C. O'Keefe
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 8
- Chronic Myeloid Leukemia Treatments 2
- Genetics 5
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
- Co-authors
- A. Gregory Matera (3 shared papers)Christopher W. Davies‐Jenkins (2 shared papers)Xiaoyu Wu (2 shared papers)Kun‐Liang Guan (2 shared papers)Yue Xiong (2 shared papers)M.A. Nichols (1 shared paper)Jaroslaw P. Maciejewski (8 shared papers)Ramón V. Tiu (6 shared papers)
- Journals
- Leukemia (5 papers)Leukemia Research (2 papers)Haematologica (2 papers)Molecular Biology of the Cell (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
C. O'Keefe
18 papers receiving 1.4k citations
C. O'Keefe's Hit Papers
Peers
Comparison fields: 5 of 71
- Hematology 486
- Genetics 253
- Oncology 599
- Molecular Biology 831
- Cell Biology 161
Countries citing papers authored by C. O'Keefe
This map shows the geographic impact of C. O'Keefe'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 C. O'Keefe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. O'Keefe more than expected).
Fields of papers citing papers by C. O'Keefe
This network shows the impact of papers produced by C. O'Keefe. 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 C. O'Keefe. The network helps show where C. O'Keefe may publish in the future.
Co-authors
The 25 scholars most cited alongside C. O'Keefe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Growth suppression by p18, a p16INK4/MTS1- and p14INK4B/MTS2-related CDK6 inhibitor, correlates with wild-type pRb function. Hit paper breakdown → | 1994 | 610 |
| 2 | 2013 | 219 | |
| 3 | 2013 | 104 | |
| 4 | 1996 | 99 | |
| 5 | 1995 | 79 | |
| 6 | 2011 | 75 | |
| 7 | 2011 | 66 | |
| 8 | 2008 | 47 | |
| 9 | 2005 | 47 | |
| 10 | 2007 | 42 | |
| 11 | 1996 | 26 | |
| 12 | 2012 | 25 | |
| 13 | 2012 | 14 | |
| 14 | 1997 | 10 | |
| 15 | 1994 | 7 | |
| 16 | 2009 | 1 | |
| 17 | 2009 | 1 | |
| 18 | 2005 | 1 |
About C. O'Keefe
C. O'Keefe is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Complement system in diseases (3 papers), Epigenetics and DNA Methylation (3 papers), Renal Diseases and Glomerulopathies (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Cancer-related Molecular Pathways (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Hematology (486 citations), Genetics (253 citations), Oncology (599 citations), Molecular Biology (831 citations) and Cell Biology (161 citations). C. O'Keefe has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include A. Gregory Matera, Christopher W. Davies‐Jenkins, Xiaoyu Wu, Kun‐Liang Guan, Yue Xiong, M.A. Nichols, Jaroslaw P. Maciejewski, Ramón V. Tiu, Yuka Sugimoto and Mikkael A. Sekeres. Their work appears in journals such as Leukemia, Leukemia Research, Haematologica, Molecular Biology of the Cell and British Journal of Haematology.
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.