Patrick Thompson

963 citations
26 papers · 678 · h-index 15

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • PARP inhibition in cancer therapy 2
    • Glioma Diagnosis and Treatment 2

Patrick Thompson

24 papers receiving 665 citations

Peers

Patrick Thompson
Comparison fields: 5 of 74
  • Genetics 139
  • Hepatology 61
  • Oncology 166
  • Cancer Research 75
  • Neurology 64
Replace Ulrich Stölzel with:
Ulrich Stölzel Germany
H Weinstein United States
Anuhya Kommalapati United States
C. Norman Coleman United States
Joo Han Lim South Korea
Arun Rangaswami United States
Ofelia Cruz Spain
Timothy P. Spiro United States
Jennifer H. Foster United States
Alexis D. Leal United States
Patrick Thompson relative to Ulrich Stölzel Germany Ulrich Stölzel's profile →
Citations per field
00.5×1.5×2.2×
Ulrich Stölzel · 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 2016151
2 201091
3 202071
4 201459
5 200455
6 201542
7 200426
8 201424
9 202018
10 201718
11 201416
12 201615
13 202215
14 200815
15 201414
16 200411
17 201711
18 20199
19 20166
20 20035

About Patrick Thompson

Patrick Thompson is a scholar working on Oncology, Genetics, Hematology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 26 papers that have together received 678 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), PARP inhibition in cancer therapy (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Glioma Diagnosis and Treatment (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Cardiac Imaging and Diagnostics (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Genetics (139 citations), Hepatology (61 citations), Oncology (166 citations), Cancer Research (75 citations) and Neurology (64 citations). Patrick Thompson has collaborated with scholars based in United States, Canada and Malaysia. Frequent co-authors include Susan M. Blaney, Xiao‐Nan Li, Jack M. Su, Stacey L. Berg, Peter C. Adamson, Milton J. Finegold, Ashish M. Ingle, Heidi V. Russell, Ching C. Lau and Ching-Nan Ou. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Pediatric Blood & Cancer, Clinical Cancer Research, Neuro-Oncology and Pediatric Transplantation.

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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