Thomas Walz

36.6k total citations · 14 hit papers
271 papers, 28.0k citations indexed

About

Thomas Walz is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Thomas Walz has authored 271 papers receiving a total of 28.0k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Molecular Biology, 36 papers in Cell Biology and 34 papers in Oncology. Recurrent topics in Thomas Walz's work include Lipid Membrane Structure and Behavior (34 papers), RNA and protein synthesis mechanisms (25 papers) and Ion Transport and Channel Regulation (21 papers). Thomas Walz is often cited by papers focused on Lipid Membrane Structure and Behavior (34 papers), RNA and protein synthesis mechanisms (25 papers) and Ion Transport and Channel Regulation (21 papers). Thomas Walz collaborates with scholars based in United States, Switzerland and Sweden. Thomas Walz's 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 and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Thomas Walz

265 papers receiving 27.7k citations

Hit Papers

Structural determinants of water permeation through aquap... 1997 2026 2006 2016 2000 2002 2002 2012 2006 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Walz United States 87 17.5k 3.8k 3.5k 3.1k 2.6k 271 28.0k
Akhilesh Pandey United States 89 20.8k 1.2× 2.8k 0.7× 2.8k 0.8× 2.1k 0.7× 1.8k 0.7× 502 31.6k
Jacques Pouysségur France 113 29.0k 1.7× 4.1k 1.1× 3.7k 1.0× 3.7k 1.2× 2.6k 1.0× 369 42.1k
Frederick R. Maxfield United States 95 17.5k 1.0× 9.6k 2.5× 3.9k 1.1× 5.4k 1.7× 2.0k 0.8× 261 29.3k
Steven A. Carr United States 108 31.7k 1.8× 6.3k 1.6× 3.5k 1.0× 2.2k 0.7× 1.5k 0.6× 372 44.4k
Federico Bussolino Italy 74 9.9k 0.6× 2.1k 0.6× 4.4k 1.2× 2.3k 0.7× 2.1k 0.8× 343 22.1k
William F. DeGrado United States 111 32.1k 1.8× 2.7k 0.7× 1.6k 0.4× 1.4k 0.4× 2.2k 0.8× 538 43.5k
Matthias Wilm Germany 73 26.1k 1.5× 5.4k 1.4× 3.0k 0.8× 1.7k 0.5× 988 0.4× 124 36.5k
Jürgen Cox Germany 60 28.5k 1.6× 5.3k 1.4× 3.6k 1.0× 2.2k 0.7× 1.2k 0.5× 93 39.7k
Michael H. Gelb United States 92 19.8k 1.1× 4.0k 1.0× 2.4k 0.7× 4.7k 1.5× 949 0.4× 524 32.3k
Tomas Kirchhausen United States 92 16.2k 0.9× 12.2k 3.2× 3.5k 1.0× 2.1k 0.7× 1.7k 0.7× 215 25.4k

Countries citing papers authored by Thomas Walz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Thomas Walz

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

All Works

20 of 20 papers shown
1.
Wang, Jialing, et al.. (2024). An αIIbβ3 monoclonal antibody traps a semiextended conformation and allosterically inhibits large ligand binding. Blood Advances. 8(16). 4398–4409. 1 indexed citations
2.
Tan, Kemin, Junjian Chen, Yu Kaku, et al.. (2023). Inadequate structural constraint on Fab approach rather than paratope elicitation limits HIV-1 MPER vaccine utility. Nature Communications. 14(1). 7218–7218. 2 indexed citations
4.
Cox, Charles D., Yixiao Zhang, Zijing Zhou, Thomas Walz, & Boris Martinac. (2021). Cyclodextrins increase membrane tension and are universal activators of mechanosensitive channels. Proceedings of the National Academy of Sciences. 118(36). 28 indexed citations
5.
Ismat, Fouzia, Mazhar Iqbal, Abdul Haque, et al.. (2021). Characterization of the multidrug efflux transporter styMdtM from Salmonella enterica serovar Typhi. Proteins Structure Function and Bioinformatics. 89(9). 1193–1204. 2 indexed citations
6.
Leicher, Rachel, Eva J. Ge, Xingcheng Lin, et al.. (2020). Single-molecule and in silico dissection of the interaction between Polycomb repressive complex 2 and chromatin. Proceedings of the National Academy of Sciences. 117(48). 30465–30475. 34 indexed citations
8.
Epshtein, Vitaly, Kelly H. Kim, Sergey Proshkin, et al.. (2020). Pre-termination Transcription Complex: Structure and Function. Molecular Cell. 81(2). 281–292.e8. 62 indexed citations
9.
Mickolajczyk, Keith J., Paul Dominic B. Olinares, Yiming Niu, et al.. (2020). Long-range intramolecular allostery and regulation in the dynein-like AAA protein Mdn1. Proceedings of the National Academy of Sciences. 117(31). 18459–18469. 5 indexed citations
10.
Bush, Martin, Shuo Qian, Christopher B. Stanley, et al.. (2019). An ensemble of flexible conformations underlies mechanotransduction by the cadherin–catenin adhesion complex. Proceedings of the National Academy of Sciences. 116(43). 21545–21555. 31 indexed citations
11.
Lees, Joshua A., Yixiao Zhang, Michael S. Oh, et al.. (2017). Architecture of the human PI4KIIIα lipid kinase complex. Proceedings of the National Academy of Sciences. 114(52). 13720–13725. 47 indexed citations
12.
Chen, Baoyu, Chad A. Brautigam, Wenmin Xing, et al.. (2017). Rac1 GTPase activates the WAVE regulatory complex through two distinct binding sites. eLife. 6. 119 indexed citations
13.
Kimbung, Siker, Ida Johansson, Anna Danielsson, et al.. (2015). Transcriptional Profiling of Breast Cancer Metastases Identifies Liver Metastasis–Selective Genes Associated with Adverse Outcome in Luminal A Primary Breast Cancer. Clinical Cancer Research. 22(1). 146–157. 36 indexed citations
14.
Kranzusch, Philip J., Andreas D. Schenk, Amal Rahmeh, et al.. (2010). Assembly of a functional Machupo virus polymerase complex. Proceedings of the National Academy of Sciences. 107(46). 20069–20074. 59 indexed citations
15.
Mougous, Joseph D., M.E. Cuff, Stefan Raunser, et al.. (2006). A Virulence Locus of Pseudomonas aeruginosa Encodes a Protein Secretion Apparatus. Science. 312(5779). 1526–1530. 865 indexed citations breakdown →
16.
Meijers, Rob, et al.. (2006). Structural basis of Dscam isoform specificity. Acta Crystallographica Section A Foundations of Crystallography. 62(a1). s28–s28. 1 indexed citations
17.
Nakagawa, Terunaga, Kensuke Futai, Hilal A. Lashuel, et al.. (2004). Quaternary Structure, Protein Dynamics, and Synaptic Function of SAP97 Controlled by L27 Domain Interactions. Neuron. 44(3). 453–467. 205 indexed citations
18.
Dressman, Marlene, et al.. (2003). Gene expression profiling detects gene amplification and differentiates tumor types in breast cancer.. PubMed. 63(9). 2194–9. 83 indexed citations
19.
Walz, Thomas, Avni Abdiu, Sten Wingren, et al.. (1991). Suramin inhibits growth of human osteosarcoma xenografts in nude mice.. PubMed. 51(13). 3585–9. 29 indexed citations
20.
Walz, Thomas, Dennis C. Harper, & John T. Wilson. (1986). The Aging Developmentally Disabled Person: A Review. The Gerontologist. 26(6). 622–629. 35 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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