Michael J. Keating
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Acute Myeloid Leukemia Research 6
- Chronic Myeloid Leukemia Treatments 2
- Multiple Myeloma Research and Treatments 2
- Hematopoietic Stem Cell Transplantation 2
- Genetics 4
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- Hagop M. Kantarjian (6 shared papers)Elihu H. Estey (5 shared papers)Ronald S. Walters (3 shared papers)Emil J. Freireich (3 shared papers)Sherry Pierce (1 shared paper)Michèle L. Donato (1 shared paper)Susan O’Brien (1 shared paper)Yu Shen (1 shared paper)
- Journals
- British Journal of Haematology (3 papers)Cancer (2 papers)Clinical Infectious Diseases (1 paper)Acta Haematologica (1 paper)Leukemia & lymphoma (2 papers)
- Partner nations
- United States
In The Last Decade
Michael J. Keating
10 papers receiving 381 citations
Peers
Comparison fields: 5 of 48
- Hematology 244
- Genetics 84
- Emergency Medicine 29
- Public Health, Environmental and Occupational Health 85
- Oncology 71
Countries citing papers authored by Michael J. Keating
This map shows the geographic impact of Michael J. Keating'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 J. Keating with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Keating more than expected).
Fields of papers citing papers by Michael J. Keating
This network shows the impact of papers produced by Michael J. Keating. 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 J. Keating. The network helps show where Michael J. Keating may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. Keating, 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 | 2001 | 103 | |
| 2 | The prognostic impact of BCL2 protein expression in acute myelogenous leukemia varies with cytogenetics. | 1999 | 73 |
| 3 | 1991 | 56 | |
| 4 | 1989 | 48 | |
| 5 | 1994 | 46 | |
| 6 | 2000 | 31 | |
| 7 | 1989 | 18 | |
| 8 | 1993 | 8 | |
| 9 | 2008 | 5 | |
| 10 | 2009 | 1 |
About Michael J. Keating
Michael J. Keating is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology, having authored 10 papers that have together received 389 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Chronic Myeloid Leukemia Treatments (2 papers), Multiple Myeloma Research and Treatments (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Tuberculosis Research and Epidemiology (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Hematology (244 citations), Genetics (84 citations), Emergency Medicine (29 citations), Public Health, Environmental and Occupational Health (85 citations) and Oncology (71 citations). Michael J. Keating has collaborated with scholars based in United States. Frequent co-authors include Hagop M. Kantarjian, Elihu H. Estey, Ronald S. Walters, Emil J. Freireich, Sherry Pierce, Michèle L. Donato, Susan O’Brien, Yu Shen, E. J. Freireich and Martin Körbling. Their work appears in journals such as British Journal of Haematology, Cancer, Clinical Infectious Diseases, Acta Haematologica and Leukemia & lymphoma.
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.