Danielle Scott
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Hematopoietic Stem Cell Transplantation 1
- Oncology 3
- Cancer Cells and Metastasis 2
- Co-authors
- Edward M. Scolnick (1 shared paper)Thomas M. Dexter (1 shared paper)D Metcalf (1 shared paper)J. M. Garland (1 shared paper)Holly Rose Chinnery (1 shared paper)Adam Thomas Clare (1 shared paper)Eric M. Pearlman (1 shared paper)Paul Gerard McMenamin (1 shared paper)
- Journals
- Blood (1 paper)The Journal of Immunology (1 paper)The Journal of Experimental Medicine (1 paper)British Journal of Cancer (1 paper)Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Danielle Scott
6 papers receiving 750 citations
Danielle Scott's Hit Papers
Peers
Comparison fields: 5 of 70
- Immunology 399
- Hematology 191
- Immunology and Allergy 44
- Oncology 156
- Genetics 55
Countries citing papers authored by Danielle Scott
This map shows the geographic impact of Danielle Scott'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 Danielle Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Scott more than expected).
Fields of papers citing papers by Danielle Scott
This network shows the impact of papers produced by Danielle Scott. 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 Danielle Scott. The network helps show where Danielle Scott may publish in the future.
Co-authors
The 18 scholars most cited alongside Danielle Scott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Growth of factor-dependent hemopoietic precursor cell lines. Hit paper breakdown → | 1980 | 712 |
| 2 | 2008 | 59 | |
| 3 | 1995 | 22 | |
| 4 | 1980 | 15 | |
| 5 | Enhancement of Friend and Rauscher leukemia virus replication in mice by Guaroa virus. | 1968 | 6 |
| 6 | 1992 | 5 |
About Danielle Scott
Danielle Scott is a scholar working on Hematology, Oncology, Immunology, Biochemistry and Genetics, having authored 6 papers that have together received 819 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (2 papers), Immunotherapy and Immune Responses (2 papers), Hematopoietic Stem Cell Transplantation (1 paper), Corneal Surgery and Treatments (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Virus-based gene therapy research (1 paper), Viral Infections and Vectors (1 paper) and Vector-Borne Animal Diseases (1 paper). The work is most often cited by research in Immunology (399 citations), Hematology (191 citations), Immunology and Allergy (44 citations), Oncology (156 citations) and Genetics (55 citations). Danielle Scott has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Edward M. Scolnick, Thomas M. Dexter, D Metcalf, J. M. Garland, Holly Rose Chinnery, Adam Thomas Clare, Eric M. Pearlman, Paul Gerard McMenamin, Ryan Cooper and NG Testa. Their work appears in journals such as Blood, The Journal of Immunology, The Journal of Experimental Medicine, British Journal of Cancer and Immunology.
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.