E. Seitz

10 papers receiving 363 citations

Hit Papers

A glycan gate controls opening of the SARS-CoV-2 spike protein 2021 · 251 citations
2510+1+3Years since publication50100150200250

Peers

E. Seitz
Comparison fields: 5 of 56
  • Structural Biology 22
  • Infectious Diseases 163
  • Nuclear and High Energy Physics 76
  • Molecular Biology 163
  • Computational Theory and Mathematics 34
Replace Justin R. Porter with:
Justin R. Porter United States
Hin Hark Gan United States
Scott A. Robson United States
V. A. Meshcheryakov Russia
Manman Lu United States
Ramya Rangan United States
Ghoncheh Mashayekhi United States
Naima G. Sharaf United States
S. Tōyama Japan
Juha Vahokoski Norway
E. Seitz relative to Justin R. Porter United States Justin R. Porter's profile →
Citations per field
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Justin R. Porter · 1×
Citations per year

Countries citing papers authored by E. Seitz

Since Specialization
Citations

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

Fields of papers citing papers by E. Seitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Seitz, 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 E. Seitz Line = papers co-authored together E. Seitz links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
A glycan gate controls opening of the SARS-CoV-2 spike protein
Hit paper breakdown →
2021251
2 197537
3 197827
4 197813
5 202411
6 202211
7 20208
8 20233
9 19833
10 19851

About E. Seitz

E. Seitz is a scholar working on Nuclear and High Energy Physics, Molecular Biology, Atomic and Molecular Physics, and Optics, Radiation and Materials Chemistry, having authored 10 papers that have together received 365 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (3 papers), Nuclear physics research studies (3 papers), X-ray Spectroscopy and Fluorescence Analysis (2 papers), Protein Structure and Dynamics (2 papers), Nuclear Physics and Applications (2 papers), Advanced X-ray Imaging Techniques (1 paper), Physics of Superconductivity and Magnetism (1 paper) and Electron and X-Ray Spectroscopy Techniques (1 paper). The work is most often cited by research in Structural Biology (22 citations), Infectious Diseases (163 citations), Nuclear and High Energy Physics (76 citations), Molecular Biology (163 citations) and Computational Theory and Mathematics (34 citations). E. Seitz has collaborated with scholars based in Germany and United States. Frequent co-authors include Joachim Frank, Suvrajit Maji, F.J. Acosta-Reyes, Surl-Hee Ahn, Rommie E. Amaro, Fiona L. Kearns, Ryan S. McCool, Ghoncheh Mashayekhi, Lillian T. Chong and Terra Sztain. Their work appears in journals such as Nuclear Physics B, Physics Letters B, IEEE Transactions on Computational Imaging, Nature Chemistry and Journal of Chemical Information and Modeling.

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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