Shahar Lev‐Ari

74 papers receiving 1.9k citations

Peers

Shahar Lev‐Ari
Comparison fields: 5 of 139
  • Molecular Medicine 462
  • Complementary and alternative medicine 153
  • Pharmacology 295
  • Pharmacology 108
  • Toxicology 39
Replace Gil Bar‐Sela with:
Gil Bar‐Sela Israel
Victoria Brown United Kingdom
Martha E. Boggs United States
Mohammad Bagherniya Iran
Kathleen C. Brown United States
Nagi B. Kumar United States
Jennifer Schneider Australia
Abdulkarim M. Meraya Saudi Arabia
Rizwan Ahmad Saudi Arabia
Mohammad Javad Hosseinzadeh‐Attar Iran
Shahar Lev‐Ari relative to Gil Bar‐Sela Israel Gil Bar‐Sela's profile →
Citations per field
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Gil Bar‐Sela · 1×
Citations per year

Countries citing papers authored by Shahar Lev‐Ari

Since Specialization
Citations

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

Fields of papers citing papers by Shahar Lev‐Ari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shahar Lev‐Ari. 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 Shahar Lev‐Ari. The network helps show where Shahar Lev‐Ari may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shahar Lev‐Ari, 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 Shahar Lev‐Ari Line = papers co-authored together Shahar Lev‐Ari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20249
4 202315
5 20232
6 20237
7 202141
8 20211
9 202039
10 201815
11 201549
12 20140
13 201417
14 201312
15 200954
16 200795
17 200714
18 200714
19 200653
20 20066

About Shahar Lev‐Ari

Shahar Lev‐Ari is a scholar working on Neuropsychology and Physiological Psychology, Complementary and alternative medicine, Molecular Medicine, Pharmacology and Clinical Psychology, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include COVID-19 and Mental Health (12 papers), Inflammatory mediators and NSAID effects (9 papers), Mindfulness and Compassion Interventions (9 papers), Complementary and Alternative Medicine Studies (8 papers), Resilience and Mental Health (7 papers), Curcumin's Biomedical Applications (6 papers), Cancer, Stress, Anesthesia, and Immune Response (5 papers) and Synthesis and biological activity (4 papers). The work is most often cited by research in Molecular Medicine (462 citations), Complementary and alternative medicine (153 citations), Pharmacology (295 citations), Pharmacology (108 citations) and Toxicology (39 citations). Shahar Lev‐Ari has collaborated with scholars based in Israel, United States and Ghana. Frequent co-authors include Akiva Vexler, Nadir Arber, Rami Ben‐Yosef, Ilan G. Ron, Alex Starr, Gideon Earon, Liron Berkovich, Diana Kazanov, Ludmila Strier and Dov Lichtenberg. Their work appears in journals such as Journal of Clinical Medicine, International Journal of Environmental Research and Public Health, Integrative Cancer Therapies, PLoS ONE and Frontiers in Psychology.

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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