Daniel Williamson

4.5k total citations · 1 hit paper
60 papers, 1.9k citations indexed

About

Daniel Williamson is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Daniel Williamson has authored 60 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 13 papers in Genetics and 13 papers in Cancer Research. Recurrent topics in Daniel Williamson's work include Glioma Diagnosis and Treatment (13 papers), Chromatin Remodeling and Cancer (10 papers) and Cancer-related molecular mechanisms research (5 papers). Daniel Williamson is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Chromatin Remodeling and Cancer (10 papers) and Cancer-related molecular mechanisms research (5 papers). Daniel Williamson collaborates with scholars based in United Kingdom, United States and Australia. Daniel Williamson's co-authors include Steven C. Clifford, Simon Bailey, Ed C. Schwalbe, Janet Shipley, Janet C. Lindsey, Kathy Pritchard‐Jones, Stephen Crosier, Samuel M. Cohen, Debbie Hicks and Abhijit Joshi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Genes & Development.

In The Last Decade

Daniel Williamson

58 papers receiving 1.8k citations

Hit Papers

Novel molecular subgroups for clinical classification and... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Williamson United Kingdom 24 1.1k 518 368 249 238 60 1.9k
Paula Schaiquevich Argentina 27 624 0.5× 437 0.8× 183 0.5× 375 1.5× 534 2.2× 100 2.1k
Carmen Sílvia Passos Lima Brazil 25 991 0.9× 316 0.6× 250 0.7× 198 0.8× 513 2.2× 191 2.3k
James Y. Chen United States 22 753 0.7× 329 0.6× 166 0.5× 154 0.6× 378 1.6× 59 2.3k
L. Sutton United States 26 690 0.6× 856 1.7× 151 0.4× 296 1.2× 173 0.7× 45 2.5k
Annemiek Walenkamp Netherlands 34 1.0k 0.9× 652 1.3× 556 1.5× 570 2.3× 1.8k 7.5× 105 3.8k
Myrna Candelaria Mexico 25 1.4k 1.2× 128 0.2× 243 0.7× 272 1.1× 563 2.4× 88 2.5k
Karol Sikora United Kingdom 30 1.2k 1.1× 175 0.3× 258 0.7× 439 1.8× 1.1k 4.7× 146 3.5k
Y. Edward Hsia United States 27 979 0.9× 153 0.3× 434 1.2× 274 1.1× 206 0.9× 68 2.2k
Ellen G. Feigal United States 21 735 0.6× 181 0.3× 281 0.8× 379 1.5× 1.5k 6.4× 43 2.8k
Katherine E. Warren United States 33 892 0.8× 1.7k 3.2× 364 1.0× 395 1.6× 513 2.2× 116 3.0k

Countries citing papers authored by Daniel Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Williamson. A scholar is included among the top collaborators of Daniel 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 Daniel Williamson. Daniel Williamson 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
2.
Williamson, Daniel, Ed C. Schwalbe, Simon Bailey, & Steven C. Clifford. (2023). Timing is everything: A connection between medulloblastoma prognosis and foetal cerebellar development. Neuropathology and Applied Neurobiology. 49(3). e12903–e12903. 2 indexed citations
3.
Williamson, Daniel, et al.. (2022). Acute-Onset Footdrop Caused by Intraneural Ganglion Cyst of the Common Peroneal Nerve: The Effects of Extraneural Pressure Gradients on Cyst Propagation. Journal of the American Podiatric Medical Association. 112(2). 1 indexed citations
4.
Talbot, Julie, Marion Le Grand, Marie-Pierre Montero, et al.. (2022). Beta-blockers disrupt mitochondrial bioenergetics and increase radiotherapy efficacy independently of beta-adrenergic receptors in medulloblastoma. EBioMedicine. 82. 104149–104149. 11 indexed citations
6.
Crosier, Stephen, Debbie Hicks, Ed C. Schwalbe, et al.. (2021). Advanced molecular pathology for rare tumours: A national feasibility study and model for centralised medulloblastoma diagnostics. Neuropathology and Applied Neurobiology. 47(6). 736–747. 8 indexed citations
7.
Hanna, Rita, Jérôme Durivault, Fanny Burel‐Vandenbos, et al.. (2020). VEGFC negatively regulates the growth and aggressiveness of medulloblastoma cells. Communications Biology. 3(1). 579–579. 12 indexed citations
8.
Ramaswamy, Vijay, Marcel Kool, Brigitta Stockinger, et al.. (2020). The AHR pathway represses TGFβ-SMAD3 signalling and has a potent tumour suppressive role in SHH medulloblastoma. Scientific Reports. 10(1). 148–148. 20 indexed citations
10.
Katzenellenbogen, Judith, Daniela Bond‐Smith, Rebecca Seth, et al.. (2019). <p>The End Rheumatic Heart Disease in Australia Study of Epidemiology (ERASE) Project: data sources, case ascertainment and cohort profile</p>. Clinical Epidemiology. Volume 11. 997–1010. 32 indexed citations
11.
Bond‐Smith, Daniela, Karen Dempsey, Jeffrey Cannon, et al.. (2019). The End Rheumatic Heart Disease in Australia Study of Epidemiology (ERASE) Project: data sources, case ascertainment and cohort profile. SHILAP Revista de lepidopterología.
12.
Meiklejohn, Judith, Ross Bailie, Jon Adams, et al.. (2018). “I’m a Survivor”. Cancer Nursing. 43(2). 105–114. 8 indexed citations
13.
Meiklejohn, Judith, Gail Garvey, Ross Bailie, et al.. (2017). Follow-up cancer care: perspectives of Aboriginal and Torres Strait Islander cancer survivors. Supportive Care in Cancer. 25(5). 1597–1605. 24 indexed citations
14.
Gill, Simrandip K., Debbie Hicks, Ed C. Schwalbe, et al.. (2016). MB-84IDENTIFICATION OF MEDULLOBLASTOMA MOLECULAR SUBGROUPS USING METABOLITE PROFILES. Neuro-Oncology. 18(suppl 3). iii116.2–iii116. 1 indexed citations
15.
Williamson, Daniel, Janet C. Lindsey, Debbie Hicks, et al.. (2016). MB-82THE TRANSCRIPTIONAL LANDSCAPE OF MEDULLOBLASTOMA: GROUP 3 AND GROUP 4 TUMOURS COMPRISE A SINGLE CLINICALLY SIGNIFICANT EXPRESSION CONTINUUM. Neuro-Oncology. 18(suppl 3). iii115.4–iii116. 1 indexed citations
16.
Schwalbe, Ed C., Daniel Williamson, Janet C. Lindsey, et al.. (2013). DNA methylation profiling of medulloblastoma allows robust subclassification and improved outcome prediction using formalin-fixed biopsies. Acta Neuropathologica. 125(3). 359–371. 103 indexed citations
17.
Łastowska, Maria, Hani Al-Afghani, Haya H. Al‐Balool, et al.. (2013). Identification of a neuronal transcription factor network involved inmedulloblastoma development. Acta Neuropathologica Communications. 1(1). 35–35. 34 indexed citations
18.
Domaschenz, Renae, Daniel Williamson, Edoardo Missiaglia, et al.. (2012). HES6 enhances the motility of alveolar rhabdomyosarcoma cells. Experimental Cell Research. 319(1). 103–112. 7 indexed citations
19.
Williamson, Daniel, Joanna Selfe, Tony Gordon, et al.. (2007). Role for Amplification and Expression of Glypican-5 in Rhabdomyosarcoma. Cancer Research. 67(1). 57–65. 77 indexed citations
20.
Williamson, Daniel, et al.. (2006). The MET receptor tyrosine kinase contributes to invasive tumour growth in rhabdomyosarcomas. Growth Factors. 24(3). 197–208. 31 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026