Merav Weil

999 citations
33 papers · 518 · h-index 13

Impact in

    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
  • Toxicology top 10%

Papers in

Merav Weil

31 papers receiving 509 citations

Peers

Merav Weil
Comparison fields: 5 of 74
  • Infectious Diseases 219
  • Toxicology 20
  • Cardiology and Cardiovascular Medicine 107
  • Modeling and Simulation 17
  • Hepatology 25
Replace Narayanan Sathish with:
Narayanan Sathish India
Wenkui Sun China
Sandra Li Belgium
Vasiliki Triantafyllia Greece
Juliane Doerrbecker Germany
Christin Peteranderl Germany
Long Hoàng United States
Sheng Cheng China
Merav Weil relative to Narayanan Sathish India Narayanan Sathish's profile →
Citations per field
00.5×10×12.5×
Narayanan Sathish · 1×
Citations per year

Countries citing papers authored by Merav Weil

Since Specialization
Citations

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

Fields of papers citing papers by Merav Weil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Merav Weil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Merav Weil Line = papers co-authored together Merav Weil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200483
2 202179
3 200638
4 202037
5 198534
6 202122
7 201421
8 201321
9 201620
10 201216
11 201715
12 202214
13 201612
14 202312
15 202211
16 201611
17 201210
18 20239
19 20179
20 20188

About Merav Weil

Merav Weil is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Epidemiology, Immunology and Molecular Biology, having authored 33 papers that have together received 518 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (18 papers), Viral gastroenteritis research and epidemiology (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), SARS-CoV-2 detection and testing (5 papers), Respiratory viral infections research (5 papers), Biosensors and Analytical Detection (2 papers), Influenza Virus Research Studies (2 papers) and Hepatitis Viruses Studies and Epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (219 citations), Toxicology (20 citations), Cardiology and Cardiovascular Medicine (107 citations), Modeling and Simulation (17 citations) and Hepatology (25 citations). Merav Weil has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Ella Mendelson, Danit Sofer, Michael Albeck, Benjamin Sredni, Michal Mandelboim, Orna Mor, Victoria Indenbaum, Lester M. Shulman, Itay Bar-Or and Oran Erster. Their work appears in journals such as Journal of Clinical Virology, Viruses, The Science of The Total Environment, Eurosurveillance and Vaccines.

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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