William K. Murray

3.0k total citations
39 papers, 1.5k citations indexed

About

William K. Murray is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, William K. Murray has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in William K. Murray's work include Cutaneous Melanoma Detection and Management (6 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). William K. Murray is often cited by papers focused on Cutaneous Melanoma Detection and Management (6 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). William K. Murray collaborates with scholars based in Australia, United States and United Kingdom. William K. Murray's co-authors include John W. Kelly, Grant A. McArthur, Wendy Liu, Rory Wolfe, John P. Dowling, John F. Thompson, Cuong Duong, Alexander Dobrovic, Melanie Trivett and Wayne A. Phillips and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

William K. Murray

38 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William K. Murray Australia 19 767 415 293 292 230 39 1.5k
Giovanni Schinzari Italy 27 1.5k 1.9× 501 1.2× 393 1.3× 761 2.6× 325 1.4× 116 2.2k
Scott R. Owens United States 21 641 0.8× 803 1.9× 401 1.4× 248 0.8× 391 1.7× 68 1.9k
M. Gore United Kingdom 29 1.1k 1.4× 816 2.0× 448 1.5× 609 2.1× 245 1.1× 94 2.4k
William J. Maples United States 24 1.5k 1.9× 841 2.0× 160 0.5× 477 1.6× 208 0.9× 50 2.6k
Eoin F. Gaffney Ireland 23 348 0.5× 377 0.9× 530 1.8× 667 2.3× 83 0.4× 81 1.7k
J.H. Goldie Canada 20 480 0.6× 384 0.9× 307 1.0× 206 0.7× 63 0.3× 53 1.4k
Panagiotis Samaras Switzerland 23 655 0.9× 359 0.9× 280 1.0× 312 1.1× 274 1.2× 71 1.9k
Hye Seung Han South Korea 27 683 0.9× 596 1.4× 766 2.6× 734 2.5× 96 0.4× 107 2.3k
Nikolaos V. Michalopoulos Greece 20 346 0.5× 307 0.7× 292 1.0× 176 0.6× 105 0.5× 91 1.1k
Lorraine Pelosof United States 16 694 0.9× 371 0.9× 161 0.5× 299 1.0× 205 0.9× 35 1.8k

Countries citing papers authored by William K. Murray

Since Specialization
Citations

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

Fields of papers citing papers by William K. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William K. Murray. 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 William K. Murray. The network helps show where William K. Murray may publish in the future.

Co-authorship network of co-authors of William K. Murray

This figure shows the co-authorship network connecting the top 25 collaborators of William K. Murray. A scholar is included among the top collaborators of William K. Murray 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 William K. Murray. William K. Murray 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
1.
2.
Kong, Grace, Emma Boehm, Owen W.J. Prall, et al.. (2023). Integrating Functional Imaging and Molecular Profiling for Optimal Treatment Selection in Neuroendocrine Neoplasms (NEN). Current Oncology Reports. 25(5). 465–478.
3.
4.
Hollett, Geoffrey, et al.. (2019). Quantum Ensembles of Silicon Nanoparticles: Discrimination of Static and Dynamic Photoluminescence Quenching Processes. The Journal of Physical Chemistry C. 123(29). 17976–17986. 12 indexed citations
5.
Read, Matthew, David Liu, Cuong Duong, et al.. (2015). Intramuscular Transplantation Improves Engraftment Rates for Esophageal Patient-Derived Tumor Xenografts. Annals of Surgical Oncology. 23(1). 305–311. 16 indexed citations
6.
Pilgrim, Charles, Laveniya Satgunaseelan, Alan Pham, et al.. (2012). Correlations between histopathological diagnosis of chemotherapy-induced hepatic injury, clinical features, and perioperative morbidity. HPB. 14(5). 333–340. 9 indexed citations
7.
Brettingham‐Moore, Kate H., Cuong Duong, Danielle Greenawalt, et al.. (2011). Pretreatment Transcriptional Profiling for Predicting Response to Neoadjuvant Chemoradiotherapy in Rectal Adenocarcinoma. Clinical Cancer Research. 17(9). 3039–3047. 43 indexed citations
8.
Salemi, Renato, William K. Murray, Angela Tan, et al.. (2010). Mutations in KIT occur at low frequency in melanomas arising from anatomical sites associated with chronic and intermittent sun exposure. Pigment Cell & Melanoma Research. 23(2). 210–215. 87 indexed citations
9.
Fleming, Nicholas I., Melanie Trivett, Joshy George, et al.. (2009). Parathyroid Hormone–Related Protein Protects against Mammary Tumor Emergence and Is Associated with Monocyte Infiltration in Ductal Carcinoma In situ. Cancer Research. 69(18). 7473–7479. 29 indexed citations
10.
Westwood, Jennifer A., William K. Murray, Paul J. Neeson, et al.. (2008). Absence of retroviral vector-mediated transformation of gene-modified T cells after long-term engraftment in mice. Gene Therapy. 15(14). 1056–1066. 20 indexed citations
11.
Dreisinger, David, et al.. (2008). THE BOLEO COPPER-COBALT-ZINC-MANGANESE PROJECT. Canadian Metallurgical Quarterly. 47(3). 357–368. 12 indexed citations
12.
Greenawalt, Danielle, Cuong Duong, Gordon K. Smyth, et al.. (2007). Gene expression profiling of esophageal cancer: Comparative analysis of Barrett's esophagus, adenocarcinoma, and squamous cell carcinoma. International Journal of Cancer. 120(9). 1914–1921. 75 indexed citations
13.
Duong, Cuong, Danielle Greenawalt, Adam Kowalczyk, et al.. (2007). Pretreatment Gene Expression Profiles Can Be Used to Predict Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer. Annals of Surgical Oncology. 14(12). 3602–3609. 52 indexed citations
14.
Liu, Wendy, John W. Kelly, Melanie Trivett, et al.. (2006). Distinct Clinical and Pathological Features Are Associated with the BRAFT1799A(V600E) Mutation in Primary Melanoma. Journal of Investigative Dermatology. 127(4). 900–905. 145 indexed citations
15.
Loughrey, Maurice B., Victoria Beshay, Alexander Dobrovic, et al.. (2006). KIT immunohistochemistry and mutation status in gastrointestinal stromal tumours (GISTs) evaluated for treatment with imatinib. Histopathology. 49(1). 52–65. 9 indexed citations
16.
Liu, Wendy, John P. Dowling, William K. Murray, et al.. (2006). Rate of Growth in Melanomas. Archives of Dermatology. 142(12). 1551–8. 257 indexed citations
17.
Liu, Wendy W., William K. Murray, John P. Dowling, et al.. (2005). Distinct clinical and pathological features are associated with the BRAF (T1799A) mutation in primary melanoma. Cancer Research. 65. 235–235. 7 indexed citations
18.
Mitchell, Gillian, William K. Murray, Judy Kirk, et al.. (2005). Nipple aspiration and ductal lavage in women with a germline BRCA1 or BRCA2 mutation. Breast Cancer Research. 7(6). R1122–31. 19 indexed citations
19.
Grigg, Andrew, et al.. (1994). Hyperviscosity syndrome in disseminated breast adenocarcinoma. Pathology. 26(1). 65–68. 3 indexed citations
20.
Lane, James R., et al.. (1990). Audit of serum drug concentration analysis for patients in the surgical intensive care unit. Critical Care Medicine. 18(7). 734–737. 1 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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