Nor Chejanovsky

3.9k total citations
77 papers, 2.8k citations indexed

About

Nor Chejanovsky is a scholar working on Insect Science, Molecular Biology and Genetics. According to data from OpenAlex, Nor Chejanovsky has authored 77 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Insect Science, 40 papers in Molecular Biology and 39 papers in Genetics. Recurrent topics in Nor Chejanovsky's work include Insect and Pesticide Research (32 papers), Insect Resistance and Genetics (24 papers) and Viral Infectious Diseases and Gene Expression in Insects (21 papers). Nor Chejanovsky is often cited by papers focused on Insect and Pesticide Research (32 papers), Insect Resistance and Genetics (24 papers) and Viral Infectious Diseases and Gene Expression in Insects (21 papers). Nor Chejanovsky collaborates with scholars based in Israel, United States and France. Nor Chejanovsky's co-authors include Barrie J. Carter, Victoria Soroker, Edward Gershburg, Orlando Yañez, Joachim R. de Miranda, Anne Dalmon, Michael Gurevitz, Abraham Loyter, Yipeng Qi and Noa Sela and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and PLoS ONE.

In The Last Decade

Nor Chejanovsky

76 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nor Chejanovsky Israel 32 1.7k 1.6k 1.1k 1.0k 382 77 2.8k
Monique M. van Oers Netherlands 33 1.7k 1.0× 639 0.4× 2.4k 2.2× 310 0.3× 557 1.5× 139 3.7k
Don Stoltz Canada 29 1.4k 0.8× 526 0.3× 688 0.6× 350 0.3× 815 2.1× 47 2.2k
R. D. Possee United Kingdom 23 725 0.4× 507 0.3× 2.2k 2.0× 170 0.2× 240 0.6× 31 2.7k
Brian Shiels United Kingdom 33 898 0.5× 224 0.1× 892 0.8× 1.0k 1.0× 262 0.7× 107 3.3k
Jean‐Michel Drezen France 35 2.4k 1.4× 483 0.3× 843 0.8× 344 0.3× 1.4k 3.6× 74 3.2k
M D Summers United States 36 1.3k 0.8× 702 0.4× 3.4k 3.1× 131 0.1× 813 2.1× 51 4.2k
Sirlei Daffre Brazil 37 1.1k 0.7× 286 0.2× 1.2k 1.1× 456 0.4× 216 0.6× 80 3.5k
Robert R. Granados United States 37 2.0k 1.2× 625 0.4× 3.6k 3.3× 143 0.1× 800 2.1× 105 4.4k
Carlos Termignoni Brazil 26 621 0.4× 198 0.1× 541 0.5× 446 0.4× 321 0.8× 73 2.0k
Loy E. Volkman United States 39 2.0k 1.2× 659 0.4× 3.7k 3.4× 100 0.1× 489 1.3× 78 4.2k

Countries citing papers authored by Nor Chejanovsky

Since Specialization
Citations

This map shows the geographic impact of Nor Chejanovsky'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 Nor Chejanovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nor Chejanovsky more than expected).

Fields of papers citing papers by Nor Chejanovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nor Chejanovsky. 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 Nor Chejanovsky. The network helps show where Nor Chejanovsky may publish in the future.

Co-authorship network of co-authors of Nor Chejanovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Nor Chejanovsky. A scholar is included among the top collaborators of Nor Chejanovsky 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 Nor Chejanovsky. Nor Chejanovsky 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.
Daughenbaugh, Katie F., Achik Dorchin, Michelle L. Flenniken, et al.. (2025). Virus distributions in wild bees are associated with floral communities at local to landscape scales. Ecological Applications. 35(7). e70133–e70133.
2.
Chejanovsky, Nor, et al.. (2024). Ontogeny of immunity and natural viral infection in Apis mellifera drones and workers. Journal of Invertebrate Pathology. 205. 108124–108124. 3 indexed citations
3.
Daughenbaugh, Katie F., Charles C. Carey, Alexander J. McMenamin, et al.. (2021). Metatranscriptome Analysis of Sympatric Bee Species Identifies Bee Virus Variants and a New Virus, Andrena-Associated Bee Virus-1. Viruses. 13(2). 291–291. 20 indexed citations
4.
Henriques, Dora, Nor Chejanovsky, Anne Dalmon, et al.. (2021). Mitochondrial and nuclear diversity of colonies of varying origins: contrasting patterns inferred from the intergenic tRNAleu-cox2 region and immune SNPs. Journal of Apicultural Research. 61(3). 305–308. 5 indexed citations
5.
Sela, Noa, et al.. (2019). New Viruses from the Ectoparasite Mite Varroa destructor Infesting Apis mellifera and Apis cerana. Viruses. 11(2). 94–94. 42 indexed citations
6.
Martín‐Hernández, Raquel, Carolina Bartolomé, Nor Chejanovsky, et al.. (2018). Nosema ceranae in Apis mellifera : a 12 years postdetection perspective. Environmental Microbiology. 20(4). 1302–1329. 155 indexed citations
7.
Vollmann, Jutta, et al.. (2017). Protein nutrition governs within-host race of honey bee pathogens. Scientific Reports. 7(1). 14988–14988. 50 indexed citations
8.
Sela, Noa, et al.. (2016). Two novel viruses associated with the Apis mellifera pathogenic mite Varroa destructor. Scientific Reports. 6(1). 37710–37710. 47 indexed citations
9.
Chejanovsky, Nor, et al.. (2014). Characterization of viral siRNA populations in honey bee colony collapse disorder. Virology. 454-455. 176–183. 59 indexed citations
10.
11.
Dombrovsky, Aviv, et al.. (2006). Characterization of RR-1 and RR-2 cuticular proteins from Myzus persicae. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 146(2). 256–264. 20 indexed citations
12.
Liu, Qin, et al.. (2005). Spodoptera littoralis caspase-1, a Lepidopteran effector caspase inducible by apoptotic signaling. APOPTOSIS. 10(4). 787–795. 36 indexed citations
13.
Thiem, Suzanne M. & Nor Chejanovsky. (2004). The role of baculovirus apoptotic suppressors in AcMNPV-mediated translation arrest in Ld652Y cells. Virology. 319(2). 292–305. 18 indexed citations
14.
Regev, Avital, Bora İnceoğlu, Edward Gershburg, et al.. (2003). Further enhancement of baculovirus insecticidal efficacy with scorpion toxins that interact cooperatively. FEBS Letters. 537(1-3). 106–110. 45 indexed citations
15.
Huang, Qihong, et al.. (2002). Characterization of the Apoptosis Suppressor Protein P49 from the Spodoptera littoralisNucleopolyhedrovirus. Journal of Biological Chemistry. 277(50). 48677–48684. 52 indexed citations
16.
Zoog, Stephen J., Jennifer Schiller, Justin Wetter, Nor Chejanovsky, & Paul D. Friesen. (2002). Baculovirus apoptotic suppressor P49 is a substrate inhibitor of initiator caspases resistant to P35 in vivo. The EMBO Journal. 21(19). 5130–5140. 78 indexed citations
17.
Bernocco, Simonetta, B. Font, D. Eichenberger, et al.. (2001). Folding and activity of recombinant human procollagen C‐proteinase enhancer. European Journal of Biochemistry. 268(10). 2991–2996. 35 indexed citations
18.
Koltai, Hinanit, Nor Chejanovsky, B. Raccah, & Y. Spiegel. (1997). The first isolated collagen gene of the root-knot nematode Meloidogyne javanica is developmentally regulated. Gene. 196(1-2). 191–199. 15 indexed citations
19.
Chejanovsky, Nor & Barrie J. Carter. (1989). Replication of a human parvovirus nonsense mutant in mammalian cells containing an inducible amber suppressor. Virology. 171(1). 239–247. 47 indexed citations
20.
Chejanovsky, Nor & Abraham Loyter. (1985). Fusion between Sendai virus envelopes and biological membranes. The use of fluorescent probes for quantitative estimation of virus-membrane fusion.. Journal of Biological Chemistry. 260(13). 7911–7918. 39 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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