Gareth R. Williams

427 total papers · 15.1k total citations
323 papers, 12.3k citations indexed

About

Gareth R. Williams is a scholar working on Biomaterials, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Gareth R. Williams has authored 323 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Biomaterials, 102 papers in Materials Chemistry and 96 papers in Biomedical Engineering. Recurrent topics in Gareth R. Williams's work include Electrospun Nanofibers in Biomedical Applications (115 papers), Layered Double Hydroxides Synthesis and Applications (45 papers) and Advanced Sensor and Energy Harvesting Materials (36 papers). Gareth R. Williams is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (115 papers), Layered Double Hydroxides Synthesis and Applications (45 papers) and Advanced Sensor and Energy Harvesting Materials (36 papers). Gareth R. Williams collaborates with scholars based in United Kingdom, China and United States. Gareth R. Williams's co-authors include Deng‐Guang Yu, Dermot O’Hare, Li‐Min Zhu, Junzi Wu, S. W. Annie Bligh, Jiaojiao Li, Heyu Li, Shiwei Niu, Yaoyao Yang and Xiaozhu Sun and has published in prestigious journals such as Chemical Society Reviews, The Journal of Chemical Physics and The Journal of Experimental Medicine.

In The Last Decade

Gareth R. Williams

315 papers receiving 12.1k citations

Hit Papers

Towards understanding, co... 2006 2026 2012 2019 2006 2022 2025 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gareth R. Williams 5.4k 4.0k 3.6k 1.8k 1.6k 323 12.3k
Jiwei Cui 4.3k 0.8× 4.5k 1.1× 3.4k 1.0× 1.2k 0.6× 2.2k 1.4× 243 12.1k
Abbas Rahdar 3.4k 0.6× 4.4k 1.1× 4.6k 1.3× 1.1k 0.6× 2.6k 1.6× 473 13.2k
Mika Lindén 2.9k 0.5× 2.9k 0.7× 5.8k 1.6× 1.4k 0.8× 1.6k 1.0× 241 10.9k
Zibiao Li 5.7k 1.1× 5.0k 1.3× 3.4k 1.0× 1.5k 0.8× 1.7k 1.1× 321 14.9k
Joseph J. Richardson 4.3k 0.8× 5.5k 1.4× 5.0k 1.4× 1.8k 1.0× 2.1k 1.3× 167 15.1k
Wuli Yang 5.1k 0.9× 6.0k 1.5× 5.7k 1.6× 1.1k 0.6× 3.0k 1.9× 223 14.2k
Junping Zhang 3.3k 0.6× 5.3k 1.3× 3.9k 1.1× 2.6k 1.4× 950 0.6× 350 16.6k
Fangqiong Tang 3.8k 0.7× 4.3k 1.1× 6.7k 1.9× 2.3k 1.3× 2.8k 1.7× 164 12.7k
Jiacong Shen 4.1k 0.8× 3.8k 0.9× 4.6k 1.3× 3.4k 1.9× 2.2k 1.4× 388 15.1k
Changsheng Zhao 4.2k 0.8× 6.7k 1.7× 3.5k 1.0× 2.4k 1.4× 1.2k 0.8× 383 16.1k

Countries citing papers authored by Gareth R. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Gareth R. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gareth R. Williams

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

All Works

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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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