Thomas Walz
- Structural Biology top 0.05%
- Advanced Electron Microscopy Techniques and Applications 17
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research 18
- Molecular Biology top 0.1%
- Lipid Membrane Structure and Behavior 34
- RNA and protein synthesis mechanisms 25
- Ion Transport and Channel Regulation 21
- ATP Synthase and ATPases Research 16
- Cell Biology top 0.1%
- Cellular transport and secretion 20
- Immunology top 0.5%
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- Monoclonal and Polyclonal Antibodies Research 19
- Co-authors
- Yifan ChengTimothy A. SpringerBenjamin M. PetreHilal A. LashuelPeter T. LansburyYoshinori FujiyoshiTamir GonenPeter Agre
- Journals
- Proceedings of the National Academy of Sciences (28 papers)Journal of Molecular Biology (23 papers)Cell (16 papers)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Thomas Walz
265 papers receiving 27.7k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Structural Biology 1.2k
- Immunology and Allergy 1.6k
- Molecular Biology 17.5k
- Cell Biology 3.8k
- Immunology 3.5k
Countries citing papers authored by Thomas Walz
This map shows the geographic impact of Thomas Walz'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 Walz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Walz more than expected).
Fields of papers citing papers by Thomas Walz
This network shows the impact of papers produced by Thomas Walz. 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 Walz. The network helps show where Thomas Walz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Walz, 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 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 28 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 34 | |
| 7 | 2020 | 57 | |
| 8 | 2020 | 62 | |
| 9 | 2020 | 5 | |
| 10 | 2019 | 31 | |
| 11 | 2017 | 47 | |
| 12 | 2017 | 119 | |
| 13 | 2015 | 36 | |
| 14 | 2010 | 59 | |
| 15 | A Virulence Locus of Pseudomonas aeruginosa Encodes a Protein Secretion Apparatusbreakdown → | 2006 | 865 |
| 16 | 2006 | 1 | |
| 17 | 2004 | 205 | |
| 18 | Gene expression profiling detects gene amplification and differentiates tumor types in breast cancer. | 2003 | 83 |
| 19 | Suramin inhibits growth of human osteosarcoma xenografts in nude mice. | 1991 | 29 |
| 20 | 1986 | 35 |
About Thomas Walz
Thomas Walz is a scholar working on Structural Biology, Immunology and Allergy, Molecular Biology, Cell Biology and Hematology, having authored 271 papers that have together received 28.0k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (34 papers), RNA and protein synthesis mechanisms (25 papers), Ion Transport and Channel Regulation (21 papers), Cellular transport and secretion (20 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Cell Adhesion Molecules Research (18 papers), Advanced Electron Microscopy Techniques and Applications (17 papers) and ATP Synthase and ATPases Research (16 papers). The work is most often cited by research in Structural Biology (1.2k citations), Immunology and Allergy (1.6k citations), Molecular Biology (17.5k citations), Cell Biology (3.8k citations) and Immunology (3.5k citations). Thomas Walz has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Yifan Cheng, Timothy A. Springer, Benjamin M. Petre, Hilal A. Lashuel, Peter T. Lansbury, Yoshinori Fujiyoshi, Tamir Gonen, Peter Agre, Stephen C. Harrison and Kazuyoshi Murata. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology, Cell, Nature and Molecular Cell.
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.