Ayelet Peres

654 total citations
24 papers, 320 citations indexed

About

Ayelet Peres is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ayelet Peres has authored 24 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 10 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ayelet Peres's work include T-cell and B-cell Immunology (17 papers), Immune Cell Function and Interaction (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Ayelet Peres is often cited by papers focused on T-cell and B-cell Immunology (17 papers), Immune Cell Function and Interaction (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Ayelet Peres collaborates with scholars based in Israel, United States and Australia. Ayelet Peres's co-authors include Gur Yaari, Pazit Polak, Andrew M. Collins, Moriah Gidoni, William Lees, Corey T. Watson, Ludvig M. Sollid, Omri Snir, Ida Lindeman and Oscar L. Rodriguez and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ayelet Peres

21 papers receiving 310 citations

Peers

Ayelet Peres

IMMUN

RNMI

GENET

William Lees United Kingdom

Evgeniy S. Egorov Russia

Susanna Marquez United States

Thiago Detanico United States

Thil Batuwangala United Kingdom

K. Ryan Trinh United States

Li Mei United States

Martino Böhne Netherlands

Clara Young Australia

Atef Allam United States

William Lees United Kingdom

Ayelet Peres

227 ×1.1

IMMUN

213 ×1.4

154 ×1.4

RNMI

35 ×1.0

19 ×0.7

GENET

Citations per year, relative to Ayelet Peres Ayelet Peres (= 1×) peers William Lees

Countries citing papers authored by Ayelet Peres

Since Specialization

Citations

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

Fields of papers citing papers by Ayelet Peres

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayelet Peres

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rodriguez, Oscar L., William Lees, Eric Engelbrecht, et al.. (2025). The human IG heavy chain constant gene locus is enriched for large structural variants and coding polymorphisms that vary among human populations. Cell Genomics. 6(1). 101058–101058.

Lees, William, Ayelet Peres, N. Amos, et al.. (2025). The current landscape of adaptive immune receptor genomic and repertoire data: OGRDB and VDJbase. Nucleic Acids Research. 54(D1). D932–D937.

Conter, Laura, Shuchi Smita, Derrick Callahan, et al.. (2025). BLIMP1 controls GC B cell expansion and exit through regulating cell cycle progression and key transcription factors BCL6 and IRF4. Cell Reports. 44(7). 115977–115977. 1 indexed citations

Heather, James, Ayelet Peres, Gur Yaari, & William Lees. (2025). The gremlin in the works: why T cell receptor researchers need to pay more attention to germline reference sequences. SHILAP Revista de lepidopterología. 20. 100058–100058. 1 indexed citations

Collins, Andrew M., Mats Ohlin, Martin Corcoran, et al.. (2024). AIRR-C IG Reference Sets: curated sets of immunoglobulin heavy and light chain germline genes. Frontiers in Immunology. 14. 1330153–1330153. 13 indexed citations

Peres, Ayelet, et al.. (2024). An unbiased comparison of immunoglobulin sequence aligners. Briefings in Bioinformatics. 25(6). 2 indexed citations

Stoler‐Barak, Liat, Ethan Harris, Ayelet Peres, et al.. (2023). B cell class switch recombination is regulated by DYRK1A through MSH6 phosphorylation. Nature Communications. 14(1). 1462–1462. 9 indexed citations

Tieri, David, Oscar L. Rodriguez, Nancy Francoeur, et al.. (2023). FLAIRR-Seq: A Method for Single-Molecule Resolution of Near Full-Length Antibody H Chain Repertoires. The Journal of Immunology. 210(10). 1607–1619. 15 indexed citations

Peres, Ayelet, William Lees, Oscar L. Rodriguez, et al.. (2023). IGHV allele similarity clustering improves genotype inference from adaptive immune receptor repertoire sequencing data. Nucleic Acids Research. 51(16). e86–e86. 12 indexed citations

10.

Lees, William, Scott Christley, Ayelet Peres, et al.. (2023). AIRR community curation and standardised representation for immunoglobulin and T cell receptor germline sets. SHILAP Revista de lepidopterología. 10. 100025–100025. 9 indexed citations

11.

Jackson, Katherine, Justin T. Kos, William Lees, et al.. (2022). A BALB/c IGHV Reference Set, Defined by Haplotype Analysis of Long-Read VDJ-C Sequences From F1 (BALB/c x C57BL/6) Mice. Frontiers in Immunology. 13. 888555–888555. 13 indexed citations

12.

Peres, Ayelet, Oscar L. Rodriguez, Corey T. Watson, et al.. (2022). T cell receptor beta germline variability is revealed by inference from repertoire data. Genome Medicine. 14(1). 2–2. 29 indexed citations

13.

Safra, Modi, Lael Werner, Ayelet Peres, et al.. (2022). A somatic hypermutation–based machine learning model stratifies individuals with Crohn's disease and controls. Genome Research. 33(1). 71–79. 10 indexed citations

14.

Peres, Ayelet, et al.. (2021). Germline polymorphisms and alternative splicing of human immunoglobulin light chain genes. iScience. 24(10). 103192–103192. 13 indexed citations

15.

Klompus, Shelley, Sigal Leviatan, Thomas Vogl, et al.. (2021). Cross-reactive antibodies against human coronaviruses and the animal coronavirome suggest diagnostics for future zoonotic spillovers. Science Immunology. 6(61). 30 indexed citations

16.

Gidoni, Moriah, Ida Lindeman, Ayelet Peres, et al.. (2020). Polymorphisms in human immunoglobulin heavy chain variable genes and their upstream regions. Nucleic Acids Research. 48(10). 5499–5510. 24 indexed citations

17.

Gidoni, Moriah, Omri Snir, Ayelet Peres, et al.. (2019). Mosaic deletion patterns of the human antibody heavy chain gene locus shown by Bayesian haplotyping. Nature Communications. 10(1). 628–628. 67 indexed citations

18.

Peres, Ayelet, Moriah Gidoni, Pazit Polak, & Gur Yaari. (2019). RAbHIT: R Antibody Haplotype Inference Tool. Bioinformatics. 35(22). 4840–4842. 23 indexed citations

19.

Peres, Ayelet, Pazit Polak, Adrian J. Shepherd, et al.. (2019). VDJbase: an adaptive immune receptor genotype and haplotype database. Nucleic Acids Research. 48(D1). D1051–D1056. 42 indexed citations

20.

Peres, Ayelet, et al.. (1997). Frequency of B cells in normal mice which recognize self proteins. Brazilian Journal of Medical and Biological Research. 30(2). 225–230. 1 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.

Explore authors with similar magnitude of impact