Liat Lerner‐Geva

199 papers and 5.6k indexed citations i.

About

Liat Lerner‐Geva is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Liat Lerner‐Geva has authored 199 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Pediatrics, Perinatology and Child Health, 55 papers in Public Health, Environmental and Occupational Health and 43 papers in Reproductive Medicine. Recurrent topics in Liat Lerner‐Geva’s work include Neonatal Respiratory Health Research (35 papers), Assisted Reproductive Technology and Twin Pregnancy (26 papers) and Reproductive Biology and Fertility (22 papers). Liat Lerner‐Geva is often cited by papers focused on Neonatal Respiratory Health Research (35 papers), Assisted Reproductive Technology and Twin Pregnancy (26 papers) and Reproductive Biology and Fertility (22 papers). Liat Lerner‐Geva collaborates with scholars based in Israel, United States and Australia. Liat Lerner‐Geva's co-authors include Valentina Boyko, Eli Geva, Joseph B. Lessing, Brian Reichman, Saralee Glasser, Orit Pinhas‐Hamiel, Tzvia Blumstein, Brian Reichman, Baruch Modan and Angela Chetrit and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Co-authorship network of co-authors of Liat Lerner‐Geva i

Fields of papers citing papers by Liat Lerner‐Geva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liat Lerner‐Geva

Since Specialization
Citations

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

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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