Matthew J. Williams

35 total papers · 961 total citations
10 papers, 633 citations indexed

About

Matthew J. Williams is a scholar working on Molecular Biology, Surgery and Nephrology. According to data from OpenAlex, Matthew J. Williams has authored 10 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Nephrology. Recurrent topics in Matthew J. Williams's work include Tissue Engineering and Regenerative Medicine (3 papers), Parathyroid Disorders and Treatments (3 papers) and Renal and related cancers (2 papers). Matthew J. Williams is often cited by papers focused on Tissue Engineering and Regenerative Medicine (3 papers), Parathyroid Disorders and Treatments (3 papers) and Renal and related cancers (2 papers). Matthew J. Williams collaborates with scholars based in United States and United Kingdom. Matthew J. Williams's co-authors include Gary W. Ellison, Naohiro Terada, Takashi Hamazaki, Christopher Batich, Edward A. Ross, William L. Clapp, Christopher A. Adin, Alicia Brown, Thomas Shupe and Bryon E. Petersen and has published in prestigious journals such as Brain Research, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Matthew J. Williams

9 papers receiving 622 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew J. Williams 491 371 233 134 51 10 633
Adele Hill 130 0.3× 139 0.4× 177 0.8× 83 0.6× 12 0.2× 9 712
Imran Memon 407 0.8× 262 0.7× 178 0.8× 119 0.9× 4 0.1× 14 610
Hongyan Tao 224 0.5× 122 0.3× 381 1.6× 119 0.9× 29 0.6× 14 693
Anjani Ravindra 554 1.1× 385 1.0× 125 0.5× 233 1.7× 6 0.1× 7 793
Murat Uğurlucan 255 0.5× 125 0.3× 248 1.1× 89 0.7× 9 0.2× 12 622
Daniëlle G. Leuning 187 0.4× 59 0.2× 369 1.6× 123 0.9× 79 1.5× 11 557
Giuseppe Malpasso 224 0.5× 106 0.3× 360 1.5× 57 0.4× 13 0.3× 11 721
Cierra J. Walker 118 0.2× 84 0.2× 243 1.0× 175 1.3× 27 0.5× 19 743
Maria Chiara Ciuffreda 232 0.5× 106 0.3× 335 1.4× 64 0.5× 12 0.2× 17 723
Eunyi Jeon 160 0.3× 142 0.4× 289 1.2× 188 1.4× 19 0.4× 12 751

Countries citing papers authored by Matthew J. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Williams

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

All Works

Loading papers...

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