MJ Keating

766 citations
9 papers · 641 indexed · h-index 6

Impact in

  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation

Papers in

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

MJ Keating

8 papers receiving 609 citations

Peers

MJ Keating
Comparison fields: 5 of 51
  • Genetics 452
  • Hematology 181
  • Pathology and Forensic Medicine 272
  • Immunology 203
  • Oncology 145
Replace Beatrice Del Moro with:
Beatrice Del Moro Italy
CA Koller United States
Carol Burian United States
Monica Tozzi Italy
J L Binet France
Sylvie Ramond France
Natali Pflug Germany
S Stass United States
A. Raghavachar Germany
Daphne R. Friedman United States
MJ Keating relative to Beatrice Del Moro Italy Beatrice Del Moro's profile →
Citations per field
00.5×1.5×
Beatrice Del Moro · 1×
Citations per year

Countries citing papers authored by MJ Keating

Since Specialization
Citations

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

Fields of papers citing papers by MJ Keating

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 200076
2 19996
3 199714
4 19951
5 19942
6 199393
7 1989382
8 198164
9 19773

About MJ Keating

MJ Keating is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Immunology and Oncology, having authored 9 papers that have together received 641 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Cancer therapeutics and mechanisms (2 papers), Acute Myeloid Leukemia Research (2 papers), Neutropenia and Cancer Infections (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Genetics (452 citations), Hematology (181 citations), Pathology and Forensic Medicine (272 citations), Immunology (203 citations) and Oncology (145 citations). MJ Keating has collaborated with scholars based in United States. Frequent co-authors include William Plunkett, Charles Koller, Moshe Talpaz, J R Redman, Barthel Barlogie, H. Kantarjian, William S. Velasquez, Peng Huang, Eric Van Den Neste and M. Andreeff. Their work appears in journals such as Leukemia, Blood, International Journal of Oncology and American Journal of Clinical Nutrition.

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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