M. Keeney

1.4k citations
10 papers · 1.1k indexed · 1 hit paper · h-index 5

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

M. Keeney

10 papers receiving 1.1k citations

Hit Papers

The ISHAGE Guidelines for CD34+ Cell Determination by Flow Cytometry 1996 · 1.0k citations
1.0k19962026200620162505007501000

Peers

M. Keeney
Comparison fields: 5 of 87
  • Hematology 711
  • Genetics 255
  • Transplantation 37
  • Immunology 235
  • Oncology 282
Replace Leonard T. Heffner with:
Leonard T. Heffner United States
Katsuji Shinagawa Japan
Haruhiko Ninomiya Japan
Zhaoyue Wang China
J. Rifón Spain
Pasquale Iacopino Italy
Norio Hirabayashi Japan
Tsutomu Shichishima Japan
D. Söhngen Germany
Eileen M. Boyle United States
M. Keeney relative to Leonard T. Heffner United States Leonard T. Heffner's profile →
Citations per field
00.5×1.5×
Leonard T. Heffner · 1×
Citations per year

Countries citing papers authored by M. Keeney

Since Specialization
Citations

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

Fields of papers citing papers by M. Keeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 20081
2 200511
3
Appendix 1: auto-standardization and compensation for CD34 analysis (Beckman-Coulter XL Flow Cytometer - System II Software).
20031
4 200120
5 19992
6 19981
7 199817
8 19961
9
The ISHAGE Guidelines for CD34+ Cell Determination by Flow Cytometry
Hit paper breakdown →
19961005
10 199489

About M. Keeney

M. Keeney is a scholar working on Transplantation, Hematology, Internal Medicine, Genetics and Biomaterials, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Nanoparticle-Based Drug Delivery (1 paper), Pluripotent Stem Cells Research (1 paper), Single-cell and spatial transcriptomics (1 paper), Renal Transplantation Outcomes and Treatments (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Hematology (711 citations), Genetics (255 citations), Transplantation (37 citations), Immunology (235 citations) and Oncology (282 citations). M. Keeney has collaborated with scholars based in Canada, Netherlands and United Kingdom. Frequent co-authors include D. Robert Sutherland, Ian Chin‐Yee, Rakash Nayar, Lori Anderson, Moira Cruickshank, Kenneth MacKinnon, Michael J. Kovacs, Eleanor Boyle, M.J. Kovacs and David Allan. Their work appears in journals such as Cytometry, Thrombosis and Haemostasis, The FASEB Journal, Experimental Hematology and Thrombosis 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026