Michael Keating

512 citations
8 papers · 414 · h-index 7

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Genomic variations and chromosomal abnormalities
  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 4
    • Chronic Myeloid Leukemia Treatments 2
    • Acute Myeloid Leukemia Research 1

Michael Keating

7 papers receiving 394 citations

Peers

Michael Keating
Comparison fields: 5 of 26
  • Genetics 134
  • Hematology 158
  • Pathology and Forensic Medicine 40
  • Oncology 21
  • Molecular Biology 53
Replace B D Young with:
B D Young United Kingdom
Heather Cazzolli United States
Michelle McBean Australia
Steven Richebourg France
Rebeca Cuello Spain
María Abáigar Spain
Kristin E. Meade United States
Catherine Hélias France
Aron Skaftason Sweden
Grace K. Penfold South Africa
Michael Keating relative to B D Young United Kingdom B D Young's profile →
Citations per field
00.5×1.5×1.9×
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.
1999197
2 199383
3
Clinical and prognostic significance of trisomy 21 in adult patients with acute myelogenous leukemia and myelodysplastic syndromes.
199549
4 200132
5 199825
6 200016
7 200012
8 20260

About Michael Keating

Michael Keating is a scholar working on Genetics, Hematology, Public Health, Environmental and Occupational Health, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 8 papers that have together received 414 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (2 papers), Acute Lymphoblastic Leukemia research (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Genetics (134 citations), Hematology (158 citations), Pathology and Forensic Medicine (40 citations), Oncology (21 citations) and Molecular Biology (53 citations). Michael Keating has collaborated with scholars based in United States and Australia. Frequent co-authors include Maher X. Albitar, Petr Starostik, Susan Mary O'Brien, Florencia Bullrich, Shinichi Kitada, Thomas J. Kipps, Debora Rasio, John C. Reed, Carlo Maria Croce and Elihu H. Estey. Their work appears in journals such as Cancer, The American Journal of Medicine, Journal of Clinical Oncology, Leukemia Research and Blood Advances.

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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