, et al.. (2001). Molecular Mass, Stoichiometry, and Assembly of 20 S Particles. Journal of Biological Chemistry. 276(31). 29091–29097. 34 indexed citations
15.
Volchuk, Allen, M Amherdt, Mariella Ravazzola, et al.. (2000). Megavesicles Implicated in the Rapid Transport of Intracisternal Aggregates across the Golgi Stack. Cell. 102(3). 335–348. 93 indexed citations
16.
Söllner, Thomas & James E. Rothman. (1994). Neurotransmission: harnessing fusion machinery at the synapse. Trends in Neurosciences. 17(8). 344–348. 150 indexed citations
17.
Söllner, Thomas, Sidney W. Whiteheart, Michael Brunner, et al.. (1993). SNAP receptors implicated in vesicle targeting and fusion. Nature. 362(6418). 318–324. 2634 indexed citations breakdown →
18.
Steger, Heinrich, Thomas Söllner, Michael Kiebler, et al.. (1990). Import of ADP/ATP carrier into mitochondria. The Journal of Cell Biology. 4 indexed citations
19.
Pfanner, Nikolaus, et al.. (1990). Energy requirements for unfolding and membrane translocation of precursor proteins during import into mitochondria.. Journal of Biological Chemistry. 265(27). 16324–16329. 55 indexed citations
20.
Schmidt, Cornelia, Thomas Söllner, & Rudolf J. Schweyen. (1987). Nuclear suppression of a mitochondrial RNA splice defect: nucleotide sequence and disruption of the MRS3 gene. Molecular and General Genetics MGG. 210(1). 145–152. 22 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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