Liat Orenstein

424 citations
10 papers · 142 · h-index 6

Impact in

Papers in

Liat Orenstein

10 papers receiving 139 citations

Peers

Liat Orenstein
Comparison fields: 5 of 59
  • Geriatrics and Gerontology 23
  • Pediatrics, Perinatology and Child Health 48
  • Statistics, Probability and Uncertainty 16
  • Neuropsychology and Physiological Psychology 3
  • Family Practice 4
Replace P Rys with:
P Rys Poland
Sheila McCorkindale United Kingdom
Anne d’Andon France
Mike Hallworth United Kingdom
M. Beck France
Ole Molskov Bech Denmark
Catherine F. Enters-Weijnen Netherlands
Catherine Chanfreau‐Coffinier United States
Nadia Khan Canada
Anne Trontell United States
Liat Orenstein relative to P Rys Poland P Rys's profile →
Citations per field
00.5×1.5×2.4×
P Rys · 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 201746
2 201844
3 201916
4 201813
5 20168
6 20237
7 20203
8 20252
9 20192
10 20241

About Liat Orenstein

Liat Orenstein is a scholar working on Economics and Econometrics, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Geriatrics and Gerontology and Statistics, Probability and Uncertainty, having authored 10 papers that have together received 142 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (5 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Pharmaceutical studies and practices (2 papers), Meta-analysis and systematic reviews (2 papers), Pharmaceutical Economics and Policy (2 papers), Neuroblastoma Research and Treatments (1 paper), Heart Failure Treatment and Management (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Geriatrics and Gerontology (23 citations), Pediatrics, Perinatology and Child Health (48 citations), Statistics, Probability and Uncertainty (16 citations), Neuropsychology and Physiological Psychology (3 citations) and Family Practice (4 citations). Liat Orenstein has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Florence T. Bourgeois, Thomas J. Hwang, Aaron S. Kesselheim, Kenneth D. Mandl, John P. A. Ioannidis, Rachel Dankner, Angela Chetrit, Adam G. Dunn, Steven G. DuBois and Katherine A. Janeway. Their work appears in journals such as Journal of the American Geriatrics Society, Nutrition and Cancer, JAMA Pediatrics, JNCI Journal of the National Cancer Institute and Journal of Biomedical Informatics.

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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