Maya Shemesh

972 total citations · 1 hit paper
10 papers, 488 citations indexed

About

Maya Shemesh is a scholar working on Immunology, Infectious Diseases and Oncology. According to data from OpenAlex, Maya Shemesh has authored 10 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Infectious Diseases and 3 papers in Oncology. Recurrent topics in Maya Shemesh's work include interferon and immune responses (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Maya Shemesh is often cited by papers focused on interferon and immune responses (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Maya Shemesh collaborates with scholars based in Israel, Australia and Denmark. Maya Shemesh's co-authors include Gideon Schreiber, Daniel Harari, Chunlin Li, Ira Marton, Yinon Rudich, Mark G. Lewis, Orly Dym, Eyal Zoler, Robert A. Seder and Jiří Zahradník and has published in prestigious journals such as Journal of Molecular Biology, Neuropsychopharmacology and PLoS Pathogens.

In The Last Decade

Maya Shemesh

10 papers receiving 485 citations

Hit Papers

SARS-CoV-2 variant prediction and antiviral drug design a... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Shemesh Israel 8 287 153 113 35 34 10 488
Mami Okada Japan 11 320 1.1× 129 0.8× 45 0.4× 4 0.1× 37 1.1× 21 597
Maren Depke Germany 16 99 0.3× 271 1.8× 86 0.8× 10 0.3× 51 1.5× 26 552
Kiyoko Okamoto Japan 13 88 0.3× 98 0.6× 69 0.6× 47 1.3× 262 7.7× 20 480
Michael DeVeer Australia 7 67 0.2× 167 1.1× 282 2.5× 5 0.1× 86 2.5× 7 521
Hamid Salimi United States 12 286 1.0× 121 0.8× 126 1.1× 4 0.1× 83 2.4× 16 619
Miguel Otero United States 13 177 0.6× 200 1.3× 198 1.8× 5 0.1× 105 3.1× 24 614
Joao Correia United Kingdom 13 140 0.5× 159 1.0× 45 0.4× 16 0.5× 135 4.0× 23 676
Brandon Bullock United States 11 243 0.8× 64 0.4× 173 1.5× 6 0.2× 115 3.4× 16 617
Jingtao Lilue Portugal 11 83 0.3× 166 1.1× 128 1.1× 61 1.7× 145 4.3× 15 549
Xabier Bello Spain 12 136 0.5× 289 1.9× 12 0.1× 6 0.2× 47 1.4× 33 554

Countries citing papers authored by Maya Shemesh

Since Specialization
Citations

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

Fields of papers citing papers by Maya Shemesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Shemesh

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Shemesh. A scholar is included among the top collaborators of Maya 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 Maya Shemesh. Maya Shemesh 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.
Cohen‐Dvashi, Hadas, Jonathan J. Weinstein, Michael Katz, et al.. (2022). Anti-SARS-CoV-2 immunoadhesin remains effective against Omicron and other emerging variants of concern. iScience. 25(10). 105193–105193. 6 indexed citations
2.
Li, Chunlin, Ira Marton, Daniel Harari, et al.. (2022). Gelatin Stabilizes Nebulized Proteins in Pulmonary Drug Delivery against COVID-19. ACS Biomaterials Science & Engineering. 8(6). 2553–2563. 10 indexed citations
3.
Zahradník, Jiří, et al.. (2021). De novo developed protein binders mimicking Interferon lambda signaling. FEBS Journal. 289(9). 2672–2684. 5 indexed citations
4.
Shemesh, Maya, Turgut E. Aktepe, Joshua M. Deerain, et al.. (2021). SARS-CoV-2 suppresses IFNβ production mediated by NSP1, 5, 6, 15, ORF6 and ORF7b but does not suppress the effects of added interferon. PLoS Pathogens. 17(8). e1009800–e1009800. 84 indexed citations
5.
Zahradník, Jiří, Shir Marciano, Maya Shemesh, et al.. (2021). SARS-CoV-2 variant prediction and antiviral drug design are enabled by RBD in vitro evolution. Nature Microbiology. 6(9). 1188–1198. 230 indexed citations breakdown →
6.
Shemesh, Maya, Sara Löchte, Jacob Piehler, & Gideon Schreiber. (2021). IFNAR1 and IFNAR2 play distinct roles in initiating type I interferon–induced JAK-STAT signaling and activating STATs. Science Signaling. 14(710). eabe4627–eabe4627. 43 indexed citations
7.
Shemesh, Maya, et al.. (2019). CRISPR/Cas9-based Knockout Strategy Elucidates Components Essential for Type 1 Interferon Signaling in Human HeLa Cells. Journal of Molecular Biology. 431(17). 3324–3338. 24 indexed citations
8.
Frumin, Idan, Ofer Perl, Yaara Endevelt–Shapira, et al.. (2015). A social chemosignaling function for human handshaking. eLife. 4. 44 indexed citations
9.
Edelson, Micah, et al.. (2014). Opposing Effects of Oxytocin on Overt Compliance and Lasting Changes to Memory. Neuropsychopharmacology. 40(4). 966–973. 25 indexed citations
10.
Zadik, Zvi, et al.. (1980). The effect of inhibition of prostaglandin synthesis on free water and osmolar clearances in patients with hereditary nephrogenic diabetes insipidus.. PubMed. 1(1). 48–52. 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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