Robert S. Levy

27 papers receiving 711 citations

Peers

Robert S. Levy
Comparison fields: 5 of 79
  • Psychiatry and Mental health 244
  • Biological Psychiatry 32
  • Cellular and Molecular Neuroscience 181
  • Endocrinology, Diabetes and Metabolism 123
  • Cancer Research 92
Replace Jasmina B. Mačkić with:
Jasmina B. Mačkić United States
Siegfried Kösel Germany
Annett Häußler Germany
Sean A. McIsaac Canada
Luis González‐Feria Spain
Tiina Kotti Finland
Michael P. Honchar United States
Mabel Hokin-Neaverson United States
Afshin Safavi United States
P. Fernández‐Vizarra Spain
Robert S. Levy relative to Jasmina B. Mačkić United States Jasmina B. Mačkić's profile →
Citations per field
00.5×4.8×
Jasmina B. Mačkić · 1×
Citations per year

Countries citing papers authored by Robert S. Levy

Since Specialization
Citations

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

Fields of papers citing papers by Robert S. Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Robert S. 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 Robert S. Levy Line = papers co-authored together Robert S. Levy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977106
2 2003101
3 199568
4 199757
5 199848
6 200046
7 196737
8 200634
9 198831
10 198430
11 196828
12 196727
13 198620
14 195218
15 196216
16 196913
17 198813
18 196513
19 199111
20 196610

About Robert S. Levy

Robert S. Levy is a scholar working on Molecular Biology, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 755 indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (5 papers), Receptor Mechanisms and Signaling (4 papers), Glycosylation and Glycoproteins Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Renin-Angiotensin System Studies (3 papers), Ion channel regulation and function (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Psychiatry and Mental health (244 citations), Biological Psychiatry (32 citations), Cellular and Molecular Neuroscience (181 citations), Endocrinology, Diabetes and Metabolism (123 citations) and Cancer Research (92 citations). Robert S. Levy has collaborated with scholars based in United States and Russia. Frequent co-authors include Charles Day, Rif S. El‐Mallakh, David G. Changaris, James J. Miller, Mary O. Huff, Sarah Decker, Rena Li, Xiaoping Li, Gregory S. Schultz and Howard A. Bern. Their work appears in journals such as Journal of Lipid Research, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Biochemical and Biophysical Research Communications, Biochemistry and Journal of Theoretical Biology.

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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