Avishai Shemesh

1.7k total citations
21 papers, 685 citations indexed

About

Avishai Shemesh is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Avishai Shemesh has authored 21 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 5 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Avishai Shemesh's work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (7 papers) and Reproductive System and Pregnancy (3 papers). Avishai Shemesh is often cited by papers focused on Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (7 papers) and Reproductive System and Pregnancy (3 papers). Avishai Shemesh collaborates with scholars based in United States, Israel and Germany. Avishai Shemesh's co-authors include Angel Porgador, Irena Kaplanov, Ron N. Apte, Elena Voronov, Yaron Carmi, Charles A. Dinarello, Michael R. Shurin, Galina V. Shurin, Michael Brusilovsky and Kerry S. Campbell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

Avishai Shemesh

20 papers receiving 674 citations

Peers

Avishai Shemesh
Rami Lissilaa Switzerland
Lisa Göschl Austria
Wonyong Lee South Korea
Parisa Amjadi United Kingdom
Kory L. Alderson United States
Rami Lissilaa Switzerland
Avishai Shemesh
Citations per year, relative to Avishai Shemesh Avishai Shemesh (= 1×) peers Rami Lissilaa

Countries citing papers authored by Avishai Shemesh

Since Specialization
Citations

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

Fields of papers citing papers by Avishai Shemesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avishai Shemesh

This figure shows the co-authorship network connecting the top 25 collaborators of Avishai Shemesh. A scholar is included among the top collaborators of Avishai Shemesh 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 Avishai Shemesh. Avishai Shemesh 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.
Allain, Vincent, Janice Arakawa‐Hoyt, Avishai Shemesh, et al.. (2025). SYK negatively regulates ITAM-mediated human NK cell signaling and CD19-CAR NK cell efficacy. The Journal of Immunology. 214(3). 384–398. 1 indexed citations
2.
Shemesh, Avishai, Yapeng Su, Daniel R. Calabrese, et al.. (2022). Diminished cell proliferation promotes natural killer cell adaptive-like phenotype by limiting FcεRIγ expression. The Journal of Experimental Medicine. 219(11). 23 indexed citations
3.
Saigusa, Ryosuke, Jenifer Vallejo, Ahmad Alimadadi, et al.. (2022). Sex Differences in Coronary Artery Disease and Diabetes Revealed by scRNA-Seq and CITE-Seq of Human CD4+ T Cells. International Journal of Molecular Sciences. 23(17). 9875–9875. 11 indexed citations
4.
Shemesh, Avishai, Harry Pickering, Kole T. Roybal, & Lewis L. Lanier. (2022). Differential IL-12 signaling induces human natural killer cell activating receptor-mediated ligand-specific expansion. The Journal of Experimental Medicine. 219(8). 29 indexed citations
5.
Kundu, Kiran, Susmita Ghosh, Rhitajit Sarkar, et al.. (2019). Inhibition of the NKp44-PCNA Immune Checkpoint Using a mAb to PCNA. Cancer Immunology Research. 7(7). 1120–1134. 29 indexed citations
6.
Shemesh, Avishai, Kiran Kundu, Rami Yossef, et al.. (2018). NKp44-Derived Peptide Binds Proliferating Cell Nuclear Antigen and Mediates Tumor Cell Death. Frontiers in Immunology. 9. 1114–1114. 22 indexed citations
7.
Edri, Avishay, Avishai Shemesh, Muhammed Iraqi, et al.. (2018). The Ebola-Glycoprotein Modulates the Function of Natural Killer Cells. Frontiers in Immunology. 9. 1428–1428. 18 indexed citations
8.
Kaplanov, Irena, Yaron Carmi, Avishai Shemesh, et al.. (2018). Blocking IL-1β reverses the immunosuppression in mouse breast cancer and synergizes with anti–PD-1 for tumor abrogation. Proceedings of the National Academy of Sciences. 116(4). 1361–1369. 314 indexed citations
9.
Pazina, Tatiana, Avishai Shemesh, Michael Brusilovsky, Angel Porgador, & Kerry S. Campbell. (2017). Regulation of the Functions of Natural Cytotoxicity Receptors by Interactions with Diverse Ligands and Alterations in Splice Variant Expression. Frontiers in Immunology. 8. 369–369. 62 indexed citations
10.
Shemer‐Avni, Yonat, Kiran Kundu, Avishai Shemesh, et al.. (2017). Expression of NKp46 Splice Variants in Nasal Lavage Following Respiratory Viral Infection: Domain 1-Negative Isoforms Predominate and Manifest Higher Activity. Frontiers in Immunology. 8. 161–161. 11 indexed citations
11.
Shemesh, Avishai, Michael Brusilovsky, Kiran Kundu, et al.. (2017). Splice variants of human natural cytotoxicity receptors: novel innate immune checkpoints. Cancer Immunology Immunotherapy. 67(12). 1871–1883. 14 indexed citations
12.
Shemesh, Avishai, Marilou Shagan, Ron N. Apte, et al.. (2016). Natural Killer Receptor 1 Dampens the Development of Allergic Eosinophilic Airway Inflammation. PLoS ONE. 11(8). e0160779–e0160779. 9 indexed citations
13.
Shemesh, Avishai, Aleksandra Kugel, Naama Steiner, et al.. (2016). NKp44 and NKp30 splice variant profiles in decidua and tumor tissues: a comparative viewpoint. Oncotarget. 7(43). 70912–70923. 14 indexed citations
14.
Shemesh, Avishai, Michael Brusilovsky, Uzi Hadad, et al.. (2016). Survival in acute myeloid leukemia is associated with NKp44 splice variants. Oncotarget. 7(22). 32933–32945. 23 indexed citations
15.
Shemesh, Avishai, Dan Tirosh, Eyal Sheiner, et al.. (2015). First Trimester Pregnancy Loss and the Expression of Alternatively Spliced NKp30 Isoforms in Maternal Blood and Placental Tissue. Frontiers in Immunology. 6. 189–189. 16 indexed citations
16.
Yossef, Rami, Chamutal Gur, Avishai Shemesh, et al.. (2015). Targeting Natural Killer Cell Reactivity by Employing Antibody to NKp46: Implications for Type 1 Diabetes. PLoS ONE. 10(2). e0118936–e0118936. 21 indexed citations
17.
Rosental, Benyamin, Avishai Shemesh, Yona Kodman, et al.. (2015). Evaluation of purified natural killer cell functions in familial hemophagocytic lymphohistiocytosis. 2(4). 207–212. 1 indexed citations
18.
Brusilovsky, Michael, Limor Cohen, Rami Yossef, et al.. (2014). Regulation of natural cytotoxicity receptors by heparan sulfate proteoglycans in ‐cis: A lesson from NKp44. European Journal of Immunology. 45(4). 1180–1191. 30 indexed citations
19.
Shemesh, Avishai, Shahar Frenkel, Zhenya Ni, et al.. (2013). The Regulation Of Central Nervous System Acute Lymphoblastic Leukemia By Natural Killer Cells. Blood. 122(21). 1393–1393.
20.
Brusilovsky, Michael, Benyamin Rosental, Avishai Shemesh, Michael Y. Appel, & Angel Porgador. (2012). Human NK cell recognition of target cells in the prism of natural cytotoxicity receptors and their ligands. Journal of Immunotoxicology. 9(3). 267–274. 20 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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