W Keeble

566 citations
8 papers · 510 · h-index 8

Impact in

Papers in

    • DNA Repair Mechanisms 3
    • Ubiquitin and proteasome pathways 1
    • TGF-β signaling in diseases 1
    • RNA Interference and Gene Delivery 1
    • Platelet Disorders and Treatments 3
    • Hematopoietic Stem Cell Transplantation 2

W Keeble

8 papers receiving 489 citations

Peers

W Keeble
Comparison fields: 5 of 55
  • Immunology and Allergy 63
  • Hematology 108
  • Immunology 143
  • Oncology 140
  • Cell Biology 87
Replace L Severinsson with:
L Severinsson Sweden
Tsuneyoshi Hamada Japan
Motohiro Hashiyama Japan
Gaëlle Martin France
Laura Zamurs Australia
Goedele Wallays Belgium
Luzhou Xing United States
Rebecca A. Wagenaar-Miller United States
Varpu Kainulainen Finland
Pernille A. Usher Denmark
W Keeble relative to L Severinsson Sweden L Severinsson's profile →
Citations per field
00.5×
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Citations per year

Countries citing papers authored by W Keeble

Since Specialization
Citations

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

Fields of papers citing papers by W Keeble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside W Keeble, 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 W Keeble Line = papers co-authored together W Keeble links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1991222
2 1993125
3 199566
4 199440
5 199617
6
Constitutive and induced expression of hematopoietic growth factor genes by fibroblasts from children with Fanconi anemia.
199315
7 199314
8
Expression of the Fanconi anemia group C gene in hematopoietic cells is not influenced by oxidative stress, cross-linking agents, radiation, heat, or mitotic inhibitory factors.
199811

About W Keeble

W Keeble is a scholar working on Molecular Biology, Hematology, Immunology, Cell Biology and Physiology, having authored 8 papers that have together received 510 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Platelet Disorders and Treatments (3 papers), T-cell and B-cell Immunology (2 papers), Mast cells and histamine (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Ubiquitin and proteasome pathways (1 paper), TGF-β signaling in diseases (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Immunology and Allergy (63 citations), Hematology (108 citations), Immunology (143 citations), Oncology (140 citations) and Cell Biology (87 citations). W Keeble has collaborated with scholars based in United States. Frequent co-authors include MC Heinrich, Paul W. Cook, Mark R. Pittelkow, John P. Adelman, M. Shoyab, Gregory D. Plowman, Gary D. Shipley, David Kabat, Michael C. Heinrich and Grover C. Bagby. Their work appears in journals such as Blood, Molecular and Cellular Biology, Journal of Clinical Investigation and PubMed.

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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