Robert Danby
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Hematology 17
- Hematopoietic Stem Cell Transplantation 16
- Immunology 13
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 6
- IL-33, ST2, and ILC Pathways 2
- Co-authors
- Vanderson Rocha (11 shared papers)Katalin Balassa (2 shared papers)J. Alejandro Madrigal (7 shared papers)Aurore Saudemont (3 shared papers)Andy Peniket (13 shared papers)Richard Duggleby (3 shared papers)David J. Roberts (8 shared papers)Patrick Medd (4 shared papers)
- Journals
- Frontiers in Immunology (4 papers)British Journal of Haematology (3 papers)Cytotherapy (3 papers)HLA (2 papers)Bone Marrow Transplantation (2 papers)
- Partner nations
- United KingdomFranceBrazil
In The Last Decade
Robert Danby
30 papers receiving 510 citations
Peers
Comparison fields: 5 of 69
- Hematology 240
- Immunology 186
- Genetics 69
- Transplantation 16
- Oncology 94
Countries citing papers authored by Robert Danby
This map shows the geographic impact of Robert Danby'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 Robert Danby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Danby more than expected).
Fields of papers citing papers by Robert Danby
This network shows the impact of papers produced by Robert Danby. 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 Robert Danby. The network helps show where Robert Danby may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Danby, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 95 | |
| 2 | 2014 | 92 | |
| 3 | 2018 | 60 | |
| 4 | 2016 | 52 | |
| 5 | 2015 | 34 | |
| 6 | 2017 | 29 | |
| 7 | 2020 | 22 | |
| 8 | 2016 | 21 | |
| 9 | 2021 | 18 | |
| 10 | 2018 | 13 | |
| 11 | 2015 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2015 | 10 | |
| 14 | 2018 | 8 | |
| 15 | 2020 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2018 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2010 | 4 | |
| 20 | 2019 | 2 |
About Robert Danby
Robert Danby is a scholar working on Hematology, Immunology, Oncology, Epidemiology and Genetics, having authored 35 papers that have together received 520 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (16 papers), Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (6 papers), Cytomegalovirus and herpesvirus research (6 papers), Polyomavirus and related diseases (3 papers), CAR-T cell therapy research (3 papers), Mesenchymal stem cell research (3 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Hematology (240 citations), Immunology (186 citations), Genetics (69 citations), Transplantation (16 citations) and Oncology (94 citations). Robert Danby has collaborated with scholars based in United Kingdom, France and Brazil. Frequent co-authors include Vanderson Rocha, Katalin Balassa, J. Alejandro Madrigal, Aurore Saudemont, Andy Peniket, Richard Duggleby, David J. Roberts, Patrick Medd, Tim Littlewood and Abigail Lamikanra. Their work appears in journals such as Frontiers in Immunology, British Journal of Haematology, Cytotherapy, HLA and Bone Marrow Transplantation.
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.