Liat Lerner‐Geva
- Public Health, Environmental and Occupational Health top 0.5%
- Pediatrics, Perinatology and Child Health top 0.5%
- Reproductive Medicine top 0.2%
- Pulmonary and Respiratory Medicine top 5%
- Obstetrics and Gynecology top 0.5%
- Co-authors
- Valentina BoykoEli GevaJoseph B. LessingBrian ReichmanSaralee GlasserOrit Pinhas‐HamielTzvia BlumsteinBaruch Modan
- Topics
- Neonatal Respiratory Health Research (36 papers)Assisted Reproductive Technology and Twin Pregnancy (26 papers)Reproductive Biology and Fertility (22 papers)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Liat Lerner‐Geva
197 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 163
- Public Health, Environmental and Occupational Health 1.7k
- Pediatrics, Perinatology and Child Health 1.6k
- Reproductive Medicine 1.6k
- Pulmonary and Respiratory Medicine 788
- Obstetrics and Gynecology 766
Countries citing papers authored by Liat Lerner‐Geva
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).
Fields of papers citing papers by Liat Lerner‐Geva
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.
Co-authorship network of co-authors of Liat Lerner‐Geva
This figure shows the co-authorship network connecting the top 25 collaborators of Liat Lerner‐Geva. A scholar is included among the top collaborators of Liat Lerner‐Geva 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 Liat Lerner‐Geva. Liat Lerner‐Geva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 20 | |
| 5 | 14 | |
| 6 | 22 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 17 | |
| 10 | 48 | |
| 11 | 9 | |
| 12 | 27 | |
| 13 | 85 | |
| 14 | 10 | |
| 15 | 11 | |
| 16 | 22 | |
| 17 | 109 | |
| 18 | 54 | |
| 19 | 13 | |
| 20 | 21 |
About Liat Lerner‐Geva
Liat Lerner‐Geva is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 201 papers that have together received 5.9k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (36 papers), Assisted Reproductive Technology and Twin Pregnancy (26 papers) and Reproductive Biology and Fertility (22 papers). The work is most often cited by research in Reproductive Medicine (1.6k citations), Obstetrics and Gynecology (766 citations) and Pediatrics, Perinatology and Child Health (1.6k citations). Liat Lerner‐Geva has collaborated with scholars based in Israel, United States and Australia. Frequent 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. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.