Noga Sikron

19 total papers · 805 total citations
14 papers, 598 citations indexed

About

Noga Sikron is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Noga Sikron has authored 14 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Plant Science and 2 papers in Epidemiology. Recurrent topics in Noga Sikron's work include Plant Virus Research Studies (4 papers), Plant-Microbe Interactions and Immunity (2 papers) and Algal biology and biofuel production (2 papers). Noga Sikron is often cited by papers focused on Plant Virus Research Studies (4 papers), Plant-Microbe Interactions and Immunity (2 papers) and Algal biology and biofuel production (2 papers). Noga Sikron collaborates with scholars based in Israel, United States and France. Noga Sikron's co-authors include Aaron Fait, Albert Batushansky, Inna Khozin‐Goldberg, Sammy Boussiba, Nurith Porat, Ron Dagan, Z. Cohen, Yves Gibon, Zoran Nikoloski and Nadine Töpfer and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Bacteriology and The Plant Journal.

In The Last Decade

Noga Sikron

13 papers receiving 588 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Noga Sikron 322 233 133 123 47 14 598
Andrew MacKenzie 236 0.7× 77 0.3× 76 0.6× 70 0.6× 28 0.6× 28 536
Paramita Karmakar 130 0.4× 189 0.8× 76 0.6× 93 0.8× 16 0.3× 9 614
Gedson Rodrigues de Morais Lima 123 0.4× 172 0.7× 36 0.3× 110 0.9× 54 1.1× 11 510
Laurence Meslet‐Cladière 376 1.2× 146 0.6× 58 0.4× 92 0.7× 9 0.2× 23 693
Diana Lopes 192 0.6× 81 0.3× 169 1.3× 56 0.5× 31 0.7× 33 646
Jing-Iong Yang 352 1.1× 62 0.3× 32 0.2× 73 0.6× 16 0.3× 18 574
И. Д. Макаренкова 151 0.5× 79 0.3× 60 0.5× 62 0.5× 15 0.3× 33 534
Chantal Fernandes 181 0.6× 154 0.7× 20 0.2× 45 0.4× 16 0.3× 24 507
Badrish Soni 251 0.8× 91 0.4× 296 2.2× 39 0.3× 63 1.3× 17 620
Antonio González del Val 170 0.5× 220 0.9× 41 0.3× 69 0.6× 11 0.2× 10 671

Countries citing papers authored by Noga Sikron

Since Specialization
Citations

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

Fields of papers citing papers by Noga Sikron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noga Sikron

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

All Works

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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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