Don G. Morris
Impact in
Papers in
- Co-authors
- Ronald W. Davis (1 shared paper)Daniel D. Shoemaker (1 shared paper)Deval A. Lashkari (1 shared paper)Chandini M. Thirukkumaran (15 shared papers)Peter A. Forsyth (7 shared papers)Naiping Shen (2 shared papers)Nila A. Shah (2 shared papers)Rob Yang (2 shared papers)
- Journals
- Bone Marrow Transplantation (9 papers)PLoS ONE (5 papers)JNCI Journal of the National Cancer Institute (3 papers)Cancers (3 papers)European Journal of Cancer (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Don G. Morris
84 papers receiving 3.6k citations
Don G. Morris's Hit Papers
Peers
Comparison fields: 5 of 124
- Virology 208
- Oncology 1.0k
- Genetics 938
- Infectious Diseases 565
- Biotechnology 209
Countries citing papers authored by Don G. Morris
This map shows the geographic impact of Don 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 Don 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 Don G. Morris more than expected).
Fields of papers citing papers by Don G. Morris
This network shows the impact of papers produced by Don 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 Don G. Morris. The network helps show where Don G. Morris may publish in the future.
Co-authors
The 25 scholars most cited alongside Don G. Morris, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 452 | |
| 2 | 1996 | 442 | |
| 3 | 2008 | 241 | |
| 4 | 1999 | 217 | |
| 5 | 2001 | 194 | |
| 6 | 2015 | 130 | |
| 7 | 2003 | 111 | |
| 8 | Immune-Related Adverse Events and Survival Among Patients With Metastatic NSCLC Treated With Immune Checkpoint Inhibitors Hit paper breakdown → | 2024 | 106 |
| 9 | 1994 | 97 | |
| 10 | 2012 | 93 | |
| 11 | 2010 | 80 | |
| 12 | 2020 | 70 | |
| 13 | 2019 | 66 | |
| 14 | 2011 | 63 | |
| 15 | 2017 | 62 | |
| 16 | 2018 | 62 | |
| 17 | 2012 | 61 | |
| 18 | 2005 | 56 | |
| 19 | 2015 | 48 | |
| 20 | 2018 | 48 |
About Don G. Morris
Don G. Morris is a scholar working on Oncology, Genetics, Pulmonary and Respiratory Medicine, Hematology and Biotechnology, having authored 86 papers that have together received 3.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (20 papers), Lung Cancer Treatments and Mutations (10 papers), CAR-T cell therapy research (9 papers), Cancer Immunotherapy and Biomarkers (9 papers), Viral gastroenteritis research and epidemiology (7 papers), Hematopoietic Stem Cell Transplantation (7 papers), Cancer Research and Treatments (6 papers) and Lung Cancer Research Studies (5 papers). The work is most often cited by research in Virology (208 citations), Oncology (1.0k citations), Genetics (938 citations), Infectious Diseases (565 citations) and Biotechnology (209 citations). Don G. Morris has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ronald W. Davis, Daniel D. Shoemaker, Deval A. Lashkari, Chandini M. Thirukkumaran, Peter A. Forsyth, Naiping Shen, Nila A. Shah, Rob Yang, Earl A. Hubbell and Michael J. Kozal. Their work appears in journals such as Bone Marrow Transplantation, PLoS ONE, JNCI Journal of the National Cancer Institute, Cancers and European Journal of Cancer.
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.