John Casement
Impact in
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- Systemic Lupus Erythematosus Research
- Osteoarthritis Treatment and Mechanisms
Papers in
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- Cancer therapeutics and mechanisms 4
- RNA Interference and Gene Delivery 2
- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 2
- DNA and Nucleic Acid Chemistry 2
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- Salivary Gland Disorders and Functions 6
- Co-authors
- Jessica Tarn (6 shared papers)Ian G. Cowell (4 shared papers)Caroline A. Austin (4 shared papers)Michael A. Gray (1 shared paper)Wan‐Fai Ng (6 shared papers)Vinciane Saint‐Criq (1 shared paper)Benjamin A. Fisher (2 shared papers)Kristen Davies (1 shared paper)
- Journals
- Cells (2 papers)International Journal of Molecular Sciences (2 papers)Arthritis & Rheumatology (2 papers)PLoS ONE (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
John Casement
21 papers receiving 234 citations
Peers
Comparison fields: 5 of 71
- Periodontics 15
- Rheumatology 30
- Physiology 52
- Cancer Research 24
- Molecular Biology 92
Countries citing papers authored by John Casement
This map shows the geographic impact of John Casement'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 John Casement with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Casement more than expected).
Fields of papers citing papers by John Casement
This network shows the impact of papers produced by John Casement. 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 John Casement. The network helps show where John Casement may publish in the future.
Co-authors
The 25 scholars most cited alongside John Casement, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 48 | |
| 2 | 2020 | 35 | |
| 3 | 2017 | 18 | |
| 4 | 2022 | 17 | |
| 5 | 2017 | 16 | |
| 6 | 2018 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2022 | 6 | |
| 15 | 2020 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About John Casement
John Casement is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Health Information Management and Oncology, having authored 24 papers that have together received 236 indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (6 papers), Cancer therapeutics and mechanisms (4 papers), Machine Learning in Healthcare (2 papers), RNA Interference and Gene Delivery (2 papers), Heart Failure Treatment and Management (2 papers), Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Periodontics (15 citations), Rheumatology (30 citations), Physiology (52 citations), Cancer Research (24 citations) and Molecular Biology (92 citations). John Casement has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Jessica Tarn, Ian G. Cowell, Caroline A. Austin, Michael A. Gray, Wan‐Fai Ng, Vinciane Saint‐Criq, Benjamin A. Fisher, Kristen Davies, Douglas Wilson and Daniel Burge. Their work appears in journals such as Cells, International Journal of Molecular Sciences, Arthritis & Rheumatology, PLoS ONE and Nucleic Acids 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.