Kim Appleton

748 citations
13 papers · 522 indexed · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Epigenetics and DNA Methylation
    • Histone Deacetylase Inhibitors Research
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Genomics and Chromatin Dynamics

Papers in

Kim Appleton

13 papers receiving 516 citations

Peers

Kim Appleton
Comparison fields: 5 of 67
  • Cancer Research 102
  • Molecular Biology 401
  • Reproductive Medicine 47
  • Microbiology 23
  • Oncology 89
Replace Xiaobin Wang with:
Xiaobin Wang China
Justin D. Arnold United States
Andrew McLellan United States
G Nagy Hungary
Noor Azmi Mat Adenan Malaysia
N. Ari Wijetunga United States
Eng Hseon Tay Singapore
Yuli Qian China
Barbara Pertl Austria
Ting Fang China
Kim Appleton relative to Xiaobin Wang China Xiaobin Wang's profile →
Citations per field
00.5×7.5×
Xiaobin Wang · 1×
Citations per year

Countries citing papers authored by Kim Appleton

Since Specialization
Citations

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

Fields of papers citing papers by Kim Appleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2007191
2 2001170
3 201484
4 199527
5 201811
6 201910
7 201810
8 20118
9 20214
10 20043
11 20042
12
Pharmacodynamic effects in patients treated with 6 hour infusion of the demethylating agent 5-aza-2 ' deoxycytidine (decitabine)
20051
13 20231

About Kim Appleton

Kim Appleton is a scholar working on Cancer Research, Pharmaceutical Science, Cognitive Neuroscience, Clinical Psychology and Speech and Hearing, having authored 13 papers that have together received 522 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Autism Spectrum Disorder Research (5 papers), Family and Disability Support Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Down syndrome and intellectual disability research (3 papers), Chemical Reactions and Isotopes (2 papers), Cancer-related gene regulation (2 papers) and Coccidia and coccidiosis research (1 paper). The work is most often cited by research in Cancer Research (102 citations), Molecular Biology (401 citations), Reproductive Medicine (47 citations), Microbiology (23 citations) and Oncology (89 citations). Kim Appleton has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Robert Brown, Gordon Strathdee, James Paul, Jean Sargent, David Millan, Andreas G. Schätzlein, Jane A. Plumb, Chris Twelves, Dalal Jadayel and A Setanoians. Their work appears in journals such as Journal of Clinical Oncology, Journal of Applied Research in Intellectual Disabilities, British Journal of Cancer, Journal of Intellectual Disability Research and Microbiology.

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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