E. Seitz
Impact in
- Structural Biology top 10%
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Quantum Chromodynamics and Particle Interactions 3
- Nuclear physics research studies 3
- Particle physics theoretical and experimental studies 1
-
- Protein Structure and Dynamics 2
- Co-authors
- Joachim Frank (4 shared papers)Suvrajit Maji (2 shared papers)F.J. Acosta-Reyes (2 shared papers)Anthony T. Bogetti (1 shared paper)Fiona L. Kearns (1 shared paper)Jory A. Goldsmith (1 shared paper)Lorenzo Casalino (1 shared paper)Surl-Hee Ahn (1 shared paper)
- Journals
- Nuclear Physics B (3 papers)Physics Letters B (2 papers)Nature Chemistry (1 paper)IEEE Transactions on Computational Imaging (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
E. Seitz
10 papers receiving 384 citations
E. Seitz's Hit Papers
Peers
Comparison fields: 5 of 57
- Structural Biology 24
- Infectious Diseases 164
- Nuclear and High Energy Physics 82
- Molecular Biology 162
- Computational Theory and Mathematics 34
Countries citing papers authored by E. Seitz
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A glycan gate controls opening of the SARS-CoV-2 spike protein Hit paper breakdown → | 2021 | 265 |
| 2 | 1975 | 37 | |
| 3 | 1978 | 29 | |
| 4 | 1978 | 15 | |
| 5 | 2024 | 13 | |
| 6 | 2022 | 12 | |
| 7 | 2020 | 8 | |
| 8 | 1983 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 1985 | 2 |
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 388 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), Enzyme Structure and Function (1 paper), Particle physics theoretical and experimental studies (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Structural Biology (24 citations), Infectious Diseases (164 citations), Nuclear and High Energy Physics (82 citations), Molecular Biology (162 citations) and Computational Theory and Mathematics (34 citations). E. Seitz has collaborated with scholars based in United States and Germany. Frequent co-authors include Joachim Frank, Suvrajit Maji, F.J. Acosta-Reyes, Anthony T. Bogetti, Fiona L. Kearns, Jory A. Goldsmith, Lorenzo Casalino, Surl-Hee Ahn, A. Ourmazd and Ryan S. McCool. Their work appears in journals such as Nuclear Physics B, Physics Letters B, Nature Chemistry, IEEE Transactions on Computational Imaging 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.