Marilou Shagan

23 total papers · 841 total citations
15 papers, 394 citations indexed

About

Marilou Shagan is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Marilou Shagan has authored 15 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Marilou Shagan's work include SARS-CoV-2 detection and testing (5 papers), Pneumonia and Respiratory Infections (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Marilou Shagan is often cited by papers focused on SARS-CoV-2 detection and testing (5 papers), Pneumonia and Respiratory Infections (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Marilou Shagan collaborates with scholars based in Israel, United Kingdom and United States. Marilou Shagan's co-authors include Ron Dagan, Yaffa Mizrachi Nebenzahl, Maxim Portnoi, Ariel Kushmaro, Karin Yaniv, Angel Porgador, Lakkakula Satish, Vered Chalifa‐Caspi, Eden Ozer and Noga Givon‐Lavi and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Marilou Shagan

14 papers receiving 386 citations

Author Peers

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

Author Last Decade Papers Cites
Marilou Shagan 128 115 66 65 59 15 394
Zifang Shang 96 0.8× 82 0.7× 46 0.7× 85 1.3× 82 1.4× 19 392
Jun Jie Wong 132 1.0× 198 1.7× 36 0.5× 24 0.4× 58 1.0× 9 439
Caleb A. Ford 120 0.9× 170 1.5× 39 0.6× 28 0.4× 32 0.5× 19 416
Geunseon Park 125 1.0× 134 1.2× 120 1.8× 19 0.3× 51 0.9× 26 386
Wilson Antunes 101 0.8× 140 1.2× 91 1.4× 21 0.3× 36 0.6× 23 338
Ken-ichi Okuda 110 0.9× 214 1.9× 29 0.4× 24 0.4× 39 0.7× 16 412
Jingli Li 162 1.3× 207 1.8× 35 0.5× 19 0.3× 49 0.8× 18 400
Arvind Kumar Singh 103 0.8× 98 0.9× 69 1.0× 34 0.5× 32 0.5× 28 361
Shinichi Morimatsu 72 0.6× 56 0.5× 84 1.3× 41 0.6× 25 0.4× 11 361
José Antonio Carrillo-Ávila 92 0.7× 124 1.1× 23 0.3× 46 0.7× 54 0.9× 20 414

Countries citing papers authored by Marilou Shagan

Since Specialization
Citations

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

Fields of papers citing papers by Marilou Shagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marilou Shagan

This figure shows the co-authorship network connecting the top 25 collaborators of Marilou Shagan. A scholar is included among the top collaborators of Marilou Shagan 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 Marilou Shagan. Marilou Shagan 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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