Stuart J. Ings
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
- Hematology 20
- Hematopoietic Stem Cell Transplantation 18
- Platelet Disorders and Treatments 4
- Oncology 10
- Neutropenia and Cancer Infections 4
- Co-authors
- David C. Linch (15 shared papers)Michael Watts (13 shared papers)Kwee Yong (9 shared papers)Stephen Mackinnon (5 shared papers)David Leverett (3 shared papers)Anthony H. Goldstone (7 shared papers)N. Shaun B. Thomas (2 shared papers)Mike Watts (2 shared papers)
- Journals
- British Journal of Haematology (9 papers)Blood (6 papers)Cytotherapy (2 papers)Vox Sanguinis (2 papers)Haematologica (1 paper)
- Partner nations
- United KingdomIndiaChina
In The Last Decade
Stuart J. Ings
24 papers receiving 684 citations
Peers
Comparison fields: 5 of 60
- Hematology 403
- Genetics 116
- Immunology 166
- Oncology 193
- Transplantation 18
Countries citing papers authored by Stuart J. Ings
This map shows the geographic impact of Stuart J. Ings'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 Stuart J. Ings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart J. Ings more than expected).
Fields of papers citing papers by Stuart J. Ings
This network shows the impact of papers produced by Stuart J. Ings. 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 Stuart J. Ings. The network helps show where Stuart J. Ings may publish in the future.
Co-authors
The 25 scholars most cited alongside Stuart J. Ings, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 115 | |
| 2 | 1998 | 99 | |
| 3 | 2007 | 75 | |
| 4 | 2003 | 50 | |
| 5 | 2000 | 46 | |
| 6 | 2016 | 34 | |
| 7 | 2002 | 34 | |
| 8 | 1999 | 30 | |
| 9 | 2012 | 29 | |
| 10 | 2000 | 27 | |
| 11 | The T-lineage-affiliated CD2 gene lies within an open chromatin environment in acute promyelocytic leukemia cells. | 2002 | 26 |
| 12 | 2019 | 20 | |
| 13 | 2000 | 17 | |
| 14 | 2000 | 16 | |
| 15 | 2000 | 14 | |
| 16 | 2000 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2004 | 12 | |
| 19 | 2016 | 8 | |
| 20 | 2000 | 8 |
About Stuart J. Ings
Stuart J. Ings is a scholar working on Hematology, Oncology, Immunology, Molecular Biology and Genetics, having authored 24 papers that have together received 698 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), Immunotherapy and Immune Responses (5 papers), Platelet Disorders and Treatments (4 papers), Mesenchymal stem cell research (4 papers), Neutropenia and Cancer Infections (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Blood disorders and treatments (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (403 citations), Genetics (116 citations), Immunology (166 citations), Oncology (193 citations) and Transplantation (18 citations). Stuart J. Ings has collaborated with scholars based in United Kingdom, India and China. Frequent co-authors include David C. Linch, Michael Watts, Kwee Yong, Stephen Mackinnon, David Leverett, Anthony H. Goldstone, N. Shaun B. Thomas, Mike Watts, Angela Sullivan and Karl S. Peggs. Their work appears in journals such as British Journal of Haematology, Blood, Cytotherapy, Vox Sanguinis and Haematologica.
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.