F. J. Keith
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
-
- Invertebrate Immune Response Mechanisms
Papers in
-
- Developmental Biology and Gene Regulation 2
- Glycosylation and Glycoproteins Research 1
- Epigenetics and DNA Methylation 1
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- N Gay (3 shared papers)D. A. Bradbury (3 shared papers)Yongming Zhu (3 shared papers)N. H. Russell (2 shared papers)Nicholas J. Gay (2 shared papers)Yongming Zhu (1 shared paper)Nigel H. Russell (2 shared papers)Noah A. Russell (1 shared paper)
- Journals
- Cancer treatment and research (1 paper)BioEssays (1 paper)Biochemical Journal (1 paper)FEBS Letters (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United KingdomSouth Sudan
In The Last Decade
F. J. Keith
10 papers receiving 338 citations
Peers
Comparison fields: 5 of 51
- Hematology 72
- Immunology 106
- Molecular Biology 207
- Cellular and Molecular Neuroscience 48
- Cell Biology 40
Countries citing papers authored by F. J. Keith
This map shows the geographic impact of F. J. Keith'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 F. J. Keith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. J. Keith more than expected).
Fields of papers citing papers by F. J. Keith
This network shows the impact of papers produced by F. J. Keith. 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 F. J. Keith. The network helps show where F. J. Keith may publish in the future.
Co-authors
The 10 scholars most cited alongside F. J. Keith, 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 | Inhibition of bcl-2 with antisense oligonucleotides induces apoptosis and increases the sensitivity of AML blasts to Ara-C. | 1995 | 111 |
| 2 | 1990 | 104 | |
| 3 | 1995 | 32 | |
| 4 | 1992 | 31 | |
| 5 | Absence of retinoblastoma protein expression results in autocrine production of interleukin-6 and promotes the autonomous growth of acute myeloid leukemia blast cells. | 1994 | 30 |
| 6 | 1993 | 17 | |
| 7 | 1995 | 8 | |
| 8 | 1995 | 8 | |
| 9 | 1996 | 2 | |
| 10 | 1990 | 2 |
About F. J. Keith
F. J. Keith is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Hematology, having authored 10 papers that have together received 345 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Acute Myeloid Leukemia Research (2 papers), Cancer-related Molecular Pathways (2 papers), Developmental Biology and Gene Regulation (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Hematology (72 citations), Immunology (106 citations), Molecular Biology (207 citations), Cellular and Molecular Neuroscience (48 citations) and Cell Biology (40 citations). F. J. Keith has collaborated with scholars based in United Kingdom and South Sudan. Frequent co-authors include N Gay, D. A. Bradbury, Yongming Zhu, N. H. Russell, Nicholas J. Gay, Yongming Zhu, Nigel H. Russell, Noah A. Russell, Ann E. Hunter and Andrew Haynes. Their work appears in journals such as Cancer treatment and research, BioEssays, Biochemical Journal, FEBS Letters and The EMBO Journal.
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.