Marc Siggel

1.4k total citations · 1 hit paper
16 papers, 838 citations indexed

About

Marc Siggel is a scholar working on Molecular Biology, Cell Biology and Structural Biology. According to data from OpenAlex, Marc Siggel has authored 16 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Structural Biology. Recurrent topics in Marc Siggel's work include Lipid Membrane Structure and Behavior (4 papers), Protein Structure and Dynamics (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). Marc Siggel is often cited by papers focused on Lipid Membrane Structure and Behavior (4 papers), Protein Structure and Dynamics (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). Marc Siggel collaborates with scholars based in Germany, United States and United Kingdom. Marc Siggel's co-authors include Gerhard Hummer, Max Linke, Sören von Bülow, Jan Kosiński, Agnieszka Obarska-Kosińska, Martin Beck, Sergey Ovchinnikov, Tom A. Rapoport, Maofu Liao and Xudong Wu and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Marc Siggel

16 papers receiving 830 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AI-based structure prediction empowers integrative structural analysis of human nuclear pores

2022 200 citations Shyamal Mosalaganti, Agnieszka Obarska-Kosińska et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc Siggel Germany	12	570	202	111	83	65	16	838
Rafael Fernández-Leiro Spain	17	855 1.5×	90 0.4×	169 1.5×	101 1.2×	151 2.3×	32	1.3k
Pascal Lill Germany	7	675 1.2×	87 0.4×	105 0.9×	58 0.7×	186 2.9×	12	991
Sebastian Tacke Germany	9	624 1.1×	110 0.5×	109 1.0×	49 0.6×	257 4.0×	13	1.1k
Grigory Sharov United Kingdom	8	722 1.3×	159 0.8×	106 1.0×	27 0.3×	261 4.0×	11	1.1k
Bertrand Cinquin France	16	349 0.6×	112 0.6×	40 0.4×	95 1.1×	83 1.3×	27	810
Tsutomu Matsui United States	22	859 1.5×	74 0.4×	121 1.1×	40 0.5×	37 0.6×	76	1.4k
Alexander von Appen Germany	15	1.4k 2.5×	289 1.4×	122 1.1×	45 0.5×	174 2.7×	17	1.7k
Alexander Spaar Germany	16	683 1.2×	303 1.5×	91 0.8×	39 0.5×	24 0.4×	17	925
Markus Stabrin Germany	8	764 1.3×	140 0.7×	105 0.9×	34 0.4×	320 4.9×	10	1.2k
Manuela Zoonens France	21	971 1.7×	72 0.4×	49 0.4×	76 0.9×	62 1.0×	35	1.2k

Countries citing papers authored by Marc Siggel

Since Specialization

Citations

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

Fields of papers citing papers by Marc Siggel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Siggel

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

All Works

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16 of 16 papers shown

Siggel, Marc, Rasmus K. Jensen, Valentin Maurer, Julia Mahamid, & Jan Kosiński. (2024). ColabSeg: An interactive tool for editing, processing, and visualizing membrane segmentations from cryo-ET data. Journal of Structural Biology. 216(2). 108067–108067. 4 indexed citations

Maurer, Valentin, Marc Siggel, & Jan Kosiński. (2024). What shapes template-matching performance in cryogenic electron tomography in situ?. Acta Crystallographica Section D Structural Biology. 80(6). 410–420. 1 indexed citations

Maurer, Valentin, Marc Siggel, & Jan Kosiński. (2024). PyTME (Python Template Matching Engine): A fast, flexible, and multi-purpose template matching library for cryogenic electron microscopy data. SoftwareX. 25. 101636–101636. 11 indexed citations

Yu, Miao, Maziar Heidari, Sofya Mikhaleva, et al.. (2023). Visualizing the disordered nuclear transport machinery in situ. Nature. 617(7959). 162–169. 67 indexed citations

Ferreira, Josie L., Vojtěch Pražák, Daven Vasishtan, et al.. (2023). Variable microtubule architecture in the malaria parasite. Nature Communications. 14(1). 1216–1216. 34 indexed citations

Sitarska, E, Marianne Sandvold Beckwith, Julian Stopp, et al.. (2023). Sensing their plasma membrane curvature allows migrating cells to circumvent obstacles. Nature Communications. 14(1). 5644–5644. 20 indexed citations

Mosalaganti, Shyamal, Agnieszka Obarska-Kosińska, Marc Siggel, et al.. (2022). AI-based structure prediction empowers integrative structural analysis of human nuclear pores. Science. 376(6598). eabm9506–eabm9506. 200 indexed citations breakdown →

Siggel, Marc, et al.. (2022). TriMem: A parallelized hybrid Monte Carlo software for efficient simulations of lipid membranes. The Journal of Chemical Physics. 157(17). 174801–174801. 13 indexed citations

Siggel, Marc, Ramachandra M. Bhaskara, Jacqueline M. Hicks, et al.. (2021). Membrane fusion and drug delivery with carbon nanotube porins. Proceedings of the National Academy of Sciences. 118(19). 38 indexed citations

10.

Siggel, Marc, et al.. (2021). FAM134B-RHD Protein Clustering Drives Spontaneous Budding of Asymmetric Membranes. The Journal of Physical Chemistry Letters. 12(7). 1926–1931. 27 indexed citations

11.

Wu, Xudong, Marc Siggel, Sergey Ovchinnikov, et al.. (2020). Structural basis of ER-associated protein degradation mediated by the Hrd1 ubiquitin ligase complex. Science. 368(6489). 158 indexed citations

12.

Gecht, Michael, Marc Siggel, Max Linke, Gerhard Hummer, & Jürgen Köfinger. (2020). MDBenchmark: A toolkit to optimize the performance of molecular dynamics simulations. The Journal of Chemical Physics. 153(14). 144105–144105. 11 indexed citations

13.

Bülow, Sören von, Marc Siggel, Max Linke, & Gerhard Hummer. (2019). Dynamic cluster formation determines viscosity and diffusion in dense protein solutions. Proceedings of the National Academy of Sciences. 116(20). 9843–9852. 129 indexed citations

14.

Siggel, Marc, Ramachandra M. Bhaskara, & Gerhard Hummer. (2019). Phospholipid Scramblases Remodel the Shape of Asymmetric Membranes. The Journal of Physical Chemistry Letters. 10(20). 6351–6354. 13 indexed citations

15.

Scheurer, Maximilian, Marc Siggel, Rafael C. Bernardi, et al.. (2018). PyContact: Rapid, Customizable, and Visual Analysis of Noncovalent Interactions in MD Simulations. Biophysical Journal. 114(3). 577–583. 103 indexed citations

16.

Cingolani, Alberto, et al.. (2017). Tracking of Fluorescently Labeled Polymer Particles Reveals Surface Effects during Shear-Controlled Aggregation. Langmuir. 33(49). 14038–14044. 9 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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