Karen E. DeBell

890 citations
24 papers · 763 · h-index 16

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • Protein Kinase Regulation and GTPase Signaling 10
    • Glycosylation and Glycoproteins Research 4
    • Signaling Pathways in Disease 3
    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 5

Karen E. DeBell

24 papers receiving 754 citations

Peers

Karen E. DeBell
Comparison fields: 5 of 64
  • Immunology and Allergy 114
  • Immunology 356
  • Cell Biology 118
  • Physiology 30
  • Molecular Biology 386
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Citations per field
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Citations per year

Countries citing papers authored by Karen E. DeBell

Since Specialization
Citations

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

Fields of papers citing papers by Karen E. DeBell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen E. DeBell. 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 Karen E. DeBell. The network helps show where Karen E. DeBell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009123
2 200158
3 199755
4
The amino-terminal Src homology 2 domain of phospholipase C gamma 1 is essential for TCR-induced tyrosine phosphorylation of phospholipase C gamma 1.
199855
5 199853
6 201145
7 200544
8 199241
9 199237
10 199936
11 201035
12 200629
13 201122
14 201221
15 198420
16 199819
17 200314
18 198913
19 199113
20 200013

About Karen E. DeBell

Karen E. DeBell is a scholar working on Molecular Biology, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 24 papers that have together received 763 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (5 papers), Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Signaling Pathways in Disease (3 papers), Cell Adhesion Molecules Research (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Immunology and Allergy (114 citations), Immunology (356 citations), Cell Biology (118 citations), Physiology (30 citations) and Molecular Biology (386 citations). Karen E. DeBell has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Barbara L. Rellahan, Ezio Bonvini, Laurie Graham, Bogdan A. Stoica, M.A. Álava, Thomas Hoffman, Stephen Shaw, Jian-Jiang Hao, Yin Liu and Michael J. Kruhlak. Their work appears in journals such as The Journal of Immunology, Molecular and Cellular Biology, Biochemical Journal, BMC Immunology and Journal of Biological Chemistry.

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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