David Williams

8.0k total citations
155 papers, 5.9k citations indexed

About

David Williams is a scholar working on Surgery, Molecular Biology and Orthodontics. According to data from OpenAlex, David Williams has authored 155 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 21 papers in Molecular Biology and 19 papers in Orthodontics. Recurrent topics in David Williams's work include Dental materials and restorations (19 papers), Orthopaedic implants and arthroplasty (14 papers) and Dental Implant Techniques and Outcomes (13 papers). David Williams is often cited by papers focused on Dental materials and restorations (19 papers), Orthopaedic implants and arthroplasty (14 papers) and Dental Implant Techniques and Outcomes (13 papers). David Williams collaborates with scholars based in United Kingdom, United States and Australia. David Williams's co-authors include Rachel Williams, Maaz Khan, John A. Hunt, G. Meachim, A. McNamara, Patrick Doherty, S. A. M. Ali, R. Smith, William F. Mieler and Sheng Zhong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

David Williams

148 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Williams United Kingdom 42 1.8k 1.6k 1.4k 1.0k 753 155 5.9k
David F. Williams United States 39 2.1k 1.2× 3.7k 2.3× 2.5k 1.8× 961 0.9× 808 1.1× 112 7.6k
Michelle L. Oyen United Kingdom 47 1.5k 0.8× 3.7k 2.3× 1.8k 1.3× 907 0.9× 621 0.8× 166 8.4k
Neil Rushton United Kingdom 53 4.3k 2.5× 2.6k 1.6× 1.0k 0.7× 782 0.7× 754 1.0× 189 8.1k
Erich Wintermantel Germany 36 1.5k 0.8× 2.4k 1.5× 2.1k 1.5× 691 0.7× 245 0.3× 137 5.4k
C. Mauli Agrawal United States 45 2.8k 1.6× 3.9k 2.4× 2.6k 1.8× 1.2k 1.1× 600 0.8× 127 8.5k
George A. Thouas Australia 26 1.0k 0.6× 2.2k 1.4× 1.5k 1.1× 1.3k 1.2× 736 1.0× 48 4.9k
Wilson Wang Singapore 40 949 0.5× 1.7k 1.0× 916 0.6× 546 0.5× 862 1.1× 110 5.0k
Pierre Hardouin France 41 2.0k 1.1× 3.7k 2.3× 858 0.6× 567 0.5× 919 1.2× 137 6.2k
Maria Helena Fernandes Portugal 49 1.4k 0.8× 3.6k 2.3× 1.6k 1.1× 1.1k 1.1× 1.4k 1.9× 309 8.0k
Achim Göpferich Germany 40 1.0k 0.6× 2.7k 1.7× 3.5k 2.4× 597 0.6× 1.9k 2.6× 104 8.0k

Countries citing papers authored by David Williams

Since Specialization
Citations

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

Fields of papers citing papers by David Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Williams

This figure shows the co-authorship network connecting the top 25 collaborators of David Williams. A scholar is included among the top collaborators of David Williams 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 David Williams. David Williams 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.
Saunders, M.I., A. David Weaver, Rebecca Stretch, et al.. (2024). Outbreak of Ralstonia pickettii associated with contamination of saline products distributed internationally, the United Kingdom, 2024. Eurosurveillance. 29(27). 2 indexed citations
2.
Hall, James P. J., David Williams, Steve Paterson, Ellie Harrison, & Michael A. Brockhurst. (2017). Positive selection inhibits gene mobilization and transfer in soil bacterial communities. Nature Ecology & Evolution. 1(9). 1348–1353. 48 indexed citations
3.
Moore, Matthew, Iain L. Lamont, Diana Bilton, et al.. (2017). Pseudomonas aeruginosaadaptation and diversification in the non-cystic fibrosis bronchiectasis lung. European Respiratory Journal. 49(4). 1602108–1602108. 68 indexed citations
4.
Davies, Emily V., Chloë E. James, David Williams, et al.. (2016). Temperate phages both mediate and drive adaptive evolution in pathogen biofilms. Proceedings of the National Academy of Sciences. 113(29). 8266–8271. 83 indexed citations
5.
Williams, David, Benjamin A. Evans, Sam Haldenby, et al.. (2015). Divergent, Coexisting Pseudomonas aeruginosa Lineages in Chronic Cystic Fibrosis Lung Infections. American Journal of Respiratory and Critical Care Medicine. 191(7). 775–785. 90 indexed citations
6.
Williams, David. (2014). The science and applications of biomaterials. International Journal of Materials and Product Technology. 3 indexed citations
7.
Mao, Fenglou, David Williams, Olga Zhaxybayeva, et al.. (2012). Quartet decomposition server: a platform for analyzing phylogenetic trees. BMC Bioinformatics. 13(1). 123–123. 6 indexed citations
8.
Andam, Cheryl P., David Williams, & J. Peter Gogarten. (2010). Biased gene transfer mimics patterns created through shared ancestry. Proceedings of the National Academy of Sciences. 107(23). 10679–10684. 37 indexed citations
9.
Williams, David. (2002). Reassessing bioactive surfaces.. PubMed. 13(5). 8–9.
10.
Michanetzis, G, et al.. (2002). Influence of test protocol in determining the blood response to model polymers. Journal of Materials Science Materials in Medicine. 13(8). 757–765. 11 indexed citations
11.
Williams, David. (2001). The golden anniversary of titanium biomaterials.. PubMed. 12(7). 8–11. 15 indexed citations
12.
Khan, Maaz, Rachel Williams, & David Williams. (1999). The corrosion behaviour of Ti–6Al–4V, Ti–6Al–7Nb and Ti–13Nb–13Zr in protein solutions. Biomaterials. 20(7). 631–637. 390 indexed citations
13.
Werkmeister, Jerome A., Glenn A. Edwards, John White, et al.. (1999). In vivo evaluation of modified mandrel-grown vascular prostheses. Journal of Biomedical Materials Research. 47(3). 316–323. 7 indexed citations
14.
Khan, Maaz, Rachel Williams, & David Williams. (1996). In-vitro corrosion and wear of titanium alloys in the biological environment. Biomaterials. 17(22). 2117–2126. 282 indexed citations
15.
Rhodes, Nicholas P. & David Williams. (1994). Plasma recalcification as a measure of contact phase activation and heparinization efficacy after contact with biomaterials. Biomaterials. 15(1). 35–37. 40 indexed citations
16.
Krishnan, V. Kalliyana, L.H. Mair, & David Williams. (1993). Synolite as a base resin for dental composites and related biomaterials. Clinical Materials. 12(3). 149–152. 3 indexed citations
17.
Hunt, John A., et al.. (1993). Quantitative in vivo assessment of the tissue response to dermal sheep collagen in abdominal wall defects. Biomaterials. 14(5). 378–382. 12 indexed citations
18.
Vince, D. Geoffrey, John A. Hunt, & David Williams. (1991). Quantitative assessment of the tissue response to implanted biomaterials. Biomaterials. 12(8). 731–736. 60 indexed citations
19.
Williams, Rachel & David Williams. (1988). Albumin adsorption on metal surfaces. Biomaterials. 9(3). 206–212. 116 indexed citations
20.
Smith, R., David Williams, & Clive L. Oliver. (1987). The biodegradation of poly(ether urethanes). Journal of Biomedical Materials Research. 21(9). 1149–1165. 90 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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