Patrick Thompson

24 papers receiving 732 citations

Peers

Patrick Thompson
Comparison fields: 5 of 75
  • Genetics 149
  • Hepatology 70
  • Oncology 179
  • Cancer Research 86
  • Neurology 64
Replace Linda Nicolardi with:
Linda Nicolardi Italy
Lindsay Jones Talbot United States
Timothy Peter Spiro United States
Nidhi Tandon United States
Matsuyoshi Maeda Japan
Kwai Han Yoo South Korea
Sungjun Kim South Korea
Annette Zimpfer Germany
Katja Schindler United States
Jessica Quarna Italy
Patrick Thompson relative to Linda Nicolardi Italy Linda Nicolardi's profile →
Citations per field
00.5×2×4×5.2×
Linda Nicolardi · 1×
Citations per year

Countries citing papers authored by Patrick Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016175
2 201093
3 202077
4 201465
5 200458
6 201542
7 200429
8 201424
9 202020
10 201719
11 202217
12 201417
13 201616
14 200815
15 201415
16 201414
17 200411
18 201711
19 201910
20 20036

About Patrick Thompson

Patrick Thompson is a scholar working on Genetics, Oncology, Hepatology, Hematology and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 745 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Glioma Diagnosis and Treatment (2 papers), PARP inhibition in cancer therapy (2 papers), Statistical Methods in Clinical Trials (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Tuberous Sclerosis Complex Research (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Genetics (149 citations), Hepatology (70 citations), Oncology (179 citations), Cancer Research (86 citations) and Neurology (64 citations). Patrick Thompson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Susan M. Blaney, Xiao-Nan Li, Jack Meng Fen Su, Stacey L. Berg, Milton J. Finegold, Peter C. Adamson, Ching C. Lau, Ching-Nan Ou, Ashish Mark Ingle and Heidi Voelker Russell. Their work appears in journals such as Neuro-Oncology, Cancer Chemotherapy and Pharmacology, Pediatric Blood & Cancer, Clinical Cancer Research and Journal of Pediatric Hematology/Oncology.

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