Peter Stanton

1.9k citations
27 papers · 1.5k indexed · h-index 16

Impact in

Papers in

    • Breast Cancer Treatment Studies 6
    • HER2/EGFR in Cancer Research 12
    • Cancer Cells and Metastasis 2

Peter Stanton

26 papers receiving 1.5k citations

Peers

Peter Stanton
Comparison fields: 5 of 95
  • Cancer Research 464
  • Oncology 672
  • Hepatology 178
  • Radiology, Nuclear Medicine and Imaging 392
  • Pathology and Forensic Medicine 203
Replace Torsten Keßler with:
Torsten Keßler Germany
Norihiro Masuda Japan
Stewart Y. Tung China
G. N. Hortobagyi United States
Tatsuya Yoshida Japan
S Hirohashi Japan
Ewa Sierko Poland
Koei Ikeda Japan
Hiroyoshi Ayabe Japan
To‐Wai Leung China
Peter Stanton relative to Torsten Keßler Germany Torsten Keßler's profile →
Citations per field
00.5×5.6×
Torsten Keßler · 1×
Citations per year

Countries citing papers authored by Peter Stanton

Since Specialization
Citations

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

Fields of papers citing papers by Peter Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200610
2 2005203
3 20043
4 200414
5 2004125
6 200337
7 20029
8 200154
9 2001122
10 2001195
11 199825
12
Quantitative estimation of epidermal growth factor receptor and c-erbB-2 in human breast cancer.
199672
13 199617
14
A radioresistant variant derived from a human neuroblastoma cell line is less prone to radiation-induced apoptosis.
199573
15 199468
16 19943
17 199313
18 199215
19 199130
20 198994

About Peter Stanton

Peter Stanton is a scholar working on Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Internal Medicine, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Breast Cancer Treatment Studies (6 papers), Lung Cancer Treatments and Mutations (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Genetic factors in colorectal cancer (2 papers), Cancer Cells and Metastasis (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (464 citations), Oncology (672 citations), Hepatology (178 citations), Radiology, Nuclear Medicine and Imaging (392 citations) and Pathology and Forensic Medicine (203 citations). Peter Stanton has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Timothy G. Cooke, James J. Going, T Cooke, J. Reeves, Craig Purdam, John M.S. Bartlett, Jonathan R. Reeves, M. Flett, Anna Lanigan and Stephen B. Fox. Their work appears in journals such as European Journal of Cancer, British journal of surgery, British Journal of Cancer, The Journal of Pathology and Gastrointestinal Endoscopy.

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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