Iris Hecht

566 total citations
10 papers, 422 citations indexed

About

Iris Hecht is a scholar working on Immunology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, Iris Hecht has authored 10 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Immunology and Allergy and 3 papers in Molecular Biology. Recurrent topics in Iris Hecht's work include Cell Adhesion Molecules Research (5 papers), Immune Response and Inflammation (2 papers) and Neuropeptides and Animal Physiology (2 papers). Iris Hecht is often cited by papers focused on Cell Adhesion Molecules Research (5 papers), Immune Response and Inflammation (2 papers) and Neuropeptides and Animal Physiology (2 papers). Iris Hecht collaborates with scholars based in Israel and United States. Iris Hecht's co-authors include Ofer Lider, Rami Hershkoviz, Liora Cahalon, Alexander Brill, Hagai Schor, Gayle G. Vaday, Uri Sela, Galit Rotman, Yossi Cohen and Ronen Shemesh and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Iris Hecht

10 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iris Hecht Israel 10 162 155 66 51 51 10 422
Nao Saito Japan 11 195 1.2× 104 0.7× 74 1.1× 30 0.6× 18 0.4× 28 508
Daniel DiSepio United States 11 431 2.7× 140 0.9× 75 1.1× 87 1.7× 31 0.6× 14 744
Sathish Kumar Maney Germany 8 216 1.3× 103 0.7× 117 1.8× 54 1.1× 56 1.1× 9 425
Betsy N. Perry United States 8 199 1.2× 129 0.8× 94 1.4× 36 0.7× 20 0.4× 8 450
Astrid Evers Germany 7 170 1.0× 50 0.3× 117 1.8× 32 0.6× 76 1.5× 7 421
Chikako Odaka Japan 11 229 1.4× 185 1.2× 84 1.3× 53 1.0× 30 0.6× 17 508
Joon Hyeok Kwak United States 10 307 1.9× 96 0.6× 57 0.9× 54 1.1× 11 0.2× 20 568
Qiaoling Liang United States 11 230 1.4× 256 1.7× 74 1.1× 45 0.9× 56 1.1× 21 621
D. E. Gennaro United States 9 250 1.5× 109 0.7× 86 1.3× 71 1.4× 26 0.5× 11 502
Smarajit Bandyopadhyay United States 14 582 3.6× 210 1.4× 93 1.4× 31 0.6× 36 0.7× 19 774

Countries citing papers authored by Iris Hecht

Since Specialization
Citations

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

Fields of papers citing papers by Iris Hecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Hecht

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

All Works

10 of 10 papers shown
1.
Podojil, Joseph R., Iris Hecht, Ilan Vaknin, et al.. (2018). ILDR2-Fc Is a Novel Regulator of Immune Homeostasis and Inducer of Antigen-Specific Immune Tolerance. The Journal of Immunology. 200(6). 2013–2024. 15 indexed citations
2.
Hecht, Iris, Rong Jiang, André Luiz Franco Sampaio, et al.. (2008). A Novel Peptide Agonist of Formyl-Peptide Receptor-Like 1 (ALX) Displays Anti-Inflammatory and Cardioprotective Effects. Journal of Pharmacology and Experimental Therapeutics. 328(2). 426–434. 49 indexed citations
3.
Shemesh, Ronen, Amir Toporik, Zurit Levine, et al.. (2008). Discovery and Validation of Novel Peptide Agonists for G-protein-coupled Receptors. Journal of Biological Chemistry. 283(50). 34643–34649. 62 indexed citations
4.
Leiba, Merav, Liora Cahalon, Avichai Shimoni, et al.. (2006). Halofuginone inhibits NF-κB and p38 MAPK in activated T cells. Journal of Leukocyte Biology. 80(2). 399–406. 36 indexed citations
5.
Hecht, Iris, Rami Hershkoviz, Shoham Shivtiel, et al.. (2004). Heparin-disaccharide affects T cells: inhibition of NF-κB activation, cell migration, and modulation of intracellular signaling. Journal of Leukocyte Biology. 75(6). 1139–1146. 26 indexed citations
7.
Zanin‐Zhorov, Alexandra, Rami Hershkoviz, Iris Hecht, Liora Cahalon, & Ofer Lider. (2003). Fibronectin-Associated Fas Ligand Rapidly Induces Opposing and Time-Dependent Effects on the Activation and Apoptosis of T Cells. The Journal of Immunology. 171(11). 5882–5889. 10 indexed citations
8.
9.
Vaday, Gayle G., Hagai Schor, Iris Hecht, et al.. (2001). Combinatorial signals by inflammatory cytokines and chemokines mediate leukocyte interactions with extracellular matrix. Journal of Leukocyte Biology. 69(6). 885–892. 114 indexed citations
10.
Hershkoviz, Rami, Hagai Schor, Amiram Ariel, et al.. (2000). Disaccharides generated from heparan sulphate or heparin modulate chemokine‐induced T‐cell adhesion to extracellular matrix. Immunology. 99(1). 87–93. 17 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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