Mick Thompson

584 citations
15 papers · 469 · h-index 10

Impact in

Papers in

Mick Thompson

15 papers receiving 461 citations

Peers

Mick Thompson
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 51
  • Endocrinology, Diabetes and Metabolism 123
  • Physiology 132
  • Radiology, Nuclear Medicine and Imaging 99
  • Radiation 35
Replace Takuro Yamada with:
Takuro Yamada Japan
P Weismann Slovakia
M Campiche Switzerland
Leah Quintana United States
Yoichi Inada Japan
Hidemasa Uchimura Japan
Kezhen Huang United States
Lars Hansen Denmark
John Bukowski United States
Syusaku SUZUKI Japan
Mick Thompson relative to Takuro Yamada Japan Takuro Yamada's profile →
Citations per field
00.5×6.6×
Takuro Yamada · 1×
Citations per year

Countries citing papers authored by Mick Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Mick Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mick Thompson, 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 Mick Thompson Line = papers co-authored together Mick Thompson links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1991232
2 201542
3 201536
4 200832
5 201332
6 200625
7 197522
8 200715
9 198413
10 197613
11 20053
12 20171
13 20051
14
Microarray technology as a novel approach to gene discovery in facial eczema resistance of sheep.
20021
15 19971

About Mick Thompson

Mick Thompson is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Surgery, having authored 15 papers that have together received 469 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (3 papers), Immunotherapy and Immune Responses (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Pancreatic function and diabetes (2 papers), Cancer therapeutics and mechanisms (2 papers), Thyroid Disorders and Treatments (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (51 citations), Endocrinology, Diabetes and Metabolism (123 citations), Physiology (132 citations), Radiology, Nuclear Medicine and Imaging (99 citations) and Radiation (35 citations). Mick Thompson has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Jack H. Oppenheimer, Harold L. Schwartz, James T. Lane, Rodney J. Hicks, D H Williamson, Shankar Siva, David Binns, Olga A. Martin, Delphine Denoyer and Pavel Lobachevsky. Their work appears in journals such as Journal of Clinical Oncology, Journal of Nuclear Medicine, Biochemical Journal, Blood and Animal Genetics.

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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