Liat Linde

684 citations
7 papers · 520 · h-index 6

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering
    • Neurogenetic and Muscular Disorders Research

Papers in

Liat Linde

7 papers receiving 507 citations

Peers

Liat Linde
Comparison fields: 5 of 57
  • Molecular Biology 352
  • Genetics 46
  • Pulmonary and Respiratory Medicine 122
  • Genetics 62
  • Cell Biology 35
Replace Annie Rebibo-Sabbah with:
Annie Rebibo-Sabbah Israel
Alireza Baradaran‐Heravi Canada
Florence Borot United States
P. Wong United States
Yufeng Liu China
Beth Walters United States
Jayeeta Ghose United States
Pablo Domizi United States
Carl A. Mitchell United States
Zsuzsa Erdei Hungary
Liat Linde relative to Annie Rebibo-Sabbah Israel Annie Rebibo-Sabbah's profile →
Citations per field
00.5×3.3×
Annie Rebibo-Sabbah · 1×
Citations per year

Countries citing papers authored by Liat Linde

Since Specialization
Citations

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

Fields of papers citing papers by Liat Linde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Liat Linde, 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 Liat Linde Line = papers co-authored together Liat Linde links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2007233
2 2008157
3 2007104
4 201112
5 20236
6 20056
7 20242

About Liat Linde

Liat Linde is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases, Genetics and Endocrinology, having authored 7 papers that have together received 520 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers), Cystic Fibrosis Research Advances (3 papers), Amoebic Infections and Treatments (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Legionella and Acanthamoeba research (1 paper), Neonatal Respiratory Health Research (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (352 citations), Genetics (46 citations), Pulmonary and Respiratory Medicine (122 citations), Genetics (62 citations) and Cell Biology (35 citations). Liat Linde has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Batsheva Kerem, Andreas E. Kulozik, Gabriele Neu‐Yilik, Malka Nissim‐Rafinia, Eitan Kerem, Yifat S. Oren, Dov Virgilis, Michael Wilschanski, Matthew R. Chapman and Serge Ankri. Their work appears in journals such as European Journal of Human Genetics, Trends in Genetics, npj Biofilms and Microbiomes, Journal of Clinical Investigation and Clinical & Translational Oncology.

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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