Michael Keating

523 citations
8 papers · 386 indexed · 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 5
    • Acute Myeloid Leukemia Research 2
    • Chronic Myeloid Leukemia Treatments 2
    • Hematopoietic Stem Cell Transplantation 1

Michael Keating

8 papers receiving 379 citations

Peers

Michael Keating
Comparison fields: 5 of 31
  • Genetics 238
  • Hematology 176
  • Pathology and Forensic Medicine 112
  • Oncology 109
  • Rheumatology 48
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B D Young United Kingdom
Alexandra Oltová Czechia
G. García-Manero United States
María T. Ardañaz Spain
Masuzu Ueda Japan
Julia Romani Germany
CA Westbrook United States
Tuija Lundán Finland
Jiřı́ Schwarz Czechia
D Falzetti Italy
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Citations per field
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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-authorship network

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 200128
2 200016
3 20009
4
ATM mutations in B-cell chronic lymphocytic leukemia.
1999189
5 199826
6
Clinical and prognostic significance of trisomy 21 in adult patients with acute myelogenous leukemia and myelodysplastic syndromes.
199538
7 199374
8 19886

About Michael Keating

Michael Keating is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Emergency Medicine and Oncology, having authored 8 papers that have together received 386 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (2 papers), Cancer-related Molecular Pathways (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Hematopoietic Stem Cell Transplantation (1 paper), DNA Repair Mechanisms (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Genetics (238 citations), Hematology (176 citations), Pathology and Forensic Medicine (112 citations), Oncology (109 citations) and Rheumatology (48 citations). Michael Keating has collaborated with scholars based in United States. Frequent co-authors include Petr Starostik, Maher Albitar, Florencia Bullrich, Debora Rasio, John C. Reed, Shinichi Kitada, C M Croce, Elihu H. Estey, H. Kantarjian and Moshe Talpaz. Their work appears in journals such as Cancer, Journal of Clinical Oncology, The American Journal of Medicine, Blood and Leukemia Research.

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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