Wayne Dawson

1.9k total citations
53 papers, 1.2k citations indexed

About

Wayne Dawson is a scholar working on Molecular Biology, Condensed Matter Physics and Mechanics of Materials. According to data from OpenAlex, Wayne Dawson has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Condensed Matter Physics and 8 papers in Mechanics of Materials. Recurrent topics in Wayne Dawson's work include RNA and protein synthesis mechanisms (24 papers), Physics of Superconductivity and Magnetism (13 papers) and RNA Research and Splicing (13 papers). Wayne Dawson is often cited by papers focused on RNA and protein synthesis mechanisms (24 papers), Physics of Superconductivity and Magnetism (13 papers) and RNA Research and Splicing (13 papers). Wayne Dawson collaborates with scholars based in Japan, Poland and United States. Wayne Dawson's co-authors include Janusz M. Bujnicki, Marcin Magnus, M. Boniecki, Grzegorz Łach, Tomasz Sołtysiński, Kristian Rother, Irina Tuszyńska, Katarzyna Jonak, Gota Kawai and C. Boekema and has published in prestigious journals such as Nucleic Acids Research, Physical review. B, Condensed matter and PLoS ONE.

In The Last Decade

Wayne Dawson

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne Dawson Japan 16 817 193 84 83 68 53 1.2k
Jingqian Liu China 10 252 0.3× 174 0.9× 99 1.2× 64 0.8× 25 0.4× 18 605
Mélanie Müller Germany 15 354 0.4× 118 0.6× 205 2.4× 132 1.6× 11 0.2× 32 1.2k
H. Hata Japan 14 386 0.5× 50 0.3× 41 0.5× 103 1.2× 5 0.1× 53 728
Tara Michels-Clark United States 4 478 0.6× 21 0.1× 28 0.3× 256 3.1× 26 0.4× 5 783
Fabian Arnold Switzerland 13 254 0.3× 31 0.2× 24 0.3× 177 2.1× 43 0.6× 26 803
Stephanie Heinrich Switzerland 14 912 1.1× 24 0.1× 8 0.1× 51 0.6× 30 0.4× 25 1.1k
Elena Kondrashkina United States 21 734 0.9× 62 0.3× 28 0.3× 405 4.9× 51 0.8× 39 1.2k
Takehiro Nomura Japan 14 682 0.8× 60 0.3× 33 0.4× 32 0.4× 34 0.5× 62 1.0k
Guillaume Tresset France 20 577 0.7× 29 0.2× 16 0.2× 96 1.2× 256 3.8× 57 1.2k
Torunn Berge Norway 18 636 0.8× 68 0.4× 29 0.3× 58 0.7× 119 1.8× 27 955

Countries citing papers authored by Wayne Dawson

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne Dawson

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne Dawson. A scholar is included among the top collaborators of Wayne Dawson 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 Wayne Dawson. Wayne Dawson 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
2.
Dawson, Wayne, Michał Łaźniewski, & Dariusz Plewczyński. (2020). Free energy-based model of CTCF-mediated chromatin looping in the human genome. Methods. 181-182. 35–51. 2 indexed citations
3.
Łaźniewski, Michał, et al.. (2018). One protein to rule them all: The role of CCCTC-binding factor in shaping human genome in health and disease. Seminars in Cell and Developmental Biology. 90. 114–127. 19 indexed citations
4.
Piątkowski, Paweł, Jagoda Jabłońska, Dorota Niedziałek, et al.. (2017). SupeRNAlign: a new tool for flexible superposition of homologous RNA structures and inference of accurate structure-based sequence alignments. Nucleic Acids Research. 45(16). e150–e150. 8 indexed citations
5.
Magnus, Marcin, M. Boniecki, Wayne Dawson, & Janusz M. Bujnicki. (2016). SimRNAweb: a web server for RNA 3D structure modeling with optional restraints. Nucleic Acids Research. 44(W1). W315–W319. 100 indexed citations
6.
Madan, Bharat, Joanna M. Kasprzak, Irina Tuszyńska, et al.. (2016). Modeling of Protein–RNA Complex Structures Using Computational Docking Methods. Methods in molecular biology. 1414. 353–372. 8 indexed citations
7.
Dawson, Wayne, Maciej Maciejczyk, Elżbieta Jankowska, & Janusz M. Bujnicki. (2016). Coarse-grained modeling of RNA 3D structure. Methods. 103. 138–156. 41 indexed citations
8.
Stefaniak, Filip, Ewa I. Chudyk, Michael J. Bodkin, Wayne Dawson, & Janusz M. Bujnicki. (2015). Modeling of ribonucleic acid–ligand interactions. Wiley Interdisciplinary Reviews Computational Molecular Science. 5(6). 425–439. 12 indexed citations
9.
Dawson, Wayne & Janusz M. Bujnicki. (2015). Computational modeling of RNA 3D structures and interactions. Current Opinion in Structural Biology. 37. 22–28. 41 indexed citations
10.
Boniecki, M., Grzegorz Łach, Wayne Dawson, et al.. (2015). SimRNA: a coarse-grained method for RNA folding simulations and 3D structure prediction. Nucleic Acids Research. 44(7). e63–e63. 282 indexed citations
11.
Tuszyńska, Irina, Marcin Magnus, Katarzyna Jonak, Wayne Dawson, & Janusz M. Bujnicki. (2015). NPDock: a web server for protein–nucleic acid docking. Nucleic Acids Research. 43(W1). W425–W430. 170 indexed citations
12.
Magnus, Marcin, Dorota Matelska, Grzegorz Łach, et al.. (2014). Computational modeling of RNA 3D structures, with the aid of experimental restraints. RNA Biology. 11(5). 522–536. 31 indexed citations
13.
Dawson, Wayne, Kazuya Fujiwara, & Gota Kawai. (2007). Prediction of RNA Pseudoknots Using Heuristic Modeling with Mapping and Sequential Folding. PLoS ONE. 2(9). e905–e905. 52 indexed citations
14.
Dawson, Wayne, et al.. (2006). A method for finding optimal RNA secondary structures using a new entropy model (vsfold). Nucleosides Nucleotides & Nucleic Acids. 25(2). 171–189. 22 indexed citations
15.
Dawson, Wayne, Kazuo Suzuki, & Kenji Yamamoto. (2001). A Physical Origin for Functional Domain Structure in Nucleic Acids as Evidenced by Cross-linking Entropy: II. Journal of Theoretical Biology. 213(3). 387–412. 7 indexed citations
16.
Dawson, Wayne, Kazuo Suzuki, & Kenji Yamamoto. (2001). A Physical Origin for Functional Domain Structure in Nucleic Acids as Evidenced by Cross-linking Entropy: I. Journal of Theoretical Biology. 213(3). 359–386. 4 indexed citations
17.
Dawson, Wayne & Kenji Yamamoto. (1999). Toward Full 3D Structural Investigation of Intron Splicing in Human Cytochrome P450 2D6 pre-mRNA. Proceedings Genome Informatics Workshop/Genome informatics. 10. 336–337. 2 indexed citations
18.
Dawson, Wayne & Kenji Yamamoto. (1999). Mean Free Energy Topology for Nucleotide Sequences of Varying Composition Based on Secondary Structure Calculations. Journal of Theoretical Biology. 201(2). 113–140. 7 indexed citations
19.
Bhavnani, M., M Brozović, Barbara J. Bain, et al.. (1994). Guidelines for investigation of the alpha and beta thalassaemia traits. The Thalassaemia Working Party of the BCSH General Haematology Task Force.. Journal of Clinical Pathology. 47(4). 289–295. 32 indexed citations
20.
Bhavnani, M., M Brozović, Barbara J. Bain, et al.. (1994). Guidelines for the fetal diagnosis of globin gene disorders. Globin Gene Disorder Working Party of the BCSH General Haematology Task Force.. Journal of Clinical Pathology. 47(3). 199–204. 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026