Jakub Abramson

3.6k total citations
38 papers, 2.2k citations indexed

About

Jakub Abramson is a scholar working on Immunology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jakub Abramson has authored 38 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 13 papers in Molecular Biology and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jakub Abramson's work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (16 papers) and Adrenal Hormones and Disorders (9 papers). Jakub Abramson is often cited by papers focused on Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (16 papers) and Adrenal Hormones and Disorders (9 papers). Jakub Abramson collaborates with scholars based in Israel, United States and Norway. Jakub Abramson's co-authors include Christophe Benoıst, Diane Mathis, Graham Anderson, Israel Pecht, Matthieu Giraud, Daniel H.D. Gray, Yael Goldfarb, Noam Kadouri, Shir Nevo and Eystein S. Husebye and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jakub Abramson

38 papers receiving 2.2k citations

Peers

Jakub Abramson
Izumi Ohigashi Japan
Maria De La Luz Sierra United States
I. Viard Switzerland
David J. Izon Australia
Ornella Zollo Italy
Barry J. Dussault United States
Rive Sarfstein Israel
Pieter Faber United States
Kimio Matsumura Japan
Eric M. Jacobson United States
Izumi Ohigashi Japan
Jakub Abramson
Citations per year, relative to Jakub Abramson Jakub Abramson (= 1×) peers Izumi Ohigashi

Countries citing papers authored by Jakub Abramson

Since Specialization
Citations

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

Fields of papers citing papers by Jakub Abramson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Abramson

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

All Works

20 of 20 papers shown
1.
Nevo, Shir, N Frenkeĺ, Noam Kadouri, et al.. (2024). Tuft cells and fibroblasts promote thymus regeneration through ILC2-mediated type 2 immune response. Science Immunology. 9(91). eabq6930–eabq6930. 22 indexed citations
2.
Noronha, Ashish, Moshit Lindzen, Emily K. Makowski, et al.. (2023). Computational optimization of antibody humanness and stability by systematic energy-based ranking. Nature Biomedical Engineering. 8(1). 30–44. 19 indexed citations
3.
Abramson, Jakub, Jan Dobeš, Mengze Lyu, & Gregory F. Sonnenberg. (2023). The emerging family of RORγt+ antigen-presenting cells. Nature reviews. Immunology. 24(1). 64–77. 35 indexed citations
4.
Brabec, Tomáš, Martin Schwarzer, Dagmar Šrůtková, et al.. (2023). Segmented filamentous bacteria–induced epithelial MHCII regulates cognate CD4+ IELs and epithelial turnover. The Journal of Experimental Medicine. 221(1). 14 indexed citations
5.
Oftedal, Bergithe E, Øyvind Bruserud, Yael Goldfarb, et al.. (2023). A partial form of AIRE deficiency underlies a mild form of autoimmune polyendocrine syndrome type 1. Journal of Clinical Investigation. 133(21). 5 indexed citations
6.
Kadouri, Noam, Shir Nevo, Joschka Hey, et al.. (2022). Transcriptional regulation of the thymus master regulatorFoxn1. Science Immunology. 7(74). eabn8144–eabn8144. 11 indexed citations
7.
Dobeš, Jan, Liat Stoler‐Barak, Bergithe E Oftedal, et al.. (2022). Extrathymic expression of Aire controls the induction of effective TH17 cell-mediated immune response to Candida albicans. Nature Immunology. 23(7). 1098–1108. 41 indexed citations
8.
Delacher, Michael, Yonatan Herzig, Katrin Eichelbaum, et al.. (2020). Quantitative Proteomics Identifies TCF1 as a Negative Regulator of Foxp3 Expression in Conventional T Cells. iScience. 23(5). 101127–101127. 4 indexed citations
9.
Kadouri, Noam, Shir Nevo, Yael Goldfarb, & Jakub Abramson. (2019). Thymic epithelial cell heterogeneity: TEC by TEC. Nature reviews. Immunology. 20(4). 239–253. 114 indexed citations
10.
Bornstein, Chamutal, Shir Nevo, Amir Giladi, et al.. (2018). Single-cell mapping of the thymic stroma identifies IL-25-producing tuft epithelial cells. Nature. 559(7715). 622–626. 213 indexed citations
11.
Sheridan, Julie M., Antonia N. Policheni, Noa Rivlin, et al.. (2017). Thymospheres Are Formed by Mesenchymal Cells with the Potential to Generate Adipocytes, but Not Epithelial Cells. Cell Reports. 21(4). 934–942. 16 indexed citations
12.
Levy, Maayan, et al.. (2017). Quantitative analysis of protein-protein interactions and post-translational modifications in rare immune populations. Nature Communications. 8(1). 1524–1524. 27 indexed citations
13.
Goldfarb, Yael, Noam Kadouri, Ben Levi, et al.. (2016). HDAC3 Is a Master Regulator of mTEC Development. Cell Reports. 15(3). 651–665. 26 indexed citations
14.
Richards, David M., Michael Delacher, Yael Goldfarb, et al.. (2015). Treg Cell Differentiation: From Thymus to Peripheral Tissue. Progress in molecular biology and translational science. 136. 175–205. 45 indexed citations
15.
Giraud, Matthieu, Hideyuki Yoshida, Jakub Abramson, et al.. (2011). Aire unleashes stalled RNA polymerase to induce ectopic gene expression in thymic epithelial cells. Proceedings of the National Academy of Sciences. 109(2). 535–540. 123 indexed citations
16.
Abramson, Jakub, Matthieu Giraud, Christophe Benoıst, & Diane Mathis. (2010). Aire's Partners in the Molecular Control of Immunological Tolerance. Cell. 140(1). 123–135. 240 indexed citations
17.
Kuo, Alex, Peggie Cheung, Jakub Abramson, et al.. (2008). Aire employs a histone-binding module to mediate immunological tolerance, linking chromatin regulation with organ-specific autoimmunity. Proceedings of the National Academy of Sciences. 105(41). 15878–15883. 142 indexed citations
18.
Abramson, Jakub, et al.. (2005). Co-clustering activating and inhibitory receptors: Impact at varying expression levels of the latter. Immunology Letters. 104(1-2). 166–170. 3 indexed citations
19.
Abramson, Jakub, et al.. (2004). Stable knockdown of MAFA expression in RBL-2H3 cells by siRNA retrovirus-delivery system. Immunology Letters. 92(1-2). 179–184. 2 indexed citations
20.
Xu, Rong, Jakub Abramson, Mati Fridkin, & Israel Pecht. (2001). SH2 Domain-Containing Inositol Polyphosphate 5′-Phosphatase Is the Main Mediator of the Inhibitory Action of the Mast Cell Function-Associated Antigen. The Journal of Immunology. 167(11). 6394–6402. 53 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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