Nir Treves

7 papers receiving 241 citations

Nir Treves's Hit Papers

Effect of combination treatment with glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors on incidence of cardiovascular and serious renal events: population based cohort study 2024 · 86 citations
860+1Years since publication255075

Peers

Nir Treves
Comparison fields: 5 of 39
  • Geriatrics and Gerontology 41
  • Endocrinology, Diabetes and Metabolism 60
  • Experimental and Cognitive Psychology 46
  • Pharmacology 38
  • Physical Therapy, Sports Therapy and Rehabilitation 15
Replace Suxing Shen with:
Suxing Shen China
Stephanie Litwack‐Harrison United States
Jiahui Yin China
Peter M. Magyari United States
Nina Zisko Norway
Kyoko Sano Japan
Hidetaka Nishikawa Japan
Ana Pablos Spain
Penny S. Shelton United States
Yixin Hu China
Nir Treves relative to Suxing Shen China Suxing Shen's profile →
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Countries citing papers authored by Nir Treves

Since Specialization
Citations

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

Fields of papers citing papers by Nir Treves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2017108
2
Effect of combination treatment with glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors on incidence of cardiovascular and serious renal events: population based cohort study
Hit paper breakdown →
202486
3 202129
4 202116
5 20229
6 20233
7 20231
8 20240

About Nir Treves

Nir Treves is a scholar working on Pharmacology, Geriatrics and Gerontology, Law, Endocrinology, Diabetes and Metabolism and Experimental and Cognitive Psychology, having authored 8 papers that have together received 252 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (4 papers), Sleep and related disorders (1 paper), Forensic and Genetic Research (1 paper), Legal processes and jurisprudence (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Diabetes Treatment and Management (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper) and Criminal Law and Evidence (1 paper). The work is most often cited by research in Geriatrics and Gerontology (41 citations), Endocrinology, Diabetes and Metabolism (60 citations), Experimental and Cognitive Psychology (46 citations), Pharmacology (38 citations) and Physical Therapy, Sports Therapy and Rehabilitation (15 citations). Nir Treves has collaborated with scholars based in Israel, United Kingdom and Canada. Frequent co-authors include Ilan Matok, Amichai Perlman, Christel Renoux, Hui Yin, Samy Suissa, Nikita Simms-Williams, Oriana Hoi Yun Yu, Laurent Azoulay, Richeek Pradhan and Matitiahu Berkovitch. Their work appears in journals such as International Journal of Cardiology, BMJ, Frontiers in Pharmacology, Journal of Forensic Sciences and Age and Ageing.

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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