Kay Padget

885 citations
17 papers · 734 · h-index 15

Impact in

  • Toxicology top 2%
    • Bioactive Compounds and Antitumor Agents
    • Cancer therapeutics and mechanisms
    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry
    • Histone Deacetylase Inhibitors Research

Papers in

    • Cancer therapeutics and mechanisms 13
    • Histone Deacetylase Inhibitors Research 3
    • DNA Repair Mechanisms 3
    • Polyomavirus and related diseases 4
    • Neutropenia and Cancer Infections 4

Kay Padget

16 papers receiving 727 citations

Peers

Kay Padget
Comparison fields: 5 of 71
  • Toxicology 89
  • Molecular Biology 643
  • Oncology 248
  • Molecular Medicine 26
  • Organic Chemistry 113
Replace Kuei-Li Lin with:
Kuei-Li Lin Taiwan
Chan Mug Ahn South Korea
Ekaterina A. Lesovaya Russia
Joseph F. Pizzolato United States
W. A. Dengler Germany
Patrick Corsino United States
Li-Sheng Zheng China
Mithu Banerjee India
T Yokokura Japan
Fraidoon Kavoosi Iran
Kay Padget relative to Kuei-Li Lin Taiwan Kuei-Li Lin's profile →
Citations per field
00.5×4.4×
Kuei-Li Lin · 1×
Citations per year

Countries citing papers authored by Kay Padget

Since Specialization
Citations

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

Fields of papers citing papers by Kay Padget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1998130
2 2012130
3 200175
4 201255
5 200052
6 200752
7 201344
8 201537
9 200030
10 200026
11 202123
12 201822
13 201121
14 200020
15 201116
16 20231
17 20250

About Kay Padget

Kay Padget is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Public Health, Environmental and Occupational Health and Hematology, having authored 17 papers that have together received 734 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (13 papers), Polyomavirus and related diseases (4 papers), Neutropenia and Cancer Infections (4 papers), Histone Deacetylase Inhibitors Research (3 papers), DNA Repair Mechanisms (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Synthesis and Biological Evaluation (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Toxicology (89 citations), Molecular Biology (643 citations), Oncology (248 citations), Molecular Medicine (26 citations) and Organic Chemistry (113 citations). Kay Padget has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Caroline A. Austin, Ian G. Cowell, Michael J. Tilby, Elaine Willmore, Adrian Frank, Zbysław Sońdka, Graham Jackson, Bryan M. Turner, Colin A. Johnson and Catriona Manville. Their work appears in journals such as Nucleus, Biochemical Pharmacology, Biology Open, Journal of Leukocyte Biology and Cells.

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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