Simon Pacey

66 papers receiving 3.9k citations

Hit Papers

Liquid biopsies come of age: towards implementation of circulating tumour DNA 2017 · 1.8k citations
1.8k201720262020202350010001.5k

Peers

Simon Pacey
Comparison fields: 5 of 120
  • Cancer Research 1.7k
  • Oncology 1.3k
  • Pulmonary and Respiratory Medicine 1.1k
  • Molecular Biology 2.2k
  • Pathology and Forensic Medicine 448
Replace Jesse S. Boehm with:
Jesse S. Boehm United States
Jacqui Shaw United Kingdom
Ibiayi Dagogo‐Jack United States
Paul Haluska United States
Hartmut Juhl United States
Katsuya Tsuchihara Japan
Eric A. Collisson United States
Tsutomu Kawaguchi Japan
David S.P. Tan Singapore
Simon Pacey relative to Jesse S. Boehm United States Jesse S. Boehm's profile →
Citations per field
00.5×1.5×2.0×
Jesse S. Boehm · 1×
Citations per year

Countries citing papers authored by Simon Pacey

Since Specialization
Citations

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

Fields of papers citing papers by Simon Pacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Liquid biopsies come of age: towards implementation of circulating tumour DNA
Hit paper breakdown →
20171766
2 2005377
3 2015315
4 2007198
5 2011154
6 2010103
7 200897
8 200992
9 199791
10 201789
11 200576
12 201459
13 202158
14 201051
15 200940
16 201828
17 202023
18 200722
19 200420
20 200619

About Simon Pacey

Simon Pacey is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Biotechnology and Toxicology, having authored 69 papers that have together received 3.9k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (12 papers), Heat shock proteins research (11 papers), Cancer Genomics and Diagnostics (7 papers), Cancer Research and Treatments (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Neuroblastoma Research and Treatments (6 papers), Computational Drug Discovery Methods (6 papers) and Cancer therapeutics and mechanisms (6 papers). The work is most often cited by research in Cancer Research (1.7k citations), Oncology (1.3k citations), Pulmonary and Respiratory Medicine (1.1k citations), Molecular Biology (2.2k citations) and Pathology and Forensic Medicine (448 citations). Simon Pacey has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Javier García-Corbacho, Richard D. Baird, Florent Moulière, Nitzan Rosenfeld, James D. Brenton, Carlos Caldas, Jonathan C. M. Wan, Charles Massie, Chee-Seng Tan and David Gilligan. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Annals of Oncology, Molecular Cancer Therapeutics and Cancer Research.

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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