Shaul Lev

47 papers receiving 1.5k citations

Peers

Shaul Lev
Comparison fields: 5 of 116
  • Critical Care and Intensive Care Medicine 235
  • Nutrition and Dietetics 568
  • Molecular Medicine 149
  • Nephrology 155
  • Applied Microbiology and Biotechnology 38
Replace Atabak Najafi with:
Atabak Najafi Iran
Elisabeth De Waele Belgium
Björn Ellger Germany
María M. Martín Spain
Pierre Damas Belgium
Ivan Novák Czechia
Lionel Nace France
Gilles Dumoulin France
Kaijiang Yu China
R C Bone United States
Shaul Lev relative to Atabak Najafi Iran Atabak Najafi's profile →
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Citations per year

Countries citing papers authored by Shaul Lev

Since Specialization
Citations

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

Fields of papers citing papers by Shaul Lev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011355
2 2015168
3 2010128
4 2017104
5 200876
6 200469
7 200558
8 200952
9 200650
10 201147
11 200936
12 201036
13 200531
14 201531
15 199527
16 201424
17 201824
18 202123
19 201819
20 201219

About Shaul Lev

Shaul Lev is a scholar working on Critical Care and Intensive Care Medicine, Issues, ethics and legal aspects, Molecular Medicine, Nutrition and Dietetics and Pulmonary and Respiratory Medicine, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (10 papers), Hemodynamic Monitoring and Therapy (9 papers), Phonocardiography and Auscultation Techniques (7 papers), Nutrition and Health in Aging (7 papers), Intensive Care Unit Cognitive Disorders (5 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Respiratory Support and Mechanisms (5 papers) and Ultrasound in Clinical Applications (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (235 citations), Nutrition and Dietetics (568 citations), Molecular Medicine (149 citations), Nephrology (155 citations) and Applied Microbiology and Biotechnology (38 citations). Shaul Lev has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Pierre Singer, Jonathan Cohen, E Grozovski, Haim Shapiro, Mical Paul, Leonard Leibovici, Ronit Anbar, Michal Shalita-Chesner, M. Theilla and Zecharia Madar. Their work appears in journals such as Critical Care, Nutrition, Clinical Nutrition, The Journal of Maternal-Fetal & Neonatal Medicine and Intensive Care Medicine.

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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