Lilach Cherry

681 citations
17 papers · 492 · h-index 9

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 11
    • SARS-CoV-2 detection and testing 3
    • Poxvirus research and outbreaks 2

Lilach Cherry

17 papers receiving 480 citations

Peers

Lilach Cherry
Comparison fields: 5 of 71
  • Infectious Diseases 294
  • Modeling and Simulation 43
  • Animal Science and Zoology 57
  • General Dentistry 8
  • Virology 17
Replace Rejane Maria Tommasini Grotto with:
Rejane Maria Tommasini Grotto Brazil
Kaiming Tao United States
Nadezhda A. Kuznetsova Russia
Sara Assadi United Kingdom
Valentin Leducq France
Lydia A. Krasilnikova United States
Edwards Pradenas Spain
Eva Mazzetto Italy
Inesa Hyseni Italy
Maria A. Nikiforova Russia
Lilach Cherry relative to Rejane Maria Tommasini Grotto Brazil Rejane Maria Tommasini Grotto's profile →
Citations per field
00.5×2×3.2×
Rejane Maria Tommasini Grotto · 1×
Citations per year

Countries citing papers authored by Lilach Cherry

Since Specialization
Citations

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

Fields of papers citing papers by Lilach Cherry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lilach Cherry, 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 Lilach Cherry Line = papers co-authored together Lilach Cherry links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2020183
2 202089
3 202158
4 202139
5 202135
6 202119
7 202310
8 202110
9 202210
10 20229
11 20197
12 20216
13 20225
14 20225
15 20223
16 20222
17 20242

About Lilach Cherry

Lilach Cherry is a scholar working on Infectious Diseases, Virology, Animal Science and Zoology, Molecular Biology and Epidemiology, having authored 17 papers that have together received 492 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Protein purification and stability (4 papers), SARS-CoV-2 detection and testing (3 papers), Animal Virus Infections Studies (2 papers), Poxvirus research and outbreaks (2 papers), Virus-based gene therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Infectious Diseases (294 citations), Modeling and Simulation (43 citations), Animal Science and Zoology (57 citations), General Dentistry (8 citations) and Virology (17 citations). Lilach Cherry has collaborated with scholars based in Israel, India and Finland. Frequent co-authors include Tomer Israely, Noam Erez, Nir Paran, Hagit Achdout, Sharon Melamed, Boaz Politi, Hadas Tamir, Edith Lupu, Einat B. Vitner and Yfat Yahalom-Ronen. Their work appears in journals such as Vaccines, Nature Communications, Vaccine, Clinical Microbiology and Infection and Molecules.

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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