Ran Levy

566 citations
22 papers · 426 · h-index 12

Impact in

Papers in

Ran Levy

21 papers receiving 424 citations

Peers

Ran Levy
Comparison fields: 5 of 96
  • Sensory Systems 53
  • Immunology 100
  • Nephrology 26
  • Molecular Biology 235
  • Physiology 9
Replace Sang-Yeob Kim with:
Sang-Yeob Kim South Korea
Yutaka Sugiyama Japan
Tengyue Zhang China
Brith Bergum Norway
Anita Maász Hungary
Norifumi Tatsumi Japan
Yang Cheng China
Atsushi Kohda Japan
Yi Lei China
Vincenzo Leo United Kingdom
Ran Levy relative to Sang-Yeob Kim South Korea Sang-Yeob Kim's profile →
Citations per field
00.5×2.9×
Sang-Yeob Kim · 1×
Citations per year

Countries citing papers authored by Ran Levy

Since Specialization
Citations

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

Fields of papers citing papers by Ran Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201068
2 201464
3 201041
4 201738
5 201433
6 201133
7 200731
8 201222
9 200819
10 201516
11 201815
12 200712
13 200910
14 20166
15
Leptin, ghrelin, and adiponectin in the metabolic adjustment to burn injury in children.
20144
16 20224
17 20133
18 20162
19 20202
20
Down-Regulation of Cardiac Erythropoietin Receptor and its Downstream Activated Signal Transducer Phospho-STAT-5 in a Rat Model of Chronic Kidney Disease.
20162

About Ran Levy

Ran Levy is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Surgery and Pathology and Forensic Medicine, having authored 22 papers that have together received 426 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (3 papers), Galectins and Cancer Biology (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Mitochondrial Function and Pathology (3 papers), Ion Channels and Receptors (2 papers), Mesenchymal stem cell research (2 papers), ATP Synthase and ATPases Research (2 papers) and Heat shock proteins research (2 papers). The work is most often cited by research in Sensory Systems (53 citations), Immunology (100 citations), Nephrology (26 citations), Molecular Biology (235 citations) and Physiology (9 citations). Ran Levy has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Yoel Kloog, Michal Entin‐Meer, Gad Keren, Shai Padeh, Zaki Kraiem, Yackov Berkun, Avraham Raz, Merav Lidar, Avi Livneh and Jeremy Ben‐Shoshan. Their work appears in journals such as PLoS ONE, American Journal of Nephrology, Molecular Cancer Therapeutics, Clinical Infectious Diseases and European Journal of Ophthalmology.

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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