Damián Kovalovsky

2.0k total citations
30 papers, 1.6k citations indexed

About

Damián Kovalovsky is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Damián Kovalovsky has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 14 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Damián Kovalovsky's work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers) and CAR-T cell therapy research (7 papers). Damián Kovalovsky is often cited by papers focused on Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers) and CAR-T cell therapy research (7 papers). Damián Kovalovsky collaborates with scholars based in United States, Argentina and Germany. Damián Kovalovsky's co-authors include Derek B. Sant’Angelo, Eduardo Arzt, Marcelo Páez-Pereda, Günter K. Stalla, Eric Alonzo, Robin M. Hobbs, Pier Paolo Pandolfi, Hye Jung Kim, Woelsung Yi and Kevin Chua and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Nature Immunology.

In The Last Decade

Damián Kovalovsky

30 papers receiving 1.6k citations

Peers

Damián Kovalovsky
Olivier Kassel Germany
Stephen Malin Sweden
Xueli Fan China
Michelle Krakowski Canada
Troy A. Baldwin Canada
Adam Krzystyniak Poland
Tanja Stoyan Germany
Isabelle Millet United States
Samuel García Netherlands
Olivier Kassel Germany
Damián Kovalovsky
Citations per year, relative to Damián Kovalovsky Damián Kovalovsky (= 1×) peers Olivier Kassel

Countries citing papers authored by Damián Kovalovsky

Since Specialization
Citations

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

Fields of papers citing papers by Damián Kovalovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damián Kovalovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Damián Kovalovsky. A scholar is included among the top collaborators of Damián Kovalovsky 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 Damián Kovalovsky. Damián Kovalovsky 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.
Krzyzanowska, Agata, Damián Kovalovsky, Hsin‐Ching Lin, et al.. (2022). Zbtb20 identifies and controls a thymus-derived population of regulatory T cells that play a role in intestinal homeostasis. Science Immunology. 7(71). eabf3717–eabf3717. 8 indexed citations
2.
Voynova, Elisaveta, Nga Voong Hawk, Francis A. Flomerfelt, et al.. (2022). Increased Activity of a NK-Specific CAR-NK Framework Targeting CD3 and CD5 for T-Cell Leukemias. Cancers. 14(3). 524–524. 18 indexed citations
3.
Kovalovsky, Damián, Elisaveta Voynova, Christoph Rader, et al.. (2021). Siglec-6 is a target for chimeric antigen receptor T-cell treatment of chronic lymphocytic leukemia. Leukemia. 35(9). 2581–2591. 21 indexed citations
4.
Allen, Clint, Sunmin Lee, Scott M. Norberg, et al.. (2019). Safety and clinical activity of PD-L1 blockade in patients with aggressive recurrent respiratory papillomatosis. Journal for ImmunoTherapy of Cancer. 7(1). 119–119. 41 indexed citations
5.
Zhang, Xianyu, Nicolas Bouladoux, Kangxin Jin, et al.. (2017). Zbtb1 controls NKp46+ ROR-gamma-T+ innate lymphoid cell (ILC3) development. Oncotarget. 8(34). 55877–55888. 5 indexed citations
6.
Kovalovsky, Damián, et al.. (2010). PLZF Induces the Spontaneous Acquisition of Memory/Effector Functions in T Cells Independently of NKT Cell-Related Signals. The Journal of Immunology. 184(12). 6746–6755. 72 indexed citations
7.
Erhard, Karl F., et al.. (2010). Ectopic T Cell Receptor-α Locus Control Region Activity in B Cells Is Suppressed by Direct Linkage to Two Flanking Genes at Once. PLoS ONE. 5(11). e15527–e15527. 3 indexed citations
8.
Kovalovsky, Damián, Mark Pezzano, Benjamin Ortiz, & Derek B. Sant’Angelo. (2010). A Novel TCR Transgenic Model Reveals That Negative Selection Involves an Immediate, Bim-Dependent Pathway and a Delayed, Bim-Independent Pathway. PLoS ONE. 5(1). e8675–e8675. 27 indexed citations
9.
Kovalovsky, Damián, Yu Yu, Marei Dose, et al.. (2009). β-Catenin/Tcf Determines the Outcome of Thymic Selection in Response to αβTCR Signaling. The Journal of Immunology. 183(6). 3873–3884. 25 indexed citations
10.
Stojakovic, Milica, Laura I. Salazar‐Fontana, Zohreh Tatari-Calderone, et al.. (2008). Adaptable TCR Avidity Thresholds for Negative Selection. The Journal of Immunology. 181(10). 6770–6778. 8 indexed citations
11.
Kovalovsky, Damián, Robin M. Hobbs, Woelsung Yi, et al.. (2008). The BTB–zinc finger transcriptional regulator PLZF controls the development of invariant natural killer T cell effector functions. Nature Immunology. 9(9). 1055–1064. 433 indexed citations
12.
Papapetrou, Eirini P., et al.. (2008). Harnessing endogenous miR-181a to segregate transgenic antigen receptor expression in developing versus post-thymic T cells in murine hematopoietic chimeras. Journal of Clinical Investigation. 119(1). 157–68. 54 indexed citations
13.
Kovalovsky, Damián, Marcelo Páez-Pereda, Marta Labeur, et al.. (2004). Nur77 induction and activation are necessary for interleukin‐1 stimulation of proopiomelanocortin in AtT‐20 corticotrophs. FEBS Letters. 563(1-3). 229–233. 20 indexed citations
14.
Refojo, Damián, Damián Kovalovsky, Juan I. Young, et al.. (2002). Increased splenocyte proliferative response and cytokine production in β-endorphin-deficient mice. Journal of Neuroimmunology. 131(1-2). 126–134. 23 indexed citations
15.
Páez-Pereda, Marcelo, Damián Kovalovsky, Úrsula Hopfner, et al.. (2001). Retinoic acid prevents experimental Cushing syndrome. Journal of Clinical Investigation. 108(8). 1123–1131. 158 indexed citations
16.
Arzt, Eduardo, Damián Kovalovsky, Lionel M. Igaz, et al.. (2000). Functional Cross‐talk among Cytokines, T‐Cell Receptor, and Glucocorticoid Receptor Transcriptional Activity and Action. Annals of the New York Academy of Sciences. 917(1). 672–677. 21 indexed citations
17.
Páez-Pereda, Marcelo, P. Lohrer, Damián Kovalovsky, et al.. (2000). Interleukin-6 is inhibited by glucocorticoids and stimulates ACTH secretion and POMC expression in human corticotroph pituitary adenomas. Experimental and Clinical Endocrinology & Diabetes. 108(3). 202–207. 44 indexed citations
18.
Kovalovsky, Damián. (2000). Molecular mechanisms and Th1/Th2 pathways in corticosteroid regulation of cytokine production. Journal of Neuroimmunology. 109(1). 23–29. 83 indexed citations
19.
Kovalovsky, Damián, Marcelo Páez-Pereda, Joachim Sauer, et al.. (1998). The Th1 and Th2 cytokines IFN-γ and IL-4 antagonize the inhibition of monocyte IL-1 receptor antagonist by glucocorticoids: involvement of IL-1. European Journal of Immunology. 28(7). 2075–2085. 17 indexed citations
20.
Kovalovsky, Damián, et al.. (1997). [Mechanisms of glucocorticoid sensitivity modulation by cytokines].. PubMed. 57(1). 75–80. 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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