F. J. Keith

994 citations
10 papers · 330 · h-index 8

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Invertebrate Immune Response Mechanisms

Papers in

    • Developmental Biology and Gene Regulation 2
    • Advanced biosensing and bioanalysis techniques 1
    • Cancer-related Molecular Pathways 2

F. J. Keith

10 papers receiving 326 citations

Peers

F. J. Keith
Comparison fields: 5 of 51
  • Hematology 81
  • Immunology 106
  • Molecular Biology 204
  • Cellular and Molecular Neuroscience 47
  • Cell Biology 40
Replace Th.M. Berkvens with:
Th.M. Berkvens Netherlands
Georgi L. Lukov United States
L. Golden United Kingdom
Emi Ichikawa-Iwata Japan
Gonzalo R. Ordóñez Spain
Angelika Kehlenbach Germany
Dorothy E. Moore United States
J Goetz France
Christine Laker Germany
M. Otte Germany
F. J. Keith relative to Th.M. Berkvens Netherlands Th.M. Berkvens's profile →
Citations per field
00.5×
Th.M. Berkvens · 1×
Citations per year

Countries citing papers authored by F. J. Keith

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with F. J. Keith Line = papers co-authored together F. J. Keith links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Inhibition of bcl-2 with antisense oligonucleotides induces apoptosis and increases the sensitivity of AML blasts to Ara-C.
1995105
2 1990101
3 199532
4
Absence of retinoblastoma protein expression results in autocrine production of interleukin-6 and promotes the autonomous growth of acute myeloid leukemia blast cells.
199429
5 199227
6 199317
7 19958
8 19958
9 19962
10 19901

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 330 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (3 papers), Cellular Mechanics and Interactions (3 papers), Cancer-related Molecular Pathways (2 papers), Acute Myeloid Leukemia Research (2 papers), Developmental Biology and Gene Regulation (2 papers), Ocular Oncology and Treatments (1 paper), Neurobiology and Insect Physiology Research (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Hematology (81 citations), Immunology (106 citations), Molecular Biology (204 citations), Cellular and Molecular Neuroscience (47 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, Nigel H. Russell, Yongming Zhu, Noah A. Russell, Ann E. Hunter and Andrew Haynes. Their work appears in journals such as The EMBO Journal, FEBS Letters, BioEssays, Cancer treatment and research and Biochemical 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.

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