Daniel Harari

2.8k total citations · 1 hit paper
33 papers, 2.0k citations indexed

About

Daniel Harari is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Daniel Harari has authored 33 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 11 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Daniel Harari's work include Cytokine Signaling Pathways and Interactions (11 papers), interferon and immune responses (9 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Daniel Harari is often cited by papers focused on Cytokine Signaling Pathways and Interactions (11 papers), interferon and immune responses (9 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Daniel Harari collaborates with scholars based in Israel, Germany and Switzerland. Daniel Harari's co-authors include Y Yarden, Gideon Schreiber, Yosef Yarden, Eldad Tzahar, Jan E. Romano, Maya Shelly, Doron Levin, Ami Citri, Sara Lavi and Maya Shemesh and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Daniel Harari

30 papers receiving 1.9k 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
Daniel Harari Israel 17 1.0k 672 395 335 319 33 2.0k
Chun Jeih Ryu South Korea 26 1.1k 1.1× 430 0.6× 337 0.9× 233 0.7× 92 0.3× 78 1.9k
Jon R. Wiener United States 21 981 1.0× 336 0.5× 351 0.9× 104 0.3× 289 0.9× 33 1.7k
Mark Egerton Australia 19 1.3k 1.3× 428 0.6× 732 1.9× 155 0.5× 174 0.5× 23 2.2k
Giuseppe Roscilli Italy 25 1.1k 1.0× 573 0.9× 157 0.4× 135 0.4× 201 0.6× 48 1.8k
James Greger United States 17 895 0.9× 615 0.9× 261 0.7× 95 0.3× 132 0.4× 28 1.5k
Braydon C. Guild United States 19 1.4k 1.4× 441 0.7× 539 1.4× 367 1.1× 97 0.3× 23 2.0k
Rémi Fagard France 30 1.0k 1.0× 922 1.4× 819 2.1× 236 0.7× 95 0.3× 72 2.6k
Li-Zhi Mi United States 20 1.5k 1.5× 597 0.9× 450 1.1× 379 1.1× 51 0.2× 30 2.6k
Eric Stawiski United States 22 1.2k 1.1× 292 0.4× 223 0.6× 80 0.2× 496 1.6× 34 2.1k
Mohammad Fallahi‐Sichani United States 19 1.1k 1.1× 338 0.5× 339 0.9× 68 0.2× 216 0.7× 29 1.8k

Countries citing papers authored by Daniel Harari

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Harari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Harari

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Harari. A scholar is included among the top collaborators of Daniel Harari 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 Daniel Harari. Daniel Harari 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.
Spaner, David, et al.. (2023). Paradoxical activation of chronic lymphocytic leukemia cells by ruxolitinib in vitro and in vivo. Frontiers in Oncology. 13. 1043694–1043694. 4 indexed citations
2.
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
3.
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 →
4.
Harari, Daniel, et al.. (2019). House of Commons Library: Briefing Paper Number 7484: 20 May 2019: Income inequality in the UK. Digital Education Resource Archive (University College London). 1 indexed citations
5.
Harari, Daniel, et al.. (2017). Interest Rates and Monetary Policy: Key Economic Indicators. 1 indexed citations
6.
Levin, Doron, et al.. (2015). Fine Tuning of a Type 1 Interferon Antagonist. PLoS ONE. 10(7). e0130797–e0130797. 7 indexed citations
7.
Harari, Daniel, Renne Abramovich, Alla L. Zozulya, et al.. (2014). Bridging the Species Divide: Transgenic Mice Humanized for Type-I Interferon Response. PLoS ONE. 9(1). e84259–e84259. 31 indexed citations
8.
Harari, Daniel, Renne Abramovich, Keren Sasson, et al.. (2014). 73. Cytokine. 70(1). 45–45. 1 indexed citations
9.
Harari, Daniel, Renne Abramovich, Keren Sasson, et al.. (2014). Enhanced in vivo efficacy of a long-life type I Interferon superagonist in a mouse model of multiple sclerosis. Journal of Neuroimmunology. 275(1-2). 219–219. 1 indexed citations
10.
Apelbaum, Amir, et al.. (2012). Type I Interferons Induce Apoptosis by Balancing cFLIP and Caspase-8 Independent of Death Ligands. Molecular and Cellular Biology. 33(4). 800–814. 54 indexed citations
11.
Levin, Doron, Daniel Harari, & Gideon Schreiber. (2011). Stochastic Receptor Expression Determines Cell Fate upon Interferon Treatment. Molecular and Cellular Biology. 31(16). 3252–3266. 84 indexed citations
12.
Moraga, Ignacio, Daniel Harari, Gideon Schreiber, Gilles Uzé, & Sandra Pellegrini. (2009). Receptor Density Is Key to the Alpha2/Beta Interferon Differential Activities. Molecular and Cellular Biology. 29(17). 4778–4787. 82 indexed citations
13.
Aflalo, Eliahu D., Anna Bakhrat, S. Raviv, et al.. (2006). Characterization of a vasa‐like gene from the pacific white shrimp Litopenaeus vannamei and its expression during oogenesis. Molecular Reproduction and Development. 74(2). 172–177. 47 indexed citations
14.
Citri, Ami, Daniel Harari, Galit Shohat-Ophir, et al.. (2006). Hsp90 Recognizes a Common Surface on Client Kinases. Journal of Biological Chemistry. 281(20). 14361–14369. 194 indexed citations
15.
Kochupurakkal, Bose, Daniel Harari, Galia Maik-Rachline, et al.. (2004). Epigen, the Last Ligand of ErbB Receptors, Reveals Intricate Relationships between Affinity and Mitogenicity. Journal of Biological Chemistry. 280(9). 8503–8512. 76 indexed citations
16.
Huotari, M.-A., Päivi J. Miettinen, Jaan Palgi, et al.. (2002). ErbB Signaling Regulates Lineage Determination of Developing Pancreatic Islet Cells in Embryonic Organ Culture. Endocrinology. 143(11). 4437–4446. 69 indexed citations
18.
Harari, Daniel & Y Yarden. (2000). Molecular mechanisms underlying ErbB2/HER2 action in breast cancer. Oncogene. 19(53). 6102–6114. 463 indexed citations
19.
Harari, Daniel, Ora Bernard, & Jillian M Shaw. (1997). Rescue of an infertile transgenic line by ovarian transplantation. 143–151. 5 indexed citations
20.
Harari, Daniel, David Finkelstein, & Ora Bernard. (1997). FGF plays a subtle role in oligodendrocyte maintenance in vivo. Journal of Neuroscience Research. 49(4). 404–415. 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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