Liat Shbiro

1.1k total citations
18 papers, 815 citations indexed

About

Liat Shbiro is a scholar working on Pharmacology, Endocrine and Autonomic Systems and Physiology. According to data from OpenAlex, Liat Shbiro has authored 18 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 6 papers in Endocrine and Autonomic Systems and 6 papers in Physiology. Recurrent topics in Liat Shbiro's work include Cannabis and Cannabinoid Research (6 papers), Regulation of Appetite and Obesity (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Liat Shbiro is often cited by papers focused on Cannabis and Cannabinoid Research (6 papers), Regulation of Appetite and Obesity (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Liat Shbiro collaborates with scholars based in Israel, United States and Sweden. Liat Shbiro's co-authors include Aron Weller, Ran Abuhasira, Gal Shoval, Raphael Mechoulam, Gil Zalsman, Dvora Namdar, Sari Goldstein Ferber, Hinanit Koltai, Victor Novack and Lihi Bar‐Lev Schleider and has published in prestigious journals such as PLoS ONE, Behavioural Brain Research and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

Liat Shbiro

18 papers receiving 797 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Liat Shbiro Israel	12	583	146	135	118	118	18	815
Mallory Loflin United States	15	846 1.5×	109 0.7×	89 0.7×	109 0.9×	117 1.0×	24	968
Ronald Flegel United States	16	834 1.4×	164 1.1×	75 0.6×	97 0.8×	45 0.4×	32	968
Shanna Babalonis United States	17	728 1.2×	284 1.9×	78 0.6×	95 0.8×	93 0.8×	37	1.1k
Caroline A. MacCallum Canada	9	572 1.0×	91 0.6×	65 0.5×	100 0.8×	76 0.6×	21	689
Ani Gasparyan Spain	14	462 0.8×	251 1.7×	50 0.4×	107 0.9×	81 0.7×	31	792
Rachel Lees United Kingdom	11	541 0.9×	190 1.3×	51 0.4×	122 1.0×	130 1.1×	27	670
Eric P. Baron United States	12	468 0.8×	69 0.5×	93 0.7×	74 0.6×	230 1.9×	17	758
Franziska Pahlisch Germany	8	802 1.4×	352 2.4×	91 0.7×	183 1.6×	161 1.4×	10	906
Dino Zagic Australia	7	633 1.1×	126 0.9×	59 0.4×	94 0.8×	141 1.2×	11	811
Gráinne Schäfer United Kingdom	10	959 1.6×	372 2.5×	74 0.5×	254 2.2×	205 1.7×	12	1.1k

Countries citing papers authored by Liat Shbiro

Since Specialization

Citations

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

Fields of papers citing papers by Liat Shbiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liat Shbiro

This figure shows the co-authorship network connecting the top 25 collaborators of Liat Shbiro. A scholar is included among the top collaborators of Liat Shbiro 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 Shbiro. Liat Shbiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Meir, Amilia, Orit Itzhaki, Liat Shbiro, et al.. (2024). Improved CAR-T cell activity associated with increased mitochondrial function primed by galactose. Leukemia. 38(7). 1534–1540. 6 indexed citations

Itzhaky, Liat, et al.. (2023). Cognitive flexibility in inpatient children and adolescents with a history of suicide attempts. Psychiatry Research. 321. 115067–115067. 4 indexed citations

Ferber, Sari Goldstein, Dvora Namdar, Hinanit Koltai, et al.. (2019). The “Entourage Effect”: Terpenes Coupled with Cannabinoids for the Treatment of Mood Disorders and Anxiety Disorders. Current Neuropharmacology. 18(2). 87–96. 166 indexed citations

Abuhasira, Ran, et al.. (2018). Medical use of cannabis and cannabinoids containing products – Regulations in Europe and North America. European Journal of Internal Medicine. 49. 2–6. 177 indexed citations

Shbiro, Liat, et al.. (2018). Effects of cannabidiol in males and females in two different rat models of depression. Physiology & Behavior. 201. 59–63. 57 indexed citations

Amar, Sabrina, Liat Shbiro, Reem Smoum, et al.. (2018). Acute oral cannabidiolic acid methyl ester reduces depression-like behavior in two genetic animal models of depression. Behavioural Brain Research. 351. 1–3. 31 indexed citations

Newcorn, Jeffrey H., et al.. (2018). Characterizing the Placebo Response in Adults With ADHD. Journal of Attention Disorders. 24(3). 425–433. 7 indexed citations

Schleider, Lihi Bar‐Lev, et al.. (2018). Prospective analysis of safety and efficacy of medical cannabis in large unselected population of patients with cancer. European Journal of Internal Medicine. 49. 37–43. 146 indexed citations

Lotan, Amit, Gilly Wolf, Tzuri Lifschytz, et al.. (2017). The Effect of Chronic Stress on Weight And Hypothalamic Insulin And Melanocortin 4 Receptors In Young And old Female Mice. European Neuropsychopharmacology. 27. S412–S413. 3 indexed citations

10.

Shoval, Gal, et al.. (2016). Prohedonic Effect of Cannabidiol in a Rat Model of Depression. Neuropsychobiology. 73(2). 123–129. 84 indexed citations

11.

Zalsman, Gil, Aron Weller, Liat Shbiro, et al.. (2016). Fibre tract analysis using diffusion tensor imaging reveals aberrant connectivity in a rat model of depression. The World Journal of Biological Psychiatry. 18(8). 615–623. 12 indexed citations

12.

Zalsman, Gil, et al.. (2015). Genetic vulnerability, timing of short-term stress and mood regulation: A rodent diffusion tensor imaging study. European Neuropsychopharmacology. 25(11). 2075–2085. 15 indexed citations

13.

Taler, Michal, Rea Globus, Liat Shbiro, et al.. (2015). Attenuated Weight Gain with the Novel Analog of Olanzapine Linked to Sarcosinyl Moiety (PGW5) Compared to Olanzapine. Journal of Molecular Neuroscience. 58(1). 66–73. 1 indexed citations

14.

Schroeder, M., Liat Shbiro, Timothy H. Moran, & Aron Weller. (2010). Maternal Environmental Contribution to Adult Sensitivity and Resistance to Obesity in Long Evans Rats. PLoS ONE. 5(11). e13825–e13825. 10 indexed citations

15.

Schroeder, M., et al.. (2010). Post-weaning voluntary exercise exerts long-term moderation of adiposity in males but not in females in an animal model of early-onset obesity. Hormones and Behavior. 57(4-5). 496–505. 21 indexed citations

16.

Malkesman, Oz, Liat Shbiro, Abraham Goldstein, et al.. (2009). Monoamines, BDNF, Dehydroepiandrosterone, DHEA-Sulfate, and Childhood Depression—An Animal Model Study. Advances in Pharmacological Sciences. 2009. 1–11. 14 indexed citations

17.

Schroeder, M., Orna Zagoory‐Sharon, Liat Shbiro, et al.. (2009). Development of obesity in the Otsuka Long-Evans Tokushima Fatty rat. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 297(6). R1749–R1760. 44 indexed citations

18.

Schroeder, M., Liat Shbiro, Orna Zagoory‐Sharon, Timothy H. Moran, & Aron Weller. (2008). Toward an animal model of childhood-onset obesity: follow-up of OLETF rats during pregnancy and lactation. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 296(2). R224–R232. 17 indexed citations

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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