Marc Siggel

1.5k citations
16 papers · 905 · 1 hit paper · h-index 13

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 4
    • Protein Structure and Dynamics 3
    • RNA Research and Splicing 2
    • Cellular transport and secretion 3
    • Endoplasmic Reticulum Stress and Disease 2

Marc Siggel

16 papers receiving 896 citations

Marc Siggel's Hit Papers

AI-based structure prediction empowers integrative structural analysis of human nuclear pores 2022 · 211 citations
2110+1+2Years since publication50100150200

Peers

Marc Siggel
Comparison fields: 5 of 106
  • Structural Biology 71
  • Cell Biology 209
  • Molecular Biology 589
  • Biophysics 40
  • Surfaces, Coatings and Films 25
Replace Carmen L. Badilla with:
Carmen L. Badilla United States
James M. Parkhurst United Kingdom
C. Keith Cassidy United Kingdom
Agnieszka Obarska-Kosińska Germany
María Josefa Rodríguez Spain
Pierre‐Damien Coureux France
Lorena Redondo‐Morata France
Rubén Sánchez-García Spain
Markus Gerstel United Kingdom
Jeffrey K. Noel United States
Marc Siggel relative to Carmen L. Badilla United States Carmen L. Badilla's profile →
Citations per field
00.5×5.8×
Carmen L. Badilla · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Marc Siggel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc Siggel Line = papers co-authored together Marc Siggel links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
AI-based structure prediction empowers integrative structural analysis of human nuclear pores
Hit paper breakdown →
2022211
2 2020169
3 2019142
4 2018108
5 202373
6 202142
7 202334
8 202129
9 202324
10 202415
11 202215
12 201914
13 202012
14 20179
15 20245
16 20243

About Marc Siggel

Marc Siggel is a scholar working on Molecular Biology, Cell Biology, Structural Biology, Surfaces, Coatings and Films and Biomedical Engineering, having authored 16 papers that have together received 905 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (4 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Cellular transport and secretion (3 papers), Protein Structure and Dynamics (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Structural Biology (71 citations), Cell Biology (209 citations), Molecular Biology (589 citations), Biophysics (40 citations) and Surfaces, Coatings and Films (25 citations). Marc Siggel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Gerhard Hummer, Max Linke, Sören von Bülow, Jan Kosiński, Agnieszka Obarska-Kosińska, Martin Beck, Sergey Ovchinnikov, Xudong Wu, Wei Mi and Vladimir Svetlov. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics, Science, Proceedings of the National Academy of Sciences and The Journal of Physical Chemistry Letters.

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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