Donald G. Morris
- Oncology top 5%
- Hematology top 2%
- Molecular Biology
- Cancer Research top 5%
- Immunology
- Co-authors
- Peter ForsythDylan R. EdwardsDouglas A. StewartKevin J. LecoGarnette SutherlandHuong MuzikA ChaudhryStefan Glück
- Topics
- Hematopoietic Stem Cell Transplantation (7 papers)Virus-based gene therapy research (5 papers)Lung Cancer Treatments and Mutations (4 papers)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Donald G. Morris
47 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Oncology 466
- Hematology 426
- Molecular Biology 412
- Cancer Research 340
- Immunology 153
Countries citing papers authored by Donald G. Morris
This map shows the geographic impact of Donald G. Morris'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 Donald G. Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald G. Morris more than expected).
Fields of papers citing papers by Donald G. Morris
This network shows the impact of papers produced by Donald G. Morris. 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 Donald G. Morris. The network helps show where Donald G. Morris may publish in the future.
Co-authorship network of co-authors of Donald G. Morris
This figure shows the co-authorship network connecting the top 25 collaborators of Donald G. Morris. A scholar is included among the top collaborators of Donald G. Morris 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 Donald G. Morris. Donald G. Morris 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 | 2 | |
| 3 | 31 | |
| 4 | 6 | |
| 5 | 61 | |
| 6 | 21 | |
| 7 | Pharmacogenetic profiling in azathioprine treatment: TPMT, ITPA, and MTHFR polymorphisms and toxicity | 1 |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 220 | |
| 11 | 55 | |
| 12 | Reovirus induces apoptosis in breast and prostate cell lines and activates Nf-kappaB in the nucleus Implications for a prognostic factor in successful reovirus therapy | 2 |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 26 | |
| 16 | 16 | |
| 17 | 43 | |
| 18 | 4 | |
| 19 | 17 | |
| 20 | Characterization of acoustic emission from thermally-cycled lithium hydride | 1 |
About Donald G. Morris
Donald G. Morris is a scholar working on Transplantation, Hematology and Oncology, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Virus-based gene therapy research (5 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Hematology (426 citations), Transplantation (63 citations) and Cancer Research (340 citations). Donald G. Morris has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Peter Forsyth, Dylan R. Edwards, Douglas A. Stewart, Kevin J. Leco, Garnette Sutherland, Huong Muzik, A Chaudhry, Stefan Glück, Diana Quinlan and Penny Brasher. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and Blood.
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.