Simon P. Heaton

2.0k citations
17 papers · 1.1k · h-index 11

Impact in

    • Microtubule and mitosis dynamics
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

    • PI3K/AKT/mTOR signaling in cancer 7
    • Biochemical and Molecular Research 2
    • Cancer-related Molecular Pathways 2

Simon P. Heaton

17 papers receiving 1.1k citations

Peers

Simon P. Heaton
Comparison fields: 5 of 103
  • Cell Biology 258
  • Oncology 336
  • Molecular Biology 667
  • Cancer Research 110
  • Genetics 70
Replace Michael Cuddy with:
Michael Cuddy United States
Evon Poon United Kingdom
Aidan G. Gilmartin United States
Maureen R. Bleam United States
Timothy J. Guzi United States
Arturo Galvani Italy
Alessia Montagnoli Italy
Carolyn Sidor United States
Yan Degenhardt United States
Christian Haslinger Austria
Simon P. Heaton relative to Michael Cuddy United States Michael Cuddy's profile →
Citations per field
00.5×4.1×
Michael Cuddy · 1×
Citations per year

Countries citing papers authored by Simon P. Heaton

Since Specialization
Citations

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

Fields of papers citing papers by Simon P. Heaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2011439
2 2007281
3 201292
4 201062
5 201051
6 200651
7 200850
8 200832
9 201224
10 201516
11 201116
12 20119
13
AZD1152: A highly potent and specific aurora kinase inhibitor.
20066
14 20124
15 20103
16 20091
17 20061

About Simon P. Heaton

Simon P. Heaton is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Pathology and Forensic Medicine, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Microtubule and mitosis dynamics (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer Mechanisms and Therapy (2 papers), Neuroblastoma Research and Treatments (2 papers), Cancer-related Molecular Pathways (2 papers), Biochemical and Molecular Research (2 papers) and Synthesis and Catalytic Reactions (1 paper). The work is most often cited by research in Cell Biology (258 citations), Oncology (336 citations), Molecular Biology (667 citations), Cancer Research (110 citations) and Genetics (70 citations). Simon P. Heaton has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Michelle D. Garrett, Robert W. Wilkinson, Rajesh Odedra, Timothy A. Yap, Richard D. Baird, Johann S. de Bono, Kyriakos P. Papadopoulos, Len Tiu Wright, Ivy Fearen and Liliana Delgado. Their work appears in journals such as Journal of Clinical Oncology, Molecular Cancer Therapeutics, Cancer Research, Molecular Oncology and Clinical 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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