Donna Rill
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Neurology top 5%
- Neuroblastoma Research and Treatments
Papers in
- Genetics 12
- Virus-based gene therapy research 12
- Immunology 10
- Immunotherapy and Immune Responses 7
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 2
- Co-authors
- Malcolm K. Brenner (18 shared papers)Michael P. Brown (6 shared papers)Zhuyong Mei (6 shared papers)Laura C. Bowman (4 shared papers)Raphaël F. Rousseau (5 shared papers)Wanyun Zhong (4 shared papers)Michael E. Grossmann (4 shared papers)Patricia Yotnda (4 shared papers)
- Journals
- Blood (6 papers)Journal of Immunotherapy (2 papers)Human Gene Therapy (2 papers)Annals of the New York Academy of Sciences (2 papers)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Donna Rill
22 papers receiving 813 citations
Peers
Comparison fields: 5 of 47
- Immunology 349
- Neurology 240
- Oncology 391
- Genetics 272
- Hematology 77
Countries citing papers authored by Donna Rill
This map shows the geographic impact of Donna Rill'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 Donna Rill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna Rill more than expected).
Fields of papers citing papers by Donna Rill
This network shows the impact of papers produced by Donna Rill. 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 Donna Rill. The network helps show where Donna Rill may publish in the future.
Co-authors
The 25 scholars most cited alongside Donna Rill, 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 | 2003 | 98 | |
| 2 | 1998 | 94 | |
| 3 | 1998 | 86 | |
| 4 | 1998 | 68 | |
| 5 | 2001 | 51 | |
| 6 | 2001 | 49 | |
| 7 | 1997 | 44 | |
| 8 | 1997 | 43 | |
| 9 | 2007 | 42 | |
| 10 | 1994 | 37 | |
| 11 | 2001 | 35 | |
| 12 | 2001 | 31 | |
| 13 | 2008 | 27 | |
| 14 | 2011 | 26 | |
| 15 | 1993 | 24 | |
| 16 | 2003 | 23 | |
| 17 | 2002 | 22 | |
| 18 | 2003 | 16 | |
| 19 | 1994 | 16 | |
| 20 | 1996 | 5 |
About Donna Rill
Donna Rill is a scholar working on Genetics, Immunology, Oncology, Neurology and Molecular Biology, having authored 22 papers that have together received 843 indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (7 papers), Neuroblastoma Research and Treatments (7 papers), Immune Cell Function and Interaction (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), T-cell and B-cell Immunology (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Immunology (349 citations), Neurology (240 citations), Oncology (391 citations), Genetics (272 citations) and Hematology (77 citations). Donna Rill has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Malcolm K. Brenner, Michael P. Brown, Zhuyong Mei, Laura C. Bowman, Raphaël F. Rousseau, Wanyun Zhong, Michael E. Grossmann, Patricia Yotnda, Thasia Leimig and Jesse Jenkins. Their work appears in journals such as Blood, Journal of Immunotherapy, Human Gene Therapy, Annals of the New York Academy of Sciences and Journal of Cellular Biochemistry.
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.