Ian D. Clarke
- Oncology top 0.2%
- Molecular Biology top 0.5%
- Genetics top 0.1%
- Cancer Research top 0.2%
- Cell Biology top 1%
- Co-authors
- Peter B. DirksSheila K. SinghJeremy A. SquireCynthia HawkinsTakuichiro HideJane BayaniMichael D. CusimanoR. Mark Henkelman
- Topics
- Glioma Diagnosis and Treatment (9 papers)Cancer Cells and Metastasis (8 papers)Epigenetics and DNA Methylation (6 papers)
- Cited by
- GeneticsOncologyCancer Research
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Ian D. Clarke
33 papers receiving 12.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Oncology 6.9k
- Molecular Biology 6.6k
- Genetics 3.7k
- Cancer Research 3.4k
- Cell Biology 1.0k
Countries citing papers authored by Ian D. Clarke
This map shows the geographic impact of Ian D. Clarke'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 Ian D. Clarke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian D. Clarke more than expected).
Fields of papers citing papers by Ian D. Clarke
This network shows the impact of papers produced by Ian D. Clarke. 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 Ian D. Clarke. The network helps show where Ian D. Clarke may publish in the future.
Co-authorship network of co-authors of Ian D. Clarke
This figure shows the co-authorship network connecting the top 25 collaborators of Ian D. Clarke. A scholar is included among the top collaborators of Ian D. Clarke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian D. Clarke. Ian D. Clarke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 85 | |
| 3 | 63 | |
| 4 | 35 | |
| 5 | 65 | |
| 6 | 68 | |
| 7 | 135 | |
| 8 | 8 | |
| 9 | 64 | |
| 10 | Glioma Stem Cell Lines Expanded in Adherent Culture Have Tumor-Specific Phenotypes and Are Suitable for Chemical and Genetic Screensbreakdown → | 756 |
| 11 | 121 | |
| 12 | 43 | |
| 13 | Cancer stem cells in nervous system tumorsbreakdown → | 528 |
| 14 | Identification of human brain tumour initiating cellsbreakdown → | 5766 |
| 15 | 82 | |
| 16 | Identification of a cancer stem cell in human brain tumors.breakdown → | 3931 |
| 17 | 17 | |
| 18 | 8 | |
| 19 | 26 | |
| 20 | 8 |
About Ian D. Clarke
Ian D. Clarke is a scholar working on Developmental Neuroscience, Genetics and Endocrinology, having authored 33 papers that have together received 12.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Cancer Cells and Metastasis (8 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Genetics (3.7k citations), Oncology (6.9k citations) and Cancer Research (3.4k citations). Ian D. Clarke has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Peter B. Dirks, Sheila K. Singh, Jeremy A. Squire, Cynthia Hawkins, Takuichiro Hide, Jane Bayani, Michael D. Cusimano, R. Mark Henkelman, Mizuhiko Terasaki and Renee Head. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.