Dalia Hillman

598 total citations
13 papers, 458 citations indexed

About

Dalia Hillman is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Dalia Hillman has authored 13 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 1 paper in Infectious Diseases and 1 paper in Molecular Biology. Recurrent topics in Dalia Hillman's work include Immune Response and Inflammation (11 papers), Immunotherapy and Immune Responses (10 papers) and T-cell and B-cell Immunology (7 papers). Dalia Hillman is often cited by papers focused on Immune Response and Inflammation (11 papers), Immunotherapy and Immune Responses (10 papers) and T-cell and B-cell Immunology (7 papers). Dalia Hillman collaborates with scholars based in Israel and United States. Dalia Hillman's co-authors include Raymond Kaempfer, Gila Arad, Revital Levy, Uri Barash, Tomer Shpilka, Adi Minis, William C. Blackwelder, Abdullah Chahin, S B March and Nicolas A. Parejo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and PLoS Biology.

In The Last Decade

Dalia Hillman

13 papers receiving 434 citations

Peers

Dalia Hillman
Yi Tian Ting Australia
Xianbao He United States
Z A Gillis United States
Angeline Tilly Dang United States
Shibali Das United States
Joshua Gillard Netherlands
Dalia Hillman
Citations per year, relative to Dalia Hillman Dalia Hillman (= 1×) peers Revital Levy

Countries citing papers authored by Dalia Hillman

Since Specialization
Citations

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

Fields of papers citing papers by Dalia Hillman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalia Hillman

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

All Works

13 of 13 papers shown
1.
Levy, Michal, Dalia Hillman, Revital Levy, et al.. (2023). The homodimer interfaces of costimulatory receptors B7 and CD28 control their engagement and pro-inflammatory signaling. Journal of Biomedical Science. 30(1). 49–49. 3 indexed citations
2.
Hillman, Dalia, et al.. (2019). Staphylococcal and Streptococcal Superantigens Trigger B7/CD28 Costimulatory Receptor Engagement to Hyperinduce Inflammatory Cytokines. Frontiers in Immunology. 10. 942–942. 21 indexed citations
4.
Levy, Revital, et al.. (2016). Superantigens hyperinduce inflammatory cytokines by enhancing the B7-2/CD28 costimulatory receptor interaction. Proceedings of the National Academy of Sciences. 113(42). E6437–E6446. 45 indexed citations
5.
Ramachandran, Girish, Raymond Kaempfer, Chun‐Shiang Chung, et al.. (2014). CD28 Homodimer Interface Mimetic Peptide Acts as a Preventive and Therapeutic Agent in Models of Severe Bacterial Sepsis and Gram-Negative Bacterial Peritonitis. The Journal of Infectious Diseases. 211(6). 995–1003. 30 indexed citations
6.
Kaempfer, Raymond, et al.. (2013). CD28: Direct and Critical Receptor for Superantigen Toxins. Toxins. 5(9). 1531–1542. 29 indexed citations
7.
Arad, Gila, Revital Levy, Dalia Hillman, et al.. (2011). Binding of Superantigen Toxins into the CD28 Homodimer Interface Is Essential for Induction of Cytokine Genes That Mediate Lethal Shock. PLoS Biology. 9(9). e1001149–e1001149. 104 indexed citations
8.
Arad, Gila, Revital Levy, Dalia Hillman, et al.. (2011). PS1-048 Binding of superantigen toxins into the CD28 homodimer interface is essential for induction of Th1 cytokine genes that mediate lethal shock. Cytokine. 56(1). 29–29. 1 indexed citations
9.
Arad, Gila, Dalia Hillman, Revital Levy, & Raymond Kaempfer. (2003). Broad-spectrum immunity against superantigens is elicited in mice protected from lethal shock by a superantigen antagonist peptide. Immunology Letters. 91(2-3). 141–145. 26 indexed citations
10.
Kaempfer, Raymond, Gila Arad, Revital Levy, & Dalia Hillman. (2002). Defense against biologic warfare with superantigen toxins.. PubMed. 4(7). 520–3. 18 indexed citations
11.
Arad, Gila, Dalia Hillman, Revital Levy, & Raymond Kaempfer. (2001). Superantigen antagonist blocks Th1 cytokine gene induction and lethal shock. Journal of Leukocyte Biology. 69(6). 921–927. 36 indexed citations
12.
Arad, Gila, Revital Levy, Dalia Hillman, & Raymond Kaempfer. (2000). Superantigen antagonist protects against lethal shock and defines a new domain for T-cell activation. Nature Medicine. 6(4). 414–421. 126 indexed citations
13.
Ratnam, Samuel, et al.. (1985). Hemolytic-uremic syndrome associated with verotoxin-producing Escherichia coli.. Europe PMC (PubMed Central). 133(1). 37–8. 9 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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