Michael Keeney
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
- Hematology 30
- Hematopoietic Stem Cell Transplantation 17
- Immunology 21
- Complement system in diseases 9
- T-cell and B-cell Immunology 6
- Co-authors
- D. Robert Sutherland (26 shared papers)Ian Chin‐Yee (25 shared papers)Alison L. Allan (8 shared papers)Jan Popma (3 shared papers)Rakash Nayar (2 shared papers)Jan W. Gratama (9 shared papers)Benjamin D. Hedley (14 shared papers)Andrea Illingworth (7 shared papers)
- Journals
- Cytometry Part B Clinical Cytometry (15 papers)Blood (5 papers)Cytometry (5 papers)Cytometry Part A (4 papers)Thrombosis and Haemostasis (3 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Michael Keeney
81 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 100
- Hematology 1.0k
- Genetics 400
- Internal Medicine 114
- Immunology 631
- Transplantation 62
Countries citing papers authored by Michael Keeney
This map shows the geographic impact of Michael Keeney'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 Michael Keeney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Keeney more than expected).
Fields of papers citing papers by Michael Keeney
This network shows the impact of papers produced by Michael Keeney. 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 Michael Keeney. The network helps show where Michael Keeney may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Keeney, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 393 | |
| 2 | 2002 | 186 | |
| 3 | 1998 | 157 | |
| 4 | 2009 | 156 | |
| 5 | 2003 | 106 | |
| 6 | 2012 | 94 | |
| 7 | 1994 | 87 | |
| 8 | 2005 | 76 | |
| 9 | 2007 | 72 | |
| 10 | 1998 | 66 | |
| 11 | 1999 | 61 | |
| 12 | 2013 | 60 | |
| 13 | 2001 | 49 | |
| 14 | 2009 | 49 | |
| 15 | 2005 | 49 | |
| 16 | 1993 | 47 | |
| 17 | 2011 | 42 | |
| 18 | 2003 | 42 | |
| 19 | 2017 | 41 | |
| 20 | 2002 | 38 |
About Michael Keeney
Michael Keeney is a scholar working on Hematology, Immunology, Oncology, Molecular Biology and Genetics, having authored 82 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (17 papers), Single-cell and spatial transcriptomics (10 papers), Acute Lymphoblastic Leukemia research (9 papers), Complement system in diseases (9 papers), Cancer Genomics and Diagnostics (8 papers), Cancer Cells and Metastasis (7 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Hematology (1.0k citations), Genetics (400 citations), Internal Medicine (114 citations), Immunology (631 citations) and Transplantation (62 citations). Michael Keeney has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include D. Robert Sutherland, Ian Chin‐Yee, Alison L. Allan, Jan Popma, Rakash Nayar, Jan W. Gratama, Benjamin D. Hedley, Andrea Illingworth, David Barnett and J.W. Gratama. Their work appears in journals such as Cytometry Part B Clinical Cytometry, Blood, Cytometry, Cytometry Part A and Thrombosis and Haemostasis.
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.