Peter Charlton

5.7k citations
74 papers · 4.5k indexed · h-index 34

Impact in

  • Oncology top 1%
    • Drug Transport and Resistance Mechanisms
    • Cancer-related Molecular Pathways
    • PARP inhibition in cancer therapy
  • Toxicology top 1%

Papers in

    • Bioactive Compounds and Antitumor Agents 7
    • Blood Coagulation and Thrombosis Mechanisms 11

Peter Charlton

73 papers receiving 4.4k citations

Peers

Peter Charlton
Comparison fields: 5 of 106
  • Oncology 2.1k
  • Toxicology 198
  • Cancer Research 628
  • Molecular Biology 2.7k
  • Hematology 277
Replace Dong‐Hua Yang with:
Dong‐Hua Yang United States
Hermann Lage Germany
Shigeru Tsukagoshi Japan
Tomoko Oh‐hara Japan
Liwu Fu China
William T. Beck United States
Ahmad R. Safa United States
Janet A. Houghton United States
Ram Ganapathi United States
Bridget T. Hill United Kingdom
Peter Charlton relative to Dong‐Hua Yang United States Dong‐Hua Yang's profile →
Citations per field
00.5×1.5×2.1×
Dong‐Hua Yang · 1×
Citations per year

Countries citing papers authored by Peter Charlton

Since Specialization
Citations

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

Fields of papers citing papers by Peter Charlton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015112
2 201458
3 201316
4 2012191
5 2012278
6 2011476
7 2009203
8 200814
9 200515
10 200425
11 20036
12 200232
13 200152
14 20007
15 200030
16 200035
17 199917
18 199843
19 199637
20 198526

About Peter Charlton

Peter Charlton is a scholar working on Toxicology, Hematology, Cancer Research, Oncology and Molecular Biology, having authored 74 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (23 papers), DNA Repair Mechanisms (13 papers), Protease and Inhibitor Mechanisms (13 papers), Blood Coagulation and Thrombosis Mechanisms (11 papers), Drug Transport and Resistance Mechanisms (10 papers), Bioactive Compounds and Antitumor Agents (7 papers), Cancer-related Molecular Pathways (6 papers) and Cell death mechanisms and regulation (6 papers). The work is most often cited by research in Oncology (2.1k citations), Toxicology (198 citations), Cancer Research (628 citations), Molecular Biology (2.7k citations) and Hematology (277 citations). Peter Charlton has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Prakash Mistry, John R. Pollard, Philip M. Reaper, Richard Callaghan, Catherine Martin, G. Berridge, Julian M.C. Golec, Wendy Dangerfield, Alistair Stewart and Jean‐Damien Charrier. Their work appears in journals such as Anti-Cancer Drugs, Bioorganic & Medicinal Chemistry Letters, British Journal of Cancer, The Journal of Antibiotics and Journal of Medicinal Chemistry.

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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2026