T. Murray

832 citations
15 papers · 738 · h-index 6

Impact in

Papers in

T. Murray

15 papers receiving 702 citations

Peers

T. Murray
Comparison fields: 5 of 56
  • Biomaterials 458
  • Pharmaceutical Science 89
  • Drug Discovery 2
  • Molecular Medicine 33
  • Radiology, Nuclear Medicine and Imaging 75
Replace Kamal Yavari with:
Kamal Yavari Iran
Margit Maria Janat-Amsbury United States
Hannsjörg Sinn Germany
David F. Ranney United States
Su‐Jin Cheong South Korea
Takahito Negishi Japan
Seok Min Kwon South Korea
Maria Kissel Germany
Marco Soster Italy
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside T. Murray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Murray Line = papers co-authored together T. Murray links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Phase I clinical and pharmacokinetic study of PK1 [N-(2-hydroxypropyl)methacrylamide copolymer doxorubicin]: first member of a new class of chemotherapeutic agents-drug-polymer conjugates. Cancer Research Campaign Phase I/II Committee.
1999621
2
Poor results with technetium-99m (V) DMS and iodine-131 MIBG in the imaging of medullary thyroid carcinoma.
198631
3 199130
4 199219
5 19908
6 20008
7 19866
8 19906
9 19913
10 19881
11 19941
12 19951
13 20001
14 20031
15 20041

About T. Murray

T. Murray is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Biomaterials, Endocrinology, Diabetes and Metabolism and Oncology, having authored 15 papers that have together received 738 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (9 papers), Pulmonary Hypertension Research and Treatments (1 paper), Nanoparticle-Based Drug Delivery (1 paper), Radiation Dose and Imaging (1 paper), Thyroid Cancer Diagnosis and Treatment (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper). The work is most often cited by research in Biomaterials (458 citations), Pharmaceutical Science (89 citations), Drug Discovery (2 citations), Molecular Medicine (33 citations) and Radiology, Nuclear Medicine and Imaging (75 citations). T. Murray has collaborated with scholars based in United Kingdom. Frequent co-authors include T. E. Hilditch, Enrico Frigerio, Alison H. Thomson, Sally S. Burtles, Daniela Fraier, Stan B. Kaye, Paul Austin Vasey, Rachel A. Morrison, J Cassidy and Chris J. Twelves. Their work appears in journals such as Nuclear Medicine Communications, British Journal of Cancer, Health Physics, Journal of Labelled Compounds and Radiopharmaceuticals and International Journal of Radiation Applications and Instrumentation Part B Nuclear Medicine and Biology.

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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