M Keating

4.2k citations
52 papers · 3.3k indexed · 1 hit paper · h-index 27

M Keating

51 papers receiving 3.1k citations

Hit Papers

Liposomal Amphotericin B for the Treatment of Systemic Fu...3291985202619982012100200300

Peers

M Keating
Comparison fields: 5 of 103
  • Genetics 1.4k
  • Hematology 991
  • Pathology and Forensic Medicine 974
  • Oncology 908
  • Immunology 502
Replace EJ Freireich with:
EJ Freireich United States
Bertold Emmerich Germany
F. G. J. Hayhoe United Kingdom
Philip A. Thompson United States
Dina Ben‐Yehuda Israel
Ulrich Jäger Austria
KB McCredie United States
Walter E. Aulitzky Germany
Ellin Berman United States
Mark Heaney United States
M Keating relative to EJ Freireich United States EJ Freireich's profile →
Citations per field
00.5×4.1×
EJ Freireich · 1×
Citations per year

Countries citing papers authored by M Keating

Since Specialization
Citations

This map shows the geographic impact of M 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 M Keating with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Keating more than expected).

Fields of papers citing papers by M Keating

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside M 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 M Keating Line = papers co-authored together M Keating links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201673
2 201510
3 200497
4 200242
5 200268
6
Loss of FHIT expression in acute lymphoblastic leukemia.
199918
7 199792
8 1996219
9 199477
10 199495
11 1993186
12 1993256
13 199258
14 1992173
15 199289
16
Analysis of risk factors for fatal hemorrhage during induction therapy of patients with acute promyelocytic leukemia.
198921
17 19892
18 19892
19 198866
20
Combination of high-dose cyclophosphamide, BCNU, and VP-16-213 followed by autologous marrow rescue in the treatment of relapsed leukemia.
198114

About M Keating

M Keating is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Oncology, having authored 52 papers that have together received 3.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (32 papers), Acute Myeloid Leukemia Research (18 papers), Acute Lymphoblastic Leukemia research (17 papers), Lymphoma Diagnosis and Treatment (14 papers), Chronic Myeloid Leukemia Treatments (8 papers), Eosinophilic Disorders and Syndromes (3 papers), Genetic factors in colorectal cancer (3 papers) and Neutropenia and Cancer Infections (3 papers). The work is most often cited by research in Genetics (1.4k citations), Hematology (991 citations), Pathology and Forensic Medicine (974 citations), Oncology (908 citations) and Immunology (502 citations). M Keating has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include W. Plunkett, Elihu H. Estey, Fernando Cabanillas, Hagop M. Kantarjian, Peter McLaughlin, Varsha Gandhi, William Plunkett, Fredrick B. Hagemeister, F Swan and James M. Reuben. Their work appears in journals such as Journal of Clinical Oncology, Blood, Cancer, British Journal of Haematology and Bioinformatics.

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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