Dan Williamson

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 Cancer therapeutics and mechanisms (1 paper). Dan Williamson is often cited by papers focused on Sarcoma Diagnosis and Treatment (2 papers), Chromatin Remodeling and Cancer (2 papers) and Cancer therapeutics and mechanisms (1 paper). Dan Williamson collaborates with scholars based in United Kingdom, France and Switzerland. Dan Williamson's co-authors include Kathy Pritchard‐Jones, Janet Shipley, Jean‐Paul Concordet, Odile Oberlin, Fabien Petel, Mauro Delorenzi, Pratyaksha Wirapati, Gaëlle Pierron, Khin Thway and Julia Chisholm 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

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Williamson United Kingdom	6	205	178	79	78	72	8	393
Riku Sakimura Japan	10	351 1.7×	244 1.4×	54 0.7×	137 1.8×	55 0.8×	10	517
Quan-Sheng Zhu United States	9	234 1.1×	94 0.5×	39 0.5×	148 1.9×	40 0.6×	9	413
Katelynn Bill United States	5	251 1.2×	132 0.7×	142 1.8×	91 1.2×	36 0.5×	5	441
Giulia Orlando Italy	10	322 1.6×	49 0.3×	76 1.0×	121 1.6×	40 0.6×	30	484
John DeLuca United States	6	227 1.1×	101 0.6×	70 0.9×	70 0.9×	23 0.3×	9	365
Susana Lisboa Portugal	12	241 1.2×	41 0.2×	90 1.1×	93 1.2×	110 1.5×	25	433
Tharu M. Fernando United States	9	252 1.2×	111 0.6×	59 0.7×	213 2.7×	71 1.0×	19	449
Laura K. Nolden United States	6	235 1.1×	77 0.4×	47 0.6×	132 1.7×	43 0.6×	7	401
Megan N. Thobe United States	7	265 1.3×	46 0.3×	39 0.5×	154 2.0×	47 0.7×	11	444
Lucia Gullotti Germany	6	417 2.0×	96 0.5×	56 0.7×	85 1.1×	39 0.5×	9	533

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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8 of 8 papers shown

Jiang, Jing‐Jing, Stephanie Ramos, Paul D. Fisher, et al.. (2019). Integration of needle-free jet injection with advanced electroporation delivery enhances the magnitude, kinetics, and persistence of engineered DNA vaccine induced immune responses. Vaccine. 37(29). 3832–3839. 18 indexed citations

Ptasinska, Anetta, Salam A. Assi, Natalia Martinez-Soria, et al.. (2014). Identification of a Dynamic Core Transcriptional Network in t(8;21) AML that Regulates Differentiation Block and Self-Renewal. Cell Reports. 8(6). 1974–1988. 86 indexed citations

Richer, Wilfrid, Carlo Lucchesi, Delphine Lequin, et al.. (2014). Rhabdoid Tumours of Brain, Liver, Kidney and Soft-Parts: Expression Profiles Suggest Common Features but Different Entities.. Cancer Genetics. 207(9). 448–448. 1 indexed citations

Missiaglia, Edoardo, Dan Williamson, Julia Chisholm, et al.. (2012). PAX3/FOXO1 Fusion Gene Status Is the Key Prognostic Molecular Marker in Rhabdomyosarcoma and Significantly Improves Current Risk Stratification. Journal of Clinical Oncology. 30(14). 1670–1677. 230 indexed citations

Missiaglia, Edoardo, Dan Williamson, Julia Chisholm, et al.. (2012). Reply to S. Stegmaier et al. Journal of Clinical Oncology. 30(32). 4040–4041. 2 indexed citations

Anderson, John, Sian Gibson, Dan Williamson, et al.. (2005). Rapid and accurate determination of MYCN copy number and 1p deletion in neuroblastoma by quantitative PCR. Pediatric Blood & Cancer. 46(7). 820–824. 7 indexed citations

Hanks, Sandra, Kim Coleman, Brenda Summersgill, et al.. (2005). Comparative genomic hybridization and BUB1B mutation analyses in childhood cancers associated with mosaic variegated aneuploidy syndrome. Cancer Letters. 239(2). 234–238. 30 indexed citations

Mirvish, Sidney S., et al.. (1991). N-Nitrosoatrazine: synthesis, kinetics of formation, and nuclear magnetic resonance spectra and other properties. Journal of Agricultural and Food Chemistry. 39(7). 1205–1210. 19 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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