Dan Williamson

18 total papers · 1.6k total citations
8 papers, 393 citations indexed

About

Dan Williamson is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dan Williamson has authored 8 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dan Williamson's work include Sarcoma Diagnosis and Treatment (2 papers), Chromatin Remodeling and Cancer (2 papers) and Lymphoma Diagnosis and Treatment (1 paper). Dan Williamson is often cited by papers focused on Sarcoma Diagnosis and Treatment (2 papers), Chromatin Remodeling and Cancer (2 papers) and Lymphoma Diagnosis and Treatment (1 paper). Dan Williamson collaborates with scholars based in United Kingdom, France and Singapore. Dan Williamson's co-authors include Janet Shipley, Kathy Pritchard‐Jones, Mauro Delorenzi, Odile Oberlin, Pratyaksha Wirapati, Julia Chisholm, Gaëlle Pierron, Fabien Petel, Edoardo Missiaglia and Jean‐Paul Concordet and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Agricultural and Food Chemistry and Cell Reports.

In The Last Decade

Dan Williamson

8 papers receiving 388 citations

Author Peers

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

Author Last Decade Papers Cites
Dan Williamson 205 178 79 79 72 8 393
Danielle C. Shing 261 1.3× 142 0.8× 87 1.1× 39 0.5× 57 0.8× 7 430
Emanuela Roccato 180 0.9× 108 0.6× 135 1.7× 49 0.6× 38 0.5× 8 363
Roman Belousov 180 0.9× 194 1.1× 126 1.6× 63 0.8× 57 0.8× 10 413
Lauren Moran 299 1.5× 177 1.0× 169 2.1× 43 0.5× 42 0.6× 5 423
Quan-Sheng Zhu 233 1.1× 94 0.5× 149 1.9× 39 0.5× 40 0.6× 9 411
Katelynn Bill 251 1.2× 132 0.7× 91 1.2× 142 1.8× 36 0.5× 5 441
Helen Ye 209 1.0× 95 0.5× 73 0.9× 45 0.6× 33 0.5× 7 346
John DeLuca 227 1.1× 101 0.6× 70 0.9× 70 0.9× 24 0.3× 9 366
N S Wolf 158 0.8× 79 0.4× 90 1.1× 29 0.4× 25 0.3× 9 349
Gustavo M. Cervantes 227 1.1× 70 0.4× 136 1.7× 60 0.8× 41 0.6× 11 406

Countries citing papers authored by Dan Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Dan Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Williamson. A scholar is included among the top collaborators of Dan Williamson 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 Dan Williamson. Dan Williamson 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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