Liat Dassa

4.6k total citations · 2 hit papers
7 papers, 3.4k citations indexed

About

Liat Dassa is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Liat Dassa has authored 7 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Liat Dassa's work include Immune Cell Function and Interaction (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and T-cell and B-cell Immunology (3 papers). Liat Dassa is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and T-cell and B-cell Immunology (3 papers). Liat Dassa collaborates with scholars based in Israel, Croatia and Germany. Liat Dassa's co-authors include Ofer Mandelboim, Hrvoje Šimić, Zurit Levine, Hagit Achdout, Stipan Jonjić, Ofer Levy, Amit Novik, Jurica Arapović, Noam Stern‐Ginossar and Amir Toporik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Liat Dassa

7 papers receiving 3.2k citations

Hit Papers

The interaction of TIGIT with PVR and PVRL2 inhibits huma... 2009 2026 2014 2020 2009 2016 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liat Dassa Israel 6 857 818 552 519 235 7 3.4k
Masanao Yajima United States 14 679 0.8× 1.6k 2.0× 427 0.8× 299 0.6× 248 1.1× 25 3.9k
Yutaka Kobayashi Japan 43 835 1.0× 1.9k 2.3× 600 1.1× 504 1.0× 292 1.2× 425 6.9k
Amir Toporik Israel 11 704 0.8× 885 1.1× 504 0.9× 92 0.2× 115 0.5× 13 3.1k
Rebecca Lee United States 34 375 0.4× 1.3k 1.6× 549 1.0× 148 0.3× 336 1.4× 180 4.1k
Benjamin D. Singer United States 35 877 1.0× 1.2k 1.4× 168 0.3× 419 0.8× 403 1.7× 113 4.5k
Hrvoje Šimić Croatia 11 799 0.9× 526 0.6× 522 0.9× 71 0.1× 259 1.1× 15 3.0k
Heidi Ledford United States 42 551 0.6× 2.8k 3.4× 835 1.5× 320 0.6× 298 1.3× 514 7.3k
Noa Stanietsky Israel 5 1.2k 1.3× 592 0.7× 742 1.3× 72 0.1× 167 0.7× 5 3.2k
Jurica Arapović Bosnia and Herzegovina 16 949 1.1× 520 0.6× 527 1.0× 73 0.1× 467 2.0× 44 3.2k
Amit Novik Israel 8 642 0.7× 749 0.9× 489 0.9× 71 0.1× 115 0.5× 10 2.9k

Countries citing papers authored by Liat Dassa

Since Specialization
Citations

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

Fields of papers citing papers by Liat Dassa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liat Dassa

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

All Works

7 of 7 papers shown
1.
Kahlon, Shira, Liat Dassa, Natan Stein, et al.. (2023). CLPTM1L is a GPI-anchoring pathway component targeted by HCMV. The Journal of Cell Biology. 222(9). 2 indexed citations
2.
Seidel, Einat, Liat Dassa, Esther Oiknine‐Djian, et al.. (2021). The human cytomegalovirus protein UL147A downregulates the most prevalent MICA allele: MICA*008, to evade NK cell-mediated killing. PLoS Pathogens. 17(5). e1008807–e1008807. 14 indexed citations
3.
Seidel, Einat, Liat Dassa, Shira Kahlon, et al.. (2021). A slowly cleaved viral signal peptide acts as a protein-integral immune evasion domain. Nature Communications. 12(1). 2061–2061. 13 indexed citations
4.
Dassa, Liat, Einat Seidel, Esther Oiknine‐Djian, et al.. (2018). The Human Cytomegalovirus Protein UL148A Downregulates the NK Cell-Activating Ligand MICA To Avoid NK Cell Attack. Journal of Virology. 92(17). 32 indexed citations
5.
Vitenshtein, Alon, Yoav Charpak‐Amikam, Rachel Yamin, et al.. (2016). NK Cell Recognition of Candida glabrata through Binding of NKp46 and NCR1 to Fungal Ligands Epa1, Epa6, and Epa7. Cell Host & Microbe. 20(4). 527–534. 70 indexed citations
6.
Yosef, Reut, Noam Pilpel, Ronit Tokarsky-Amiel, et al.. (2016). Directed elimination of senescent cells by inhibition of BCL-W and BCL-XL. Nature Communications. 7(1). 11190–11190. 717 indexed citations breakdown →
7.
Stanietsky, Noa, Hrvoje Šimić, Jurica Arapović, et al.. (2009). The interaction of TIGIT with PVR and PVRL2 inhibits human NK cell cytotoxicity. Proceedings of the National Academy of Sciences. 106(42). 17858–17863. 2550 indexed citations breakdown →

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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