Michael Keeney

3.8k citations
81 papers · 2.8k indexed · h-index 29

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 2%
    • Mesenchymal stem cell research

Papers in

Michael Keeney

81 papers receiving 2.7k citations

Peers

Michael Keeney
Comparison fields: 5 of 110
  • Hematology 1.3k
  • Genetics 540
  • Transplantation 105
  • Internal Medicine 140
  • Immunology 751
Replace Ilse Schwarzinger with:
Ilse Schwarzinger Austria
Vinod Pullarkat United States
Monique C. Minnema Netherlands
Leticia Nolasco United States
Athanasios Fassas United States
Patrizia Tosi Italy
Giovanni Del Poeta Italy
Christoph Salat Germany
Chan‐Jeoung Park South Korea
SI Bearman United States
Michael Keeney relative to Ilse Schwarzinger Austria Ilse Schwarzinger's profile →
Citations per field
00.5×3.1×
Ilse Schwarzinger · 1×
Citations per year

Countries citing papers authored by Michael Keeney

Since Specialization
Citations

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

Fields of papers citing papers by Michael Keeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20149
2 201019
3 20084
4 20089
5 200819
6 200772
7 200514
8 200549
9 2003105
10 20039
11 200133
12 200012
13 199961
14 199866
15 199717
16 199728
17 19968
18 199487
19 19944
20 199017

About Michael Keeney

Michael Keeney is a scholar working on Hematology, Internal Medicine, Genetics, Immunology and Nephrology, having authored 81 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), Single-cell and spatial transcriptomics (10 papers), Complement system in diseases (10 papers), Cancer Genomics and Diagnostics (10 papers), Acute Lymphoblastic Leukemia research (10 papers), Acute Myeloid Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (9 papers) and Cancer Cells and Metastasis (8 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (540 citations), Transplantation (105 citations), Internal Medicine (140 citations) and Immunology (751 citations). Michael Keeney has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include D. Robert Sutherland, Ian Chin‐Yee, Alison L. Allan, Rakash Nayar, Jan W. Gratama, Benjamin D. Hedley, Andrea Illingworth, David Barnett, J.W. Gratama and Ann F. Chambers. Their work appears in journals such as Cytometry Part B Clinical Cytometry, Cytometry, Blood, Cytometry Part A and Thrombosis and Haemostasis.

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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