Michael Keating

524 citations
8 papers · 387 · h-index 7

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 4
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 1
    • Chronic Myeloid Leukemia Treatments 2
    • Acute Myeloid Leukemia Research 1
    • Hematopoietic Stem Cell Transplantation 1

Michael Keating

8 papers receiving 380 citations

Peers

Michael Keating
Comparison fields: 5 of 29
  • Genetics 217
  • Hematology 175
  • Pathology and Forensic Medicine 96
  • Oncology 93
  • Rheumatology 44
Replace B D Young with:
B D Young United Kingdom
Alexandra Oltová Czechia
Ana Aventín Spain
María T. Ardañaz Spain
Julia Romani Germany
Masuzu Ueda Japan
Hendrati Pirc‐Danoewinata Austria
CA Westbrook United States
D Falzetti Italy
Patrik Andreasson Sweden
Michael Keating relative to B D Young United Kingdom B D Young's profile →
Citations per field
00.5×1.7×
B D Young · 1×
Citations per year

Countries citing papers authored by Michael Keating

Since Specialization
Citations

This map shows the geographic impact of Michael 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 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 Keating more than expected).

Fields of papers citing papers by Michael Keating

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael 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 Keating. The network helps show where Michael Keating may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Keating, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Keating Line = papers co-authored together Michael Keating links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
ATM mutations in B-cell chronic lymphocytic leukemia.
1999189
2 199375
3
Clinical and prognostic significance of trisomy 21 in adult patients with acute myelogenous leukemia and myelodysplastic syndromes.
199538
4 200128
5 199826
6 200016
7 20009
8 19886

About Michael Keating

Michael Keating is a scholar working on Genetics, Hematology, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 8 papers that have together received 387 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (2 papers), Cancer-related Molecular Pathways (2 papers), Acute Myeloid Leukemia Research (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), DNA Repair Mechanisms (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Genetics (217 citations), Hematology (175 citations), Pathology and Forensic Medicine (96 citations), Oncology (93 citations) and Rheumatology (44 citations). Michael Keating has collaborated with scholars based in United States. Frequent co-authors include Maher Albitar, Petr Starostik, John C. Reed, Debora Rasio, Shinichi Kitada, C M Croce, Florencia Bullrich, H. Kantarjian, Elihu H. Estey and Moshe Talpaz. Their work appears in journals such as Cancer, Journal of Clinical Oncology, Leukemia Research, Blood and The American Journal of Medicine.

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.

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