Kay Padget
Impact in
- Toxicology top 2%
- Bioactive Compounds and Antitumor Agents
- Oncology top 10%
- Lung Cancer Research Studies
- Polyomavirus and related diseases
- Neutropenia and Cancer Infections
Papers in
-
- Cancer therapeutics and mechanisms 13
- DNA Repair Mechanisms 3
- Histone Deacetylase Inhibitors Research 3
- Oncology 9
- Polyomavirus and related diseases 4
- Neutropenia and Cancer Infections 4
- Lung Cancer Research Studies 2
- Co-authors
- Caroline A. Austin (13 shared papers)Ian G. Cowell (7 shared papers)Michael J. Tilby (3 shared papers)Elaine Willmore (2 shared papers)Adrian Frank (1 shared paper)Zbysław Sońdka (4 shared papers)Graham Jackson (3 shared papers)Bryan M. Turner (1 shared paper)
- Journals
- Biochemical Pharmacology (2 papers)Biology Open (2 papers)Nucleus (2 papers)Journal of Leukocyte Biology (1 paper)Experimental Cell Research (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Kay Padget
16 papers receiving 733 citations
Peers
Comparison fields: 5 of 69
- Toxicology 82
- Oncology 240
- Molecular Biology 626
- Molecular Medicine 26
- Hematology 39
Countries citing papers authored by Kay Padget
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 133 | |
| 2 | 1998 | 130 | |
| 3 | 2001 | 75 | |
| 4 | 2012 | 56 | |
| 5 | 2007 | 52 | |
| 6 | 2000 | 52 | |
| 7 | 2013 | 44 | |
| 8 | 2015 | 37 | |
| 9 | 2000 | 30 | |
| 10 | 2000 | 26 | |
| 11 | 2021 | 23 | |
| 12 | 2018 | 23 | |
| 13 | 2011 | 21 | |
| 14 | 2000 | 20 | |
| 15 | 2011 | 16 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 0 |
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 740 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), DNA Repair Mechanisms (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Toxicology (82 citations), Oncology (240 citations), Molecular Biology (626 citations), Molecular Medicine (26 citations) and Hematology (39 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 Biochemical Pharmacology, Biology Open, Nucleus, Journal of Leukocyte Biology and Experimental Cell 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.