Michael J. Keating
- Genetics top 0.01%
- Chronic Lymphocytic Leukemia Research 677
- Hematology top 0.01%
- Acute Myeloid Leukemia Research 227
- Chronic Myeloid Leukemia Treatments 141
- Pathology and Forensic Medicine top 0.01%
- Lymphoma Diagnosis and Treatment 388
- Immunology top 0.05%
- Immunodeficiency and Autoimmune Disorders 191
- Oncology top 0.05%
- Neutropenia and Cancer Infections 51
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- Acute Lymphoblastic Leukemia research 219
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- Advanced Breast Cancer Therapies 47
- Co-authors
- Hagop M. KantarjianSusan O’BrienWilliam G. WierdaEmil J. FreireichWilliam PlunkettElihu H. EsteyJörge E. CortesFrancis J. Giles
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Michael J. Keating
1.1k papers receiving 64.6k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Genetics 30.8k
- Hematology 21.3k
- Pathology and Forensic Medicine 21.1k
- Immunology 14.7k
- Oncology 13.3k
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-authorship network
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 | 2023 | 10 | |
| 2 | 2020 | 43 | |
| 3 | 2019 | 38 | |
| 4 | 2017 | 40 | |
| 5 | 2017 | 23 | |
| 6 | 2016 | 23 | |
| 7 | 2016 | 109 | |
| 8 | 2016 | 45 | |
| 9 | 2016 | 22 | |
| 10 | 2015 | 161 | |
| 11 | 2015 | 69 | |
| 12 | 2012 | 113 | |
| 13 | The phosphoinositide 3′-kinase delta inhibitor, CAL-101, inhibits B-cell receptor signaling and chemokine networks in chronic lymphocytic leukemiabreakdown → | 2011 | 442 |
| 14 | 2010 | 21 | |
| 15 | 2009 | 114 | |
| 16 | 2009 | 11 | |
| 17 | 2009 | 40 | |
| 18 | 2008 | 304 | |
| 19 | Frequent deletions and down-regulation of micro- RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemiabreakdown → | 2002 | 3875 |
| 20 | 1999 | 14 |
About Michael J. Keating
Michael J. Keating is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Immunology and Public Health, Environmental and Occupational Health, having authored 1.1k papers that have together received 66.6k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (677 papers), Lymphoma Diagnosis and Treatment (388 papers), Acute Myeloid Leukemia Research (227 papers), Acute Lymphoblastic Leukemia research (219 papers), Immunodeficiency and Autoimmune Disorders (191 papers), Chronic Myeloid Leukemia Treatments (141 papers), Neutropenia and Cancer Infections (51 papers) and Advanced Breast Cancer Therapies (47 papers). The work is most often cited by research in Genetics (30.8k citations), Hematology (21.3k citations), Pathology and Forensic Medicine (21.1k citations), Immunology (14.7k citations) and Oncology (13.3k citations). Michael J. Keating has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Hagop M. Kantarjian, Susan O’Brien, William G. Wierda, Emil J. Freireich, William Plunkett, Elihu H. Estey, Jörge E. Cortes, Francis J. Giles, Susan Lerner and Maher Albitar. Their work appears in journals such as Blood, Cancer, Journal of Clinical Oncology, Leukemia and British Journal of Haematology.
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.