John Casement
Impact in
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- Systemic Lupus Erythematosus Research
Papers in
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- Cancer therapeutics and mechanisms 4
- Cancer-related gene regulation 3
- Bacterial biofilms and quorum sensing 2
- Epigenetics and DNA Methylation 2
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- Salivary Gland Disorders and Functions 6
- Co-authors
- Jessica Tarn (6 shared papers)Wan‐Fai Ng (6 shared papers)Vinciane Saint‐Criq (1 shared paper)Ian G. Cowell (4 shared papers)Michael A. Gray (1 shared paper)Caroline A. Austin (4 shared papers)Daniel Burge (1 shared paper)Kristen Davies (1 shared paper)
- Journals
- International Journal of Molecular Sciences (2 papers)Arthritis & Rheumatology (2 papers)British Journal of Cancer (1 paper)Human Molecular Genetics (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
John Casement
19 papers receiving 215 citations
Peers
Comparison fields: 5 of 69
- Periodontics 17
- Rheumatology 33
- Cancer Research 29
- Physiology 47
- Oncology 38
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 46 | |
| 2 | 2020 | 31 | |
| 3 | 2017 | 18 | |
| 4 | 2022 | 16 | |
| 5 | 2017 | 16 | |
| 6 | 2022 | 12 | |
| 7 | 2018 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About John Casement
John Casement is a scholar working on Molecular Biology, Physiology, Surgery, Oncology and Rheumatology, having authored 22 papers that have together received 217 indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (6 papers), Cancer therapeutics and mechanisms (4 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), Systemic Lupus Erythematosus Research (3 papers), Cancer-related gene regulation (3 papers), Bacterial biofilms and quorum sensing (2 papers), Epigenetics and DNA Methylation (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Periodontics (17 citations), Rheumatology (33 citations), Cancer Research (29 citations), Physiology (47 citations) and Oncology (38 citations). John Casement has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jessica Tarn, Wan‐Fai Ng, Vinciane Saint‐Criq, Ian G. Cowell, Michael A. Gray, Caroline A. Austin, Daniel Burge, Kristen Davies, Saba Valadkhan and James Posada. Their work appears in journals such as International Journal of Molecular Sciences, Arthritis & Rheumatology, British Journal of Cancer, Human Molecular Genetics and Annals of the Rheumatic Diseases.
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.