Elizabeth Corbett

563 total citations
9 papers, 338 citations indexed

About

Elizabeth Corbett is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Elizabeth Corbett has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Elizabeth Corbett's work include T-cell and B-cell Immunology (4 papers), DNA Repair Mechanisms (3 papers) and Immune Cell Function and Interaction (2 papers). Elizabeth Corbett is often cited by papers focused on T-cell and B-cell Immunology (4 papers), DNA Repair Mechanisms (3 papers) and Immune Cell Function and Interaction (2 papers). Elizabeth Corbett collaborates with scholars based in United States, United Kingdom and India. Elizabeth Corbett's co-authors include David G. Schatz, Rafael Casellas, Wolfgang Resch, Arito Yamane, Yanhong Ji, Alicia J. Little, Cristian Boboilă, Craig H. Bassing, Grace Teng and Elizabeth Chan and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Elizabeth Corbett

8 papers receiving 337 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elizabeth Corbett United States 7 221 200 39 20 17 9 338
S. R. Himes Australia 8 181 0.8× 134 0.7× 43 1.1× 14 0.7× 40 2.4× 8 332
Zarixia Zavala‐Ruiz United States 7 242 1.1× 152 0.8× 20 0.5× 15 0.8× 8 0.5× 8 339
Helen L. Wu United States 7 68 0.3× 244 1.2× 110 2.8× 41 2.0× 25 1.5× 15 424
Susan Bort United States 5 238 1.1× 142 0.7× 37 0.9× 14 0.7× 3 0.2× 10 340
Lorande Loss Woodruff United States 2 162 0.7× 244 1.2× 21 0.5× 17 0.8× 5 0.3× 4 454
M P Zacheis United States 4 116 0.5× 300 1.5× 48 1.2× 54 2.7× 4 0.2× 6 420
Jingwei Zeng United Kingdom 7 129 0.6× 233 1.2× 38 1.0× 20 1.0× 2 0.1× 11 340
Tze King Tan Singapore 10 76 0.3× 225 1.1× 42 1.1× 21 1.1× 14 0.8× 31 354
Katayoun Varzavand United States 7 74 0.3× 464 2.3× 44 1.1× 22 1.1× 3 0.2× 11 563
María Fátima Ladelfa Argentina 10 124 0.6× 149 0.7× 93 2.4× 23 1.1× 25 1.5× 16 335

Countries citing papers authored by Elizabeth Corbett

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Corbett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Corbett

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Corbett. A scholar is included among the top collaborators of Elizabeth Corbett 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 Elizabeth Corbett. Elizabeth Corbett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Rickman, Hannah M., Helena R. A. Feasey, Maria Krutikov, et al.. (2025). Sex differences in the risk of Mycobacterium tuberculosis infection: a systematic review and meta-analysis of population-based immunoreactivity surveys. The Lancet Public Health. 10(7). e588–e598. 2 indexed citations
2.
Dauphars, Danielle J., et al.. (2024). RORγt up-regulates RAG gene expression in DP thymocytes to expand the Tcra repertoire. Science Immunology. 9(93). eadh5318–eadh5318.
3.
Beilinson, Helen A., Jianxiong Xiao, Elizabeth Corbett, et al.. (2021). The RAG1 N-terminal region regulates the efficiency and pathways of synapsis for V(D)J recombination. The Journal of Experimental Medicine. 218(10). 11 indexed citations
4.
Zhang, Yuhang, Elizabeth Corbett, Shenping Wu, & David G. Schatz. (2020). Structural basis for the activation and suppression of transposition during evolution of the RAG recombinase. The EMBO Journal. 39(21). e105857–e105857. 6 indexed citations
5.
Little, Alicia J., et al.. (2013). Cooperative recruitment of HMGB1 during V(D)J recombination through interactions with RAG1 and DNA. Nucleic Acids Research. 41(5). 3289–3301. 31 indexed citations
6.
Chan, Elizabeth, Grace Teng, Elizabeth Corbett, et al.. (2013). Peripheral subnuclear positioning suppresses Tcrb recombination and segregates Tcrb alleles from RAG2. Proceedings of the National Academy of Sciences. 110(48). E4628–37. 21 indexed citations
7.
Ji, Yanhong, Wolfgang Resch, Elizabeth Corbett, et al.. (2010). The In Vivo Pattern of Binding of RAG1 and RAG2 to Antigen Receptor Loci. Cell. 141(3). 419–431. 220 indexed citations
8.
Corbett, Elizabeth, et al.. (2004). Mutational Analysis of Terminal Deoxynucleotidyltransferase- Mediated N-Nucleotide Addition in V(D)J Recombination. The Journal of Immunology. 172(9). 5478–5488. 26 indexed citations
9.
Gavalchin, Jerrie, et al.. (1995). Regional Localization of the Putative Cell Surface Receptor for HTLV-I to Human Chromosome 17q23.2-17q25.3. Virology. 212(1). 196–203. 21 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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