MJ Keating
Impact in
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Genetics 29
- Chronic Lymphocytic Leukemia Research 26
- Hematology 22
- Acute Myeloid Leukemia Research 18
- Chronic Myeloid Leukemia Treatments 7
- Co-authors
- KB McCredie (20 shared papers)EJ Freireich (16 shared papers)Moshe Talpaz (11 shared papers)HM Kantarjian (17 shared papers)Charles Koller (9 shared papers)William Plunkett (7 shared papers)Hagop M. Kantarjian (6 shared papers)EH Estey (9 shared papers)
- Journals
- Blood (45 papers)Leukemia (3 papers)PubMed (6 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
MJ Keating
54 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 80
- Genetics 1.6k
- Hematology 1.2k
- Pathology and Forensic Medicine 811
- Immunology 610
- Oncology 739
Countries citing papers authored by MJ Keating
This map shows the geographic impact of MJ 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 MJ Keating with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MJ Keating more than expected).
Fields of papers citing papers by MJ Keating
This network shows the impact of papers produced by MJ 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 MJ Keating. The network helps show where MJ Keating may publish in the future.
Co-authors
The 25 scholars most cited alongside MJ 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
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 250 | |
| 2 | 1989 | 216 | |
| 3 | 1993 | 195 | |
| 4 | 1982 | 158 | |
| 5 | 1993 | 148 | |
| 6 | 1992 | 145 | |
| 7 | 1992 | 137 | |
| 8 | 1987 | 121 | |
| 9 | 1993 | 119 | |
| 10 | 1996 | 119 | |
| 11 | 1995 | 117 | |
| 12 | 1991 | 107 | |
| 13 | 2002 | 103 | |
| 14 | 1985 | 101 | |
| 15 | 1992 | 101 | |
| 16 | 1982 | 85 | |
| 17 | 1993 | 81 | |
| 18 | 1990 | 76 | |
| 19 | 1995 | 60 | |
| 20 | 1981 | 55 |
About MJ Keating
MJ Keating is a scholar working on Genetics, Hematology, Oncology, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 54 papers that have together received 3.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (26 papers), Acute Myeloid Leukemia Research (18 papers), Acute Lymphoblastic Leukemia research (14 papers), Lymphoma Diagnosis and Treatment (12 papers), Neutropenia and Cancer Infections (10 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Advanced Breast Cancer Therapies (5 papers). The work is most often cited by research in Genetics (1.6k citations), Hematology (1.2k citations), Pathology and Forensic Medicine (811 citations), Immunology (610 citations) and Oncology (739 citations). MJ Keating has collaborated with scholars based in United States, China and Australia. Frequent co-authors include KB McCredie, EJ Freireich, Moshe Talpaz, HM Kantarjian, Charles Koller, William Plunkett, Hagop M. Kantarjian, EH Estey, Elihu H. Estey and HM Kantarjian. Their work appears in journals such as Blood, Leukemia and PubMed.
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.