Debra J. Decker

678 total citations
14 papers, 576 citations indexed

About

Debra J. Decker is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Debra J. Decker has authored 14 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Debra J. Decker's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Debra J. Decker is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Debra J. Decker collaborates with scholars based in United States. Debra J. Decker's co-authors include Norman R. Klinman, Phyllis‐Jean Linton, James A. Koziol, Fermin Garduño, Linda Thorne, Alan M. Walfield, Thomas J. Pollock, Martha A. Wild, Brent S. Stewart and Niles Lehman and has published in prestigious journals such as Cell, Immunity and The Journal of Immunology.

In The Last Decade

Debra J. Decker

14 papers receiving 553 citations

Peers

Debra J. Decker
Justin T. Kos United States
Derik de Bruin United States
Emma Langley United States
Donald M. Silver United States
Sigrid J. Stewart United States
Terence D. Prospero United Kingdom
Simona Bartl United States
Justin T. Kos United States
Debra J. Decker
Citations per year, relative to Debra J. Decker Debra J. Decker (= 1×) peers Justin T. Kos

Countries citing papers authored by Debra J. Decker

Since Specialization
Citations

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

Fields of papers citing papers by Debra J. Decker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra J. Decker. 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 Debra J. Decker. The network helps show where Debra J. Decker may publish in the future.

Co-authorship network of co-authors of Debra J. Decker

This figure shows the co-authorship network connecting the top 25 collaborators of Debra J. Decker. A scholar is included among the top collaborators of Debra J. Decker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Debra J. Decker. Debra J. Decker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Lehman, Niles, Debra J. Decker, & Brent S. Stewart. (2004). DIVERGENT PATTERNS OF VARIATION IN MAJOR HISTOCOMPATIBILITY COMPLEX CLASS II ALLELES AMONG ANTARCTIC PHOCID PINNIPEDS. Journal of Mammalogy. 85(6). 1215–1224. 21 indexed citations
2.
Decker, Debra J., Brent S. Stewart, & Niles Lehman. (2002). Major histocompatibility complex class II DOA sequences from three Antarctic seal species verify stabilizing selection on the DO locus. Tissue Antigens. 60(6). 534–538. 13 indexed citations
3.
Decker, Debra J., et al.. (1995). Defining subsets of naive and memory B cells based on the ability of their progeny to somatically mutate in vitro. Immunity. 2(2). 195–203. 50 indexed citations
4.
Decker, Debra J., et al.. (1995). Heavy chain V gene-specific elimination of B cells during the pre-B cell to B cell transition.. The Journal of Immunology. 154(10). 4924–4935. 34 indexed citations
5.
6.
7.
Decker, Debra J. & Norman R. Klinman. (1992). Interrelating B Cell Subpopulations and Environmental Regulation with the Expression of Three Tiers of Repertoire Diversity. International Reviews of Immunology. 8(2-3). 159–171. 1 indexed citations
8.
Decker, Debra J. & Norman R. Klinman. (1991). Reply: developmental selection complements evolutionary determination. Immunology Today. 12(11). 421–421. 6 indexed citations
9.
Decker, Debra J., et al.. (1991). Predominance of nonproductive rearrangements of VH81X gene segments evidences a dependence of B cell clonal maturation on the structure of nascent H chains. The Journal of Immunology. 147(4). 1406–1411. 64 indexed citations
10.
Decker, Debra J., et al.. (1991). The expression of the Ig H chain repertoire in developing bone marrow B lineage cells. The Journal of Immunology. 146(1). 350–361. 79 indexed citations
11.
Klinman, Norman R. & Debra J. Decker. (1990). Diversity 1990. Immunological Reviews. 115(1). 211–224. 7 indexed citations
12.
Linton, Phyllis‐Jean, Debra J. Decker, & Norman R. Klinman. (1989). Primary antibody-forming cells and secondary B cells are generated from separate precursor cell subpopulations. Cell. 59(6). 1049–1059. 185 indexed citations
13.
Thorne, Linda, Fermin Garduño, Debra J. Decker, et al.. (1986). Structural similarity between the lepidoptera- and diptera-specific insecticidal endotoxin genes of Bacillus thuringiensis subsp. "kurstaki" and "israelensis". Journal of Bacteriology. 166(3). 801–811. 106 indexed citations
14.
Thorne, Linda, et al.. (1986). Structural Similarity between theLepidoptera- andDiptera-Specific Insecticidal Endotoxin GenesofBacillus thuringiensis subsp. "kurstaki" and"israelensis". 4 indexed citations

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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