T. Murray

1.2k total citations · 1 hit paper
21 papers, 913 citations indexed

About

T. Murray is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, T. Murray has authored 21 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in T. Murray's work include Radiopharmaceutical Chemistry and Applications (6 papers), Medical Imaging Techniques and Applications (4 papers) and Medical Imaging and Pathology Studies (3 papers). T. Murray is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (6 papers), Medical Imaging Techniques and Applications (4 papers) and Medical Imaging and Pathology Studies (3 papers). T. Murray collaborates with scholars based in United Kingdom, United States and Australia. T. Murray's co-authors include T. E. Hilditch, Alison H. Thomson, J Cassidy, S S Burtles, Daniela Fraier, Peter D. Wilson, Stan B. Kaye, Rachel Morrison, Ruth Duncan and Lilian S. Murray and has published in prestigious journals such as Cancer Research, British Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

T. Murray

20 papers receiving 888 citations

Hit Papers

Phase I clinical and pharmacokinetic study of PK1 [N-(2-h... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Murray United Kingdom 10 360 338 209 177 106 21 913
Christian Ché Canada 6 444 1.2× 650 1.9× 213 1.0× 177 1.0× 40 0.4× 11 1.1k
Jean‐Paul Castaigne United States 13 492 1.4× 849 2.5× 230 1.1× 298 1.7× 57 0.5× 28 1.7k
Igor Skidan United States 9 588 1.6× 510 1.5× 293 1.4× 173 1.0× 57 0.5× 10 1.2k
Elijus Undzys Canada 17 438 1.2× 263 0.8× 398 1.9× 206 1.2× 50 0.5× 23 839
Ann‐Marie Chacko United States 18 256 0.7× 299 0.9× 221 1.1× 173 1.0× 44 0.4× 47 1.0k
Rameshwar Patil United States 20 567 1.6× 493 1.5× 433 2.1× 134 0.8× 70 0.7× 35 1.2k
Maggie Kozman United States 6 235 0.7× 420 1.2× 167 0.8× 99 0.6× 28 0.3× 6 775
Jenolyn F. Alexander United States 16 330 0.9× 279 0.8× 370 1.8× 96 0.5× 34 0.3× 22 972
Bin Sheng Wong United States 12 217 0.6× 306 0.9× 415 2.0× 113 0.6× 79 0.7× 13 945
Federica Piccardi Italy 15 278 0.8× 654 1.9× 309 1.5× 220 1.2× 36 0.3× 22 1.5k

Countries citing papers authored by T. Murray

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Murray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Murray more than expected).

Fields of papers citing papers by T. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Murray

This figure shows the co-authorship network connecting the top 25 collaborators of T. Murray. A scholar is included among the top collaborators of T. 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 T. Murray. T. 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.
Quaranta, Valeria, Carolyn Rainer, Sebastian R. Nielsen, et al.. (2018). Macrophage-Derived Granulin Drives Resistance to Immune Checkpoint Inhibition in Metastatic Pancreatic Cancer. Cancer Research. 78(15). 4253–4269. 115 indexed citations
2.
Holben, David H., et al.. (2010). A Multi-Disciplinary Lifestyle Intervention Program Decreases Cardiovascular Disease Risk in Adults after 100 Days of Treatment. Journal of the American Dietetic Association. 110(9). A89–A89. 1 indexed citations
3.
Davidson, Melanie, David D’Souza, James C. Yuen, et al.. (2007). Does Intraoperative Ultrasound Guidance Benefit Routine Intracavitary Cervical Carcinoma Brachytherapy?. International Journal of Radiation Oncology*Biology*Physics. 69(3). S403–S404. 2 indexed citations
4.
Conway, Robert M., et al.. (2005). Retinoblastoma: Animal Models. Ophthalmology Clinics of North America. 18(1). 25–39. 10 indexed citations
5.
McDonagh, J. E. R., et al.. (2004). Thyroid and stomach uptake in 99mTc-MAA lung perfusion scans. Nuclear Medicine Communications. 25(4). 423–424. 1 indexed citations
6.
Murray, T.. (2003). Wait Not, Want Not: Factors Contributing to the Development of Anorexia Nervosa and Bulimia Nervosa. The Family Journal. 11(3). 276–280. 12 indexed citations
7.
Murray, T., et al.. (2000). Technetium-99m-tetrofosmin: retention of nitrogen atmosphere in kit vial as a cause of poor quality material. Nuclear Medicine Communications. 21(9). 845–849. 1 indexed citations
8.
Murray, T., et al.. (2000). 99Tcm-MAG3: Problems with radiochemical purity testing. Nuclear Medicine Communications. 21(1). 71–75. 6 indexed citations
10.
11.
Williams, John A., et al.. (1992). The neurotoxic effects of methamphetamine on 5-hydroxytryptamine and dopamine in brain: Evidence for the protective effect of chlormethiazole. Neuropharmacology. 31(4). 315–321. 68 indexed citations
12.
Owens, Janel E., T. Murray, James McCulloch, & D. Wyper. (1992). Synthesis of (R, R)123I‐QNB, A spect imaging agent for cerebral muscarinic acetylcholine receptors in vivo. Journal of Labelled Compounds and Radiopharmaceuticals. 31(1). 45–60. 16 indexed citations
13.
Willmott, N., T. Murray, Yang Chen, et al.. (1991). Development of radiolabelled albumin microspheres: a comparison of gamma-emitting radioisotopes of iodine (131I) and indium (111In/113mIn). International Journal of Radiation Applications and Instrumentation Part B Nuclear Medicine and Biology. 18(7). 687–694. 2 indexed citations
14.
Murray, T., et al.. (1991). The use of angiotensin II as a potential method of targeting cytotoxic microspheres in patients with intrahepatic tumour. British Journal of Cancer. 63(2). 308–310. 25 indexed citations
15.
Hilditch, T. E., et al.. (1990). Fifteen Years of Radiological Protection Experience in a Regional Radiopharmacy. Health Physics. 59(1). 109–116. 5 indexed citations
16.
Murray, T., et al.. (1990). Investigation of factors affecting ashesion of 99Tcm labelled colloids to glass vials. Nuclear Medicine Communications. 11(5). 375–382. 8 indexed citations
17.
Sanders, Rebecca & T. Murray. (1988). Chronic theophylline exposure increases agonist and antagonist binding to A1 adenosine receptors in rat brain. Neuropharmacology. 27(7). 757–760. 19 indexed citations
18.
Murray, T., et al.. (1988). Automated radiopharmaceutical dispensing. Nuclear Medicine Communications. 9(5). 363–367. 1 indexed citations
19.
Murray, T., et al.. (1986). Poor results with technetium-99m (V) DMS and iodine-131 MIBG in the imaging of medullary thyroid carcinoma.. PubMed. 27(7). 1150–3. 29 indexed citations
20.
Hilditch, T. E., et al.. (1986). Formation of large particles in a 99Tcm-tin colloid preparation. Nuclear Medicine Communications. 7(11). 845–850. 5 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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