Liat Orenstein

453 citations
10 papers · 150 · h-index 6

Impact in

Papers in

Liat Orenstein

10 papers receiving 147 citations

Peers

Liat Orenstein
Comparison fields: 5 of 52
  • Geriatrics and Gerontology 17
  • Pediatrics, Perinatology and Child Health 45
  • Statistics, Probability and Uncertainty 11
  • Toxicology 3
  • Public Health, Environmental and Occupational Health 19
Replace Catherine Chanfreau‐Coffinier with:
Catherine Chanfreau‐Coffinier United States
P Rys Poland
Anette Lampert Germany
Angela Ihbe‐Heffinger Germany
Donald Saner United States
S. Nikfar Iran
Narcyz Ghinea Australia
Mounir Al‐Gibbawi United States
Evelyn Flanagan Ireland
Sabine Kattenbeck Germany
Liat Orenstein relative to Catherine Chanfreau‐Coffinier United States Catherine Chanfreau‐Coffinier's profile →
Citations per field
00.5×
Catherine Chanfreau‐Coffinier · 1×
Citations per year

Countries citing papers authored by Liat Orenstein

Since Specialization
Citations

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

Fields of papers citing papers by Liat Orenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Liat Orenstein, 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 Orenstein Line = papers co-authored together Liat Orenstein links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201849
2 201748
3 201916
4 201813
5 20168
6 20237
7 20203
8 20242
9 20252
10 20192

About Liat Orenstein

Liat Orenstein is a scholar working on Pediatrics, Perinatology and Child Health, Geriatrics and Gerontology, Economics and Econometrics, Statistics, Probability and Uncertainty and Neurology, having authored 10 papers that have together received 150 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Pharmaceutical studies and practices (2 papers), Meta-analysis and systematic reviews (2 papers), Childhood Cancer Survivors' Quality of Life (1 paper), Pharmaceutical Economics and Policy (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Dental Health and Care Utilization (1 paper). The work is most often cited by research in Geriatrics and Gerontology (17 citations), Pediatrics, Perinatology and Child Health (45 citations), Statistics, Probability and Uncertainty (11 citations), Toxicology (3 citations) and Public Health, Environmental and Occupational Health (19 citations). Liat Orenstein has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Florence T. Bourgeois, Thomas J. Hwang, Aaron S. Kesselheim, John P. A. Ioannidis, Kenneth D. Mandl, Rachel Dankner, Angela Chetrit, Enrico Coiera, Steven G. DuBois and Katherine A. Janeway. Their work appears in journals such as Journal of the American Geriatrics Society, JAMA Pediatrics, Journal of Biomedical Informatics, Journal of Clinical Epidemiology and Mayo Clinic Proceedings.

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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