Jonathan de Courcy
Impact in
-
- Hemophilia Treatment and Research
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- Pain Management and Treatment
Papers in
- Oncology 10
- Bone health and treatments 5
- Cancer Treatment and Pharmacology 4
- Cancer survivorship and care 2
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- Myasthenia Gravis and Thymoma 7
- Co-authors
- M Obradović (1 shared paper)Tim Holbrook (1 shared paper)Hiltrud Liedgens (1 shared paper)James Piercy (2 shared papers)Shrividya Iyer (5 shared papers)Robert Wood (5 shared papers)Debanjali Mitra (5 shared papers)Peter Anderson (1 shared paper)
- Journals
- Value in Health (6 papers)Neurology (3 papers)Journal of the American Society of Nephrology (3 papers)Current Medical Research and Opinion (3 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Jonathan de Courcy
27 papers receiving 259 citations
Peers
Comparison fields: 5 of 57
- Hematology 30
- Anesthesiology and Pain Medicine 11
- Neurology 27
- Oncology 45
- Physiology 30
Countries citing papers authored by Jonathan de Courcy
This map shows the geographic impact of Jonathan de Courcy'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 Jonathan de Courcy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan de Courcy more than expected).
Fields of papers citing papers by Jonathan de Courcy
This network shows the impact of papers produced by Jonathan de Courcy. 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 Jonathan de Courcy. The network helps show where Jonathan de Courcy may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan de Courcy, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 73 | |
| 2 | 2016 | 63 | |
| 3 | 2020 | 27 | |
| 4 | 2017 | 26 | |
| 5 | 2017 | 23 | |
| 6 | 2017 | 14 | |
| 7 | 2018 | 7 | |
| 8 | 2015 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2016 | 3 | |
| 11 | 2016 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2016 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Jonathan de Courcy
Jonathan de Courcy is a scholar working on Oncology, Neurology, Nephrology, Immunology and Economics and Econometrics, having authored 33 papers that have together received 266 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (7 papers), Renal Diseases and Glomerulopathies (5 papers), Bone health and treatments (5 papers), Cancer Treatment and Pharmacology (4 papers), Complement system in diseases (4 papers), Economic and Financial Impacts of Cancer (3 papers), Genetic Neurodegenerative Diseases (2 papers) and Cancer survivorship and care (2 papers). The work is most often cited by research in Hematology (30 citations), Anesthesiology and Pain Medicine (11 citations), Neurology (27 citations), Oncology (45 citations) and Physiology (30 citations). Jonathan de Courcy has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include M Obradović, Tim Holbrook, Hiltrud Liedgens, James Piercy, Shrividya Iyer, Robert Wood, Debanjali Mitra, Peter Anderson, Victoria Higgins and Guy Hechmati. Their work appears in journals such as Value in Health, Neurology, Journal of the American Society of Nephrology, Current Medical Research and Opinion and Journal of Clinical Oncology.
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.