Robert T. Shebert

789 citations
11 papers · 543 · h-index 9

Impact in

Papers in

Robert T. Shebert

11 papers receiving 522 citations

Peers

Robert T. Shebert
Comparison fields: 5 of 70
  • Neurology 205
  • Cellular and Molecular Neuroscience 192
  • Pathology and Forensic Medicine 100
  • Epidemiology 132
  • Genetics 40
Replace Kenji Sekiguchi with:
Kenji Sekiguchi Japan
Guillaume Taïeb France
Shlomo Dotan Israel
Antônio Carlos Martins Maia Brazil
Karen Ma United States
Smith United States
Kenya Murata Japan
C. Lumenta Germany
Ham‐Min Tseng Taiwan
David Ozretić Croatia
Robert T. Shebert relative to Kenji Sekiguchi Japan Kenji Sekiguchi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert T. Shebert

Since Specialization
Citations

This map shows the geographic impact of Robert T. Shebert'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 T. Shebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert T. Shebert more than expected).

Fields of papers citing papers by Robert T. Shebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2000151
2 2004126
3 201881
4 198154
5 200332
6 200226
7 199824
8 199423
9 199623
10
Exacerbation of HIV-associated myopathy by zidovudine.
19912
11 20171

About Robert T. Shebert

Robert T. Shebert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Surgery and Epidemiology, having authored 11 papers that have together received 543 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Peripheral Neuropathies and Disorders (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Muscle Physiology and Disorders (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Nerve Injury and Rehabilitation (1 paper) and Hereditary Neurological Disorders (1 paper). The work is most often cited by research in Neurology (205 citations), Cellular and Molecular Neuroscience (192 citations), Pathology and Forensic Medicine (100 citations), Epidemiology (132 citations) and Genetics (40 citations). Robert T. Shebert has collaborated with scholars based in United States, France and Japan. Frequent co-authors include D. R. Ayyar, Walter G. Bradley, Khema R. Sharma, Francisco Tellechea Rotta, Steven Vanni, Allan D. Levi, Marca L. Sipski, X. Edward Guo, Michelle L. Hansman Whiteman and Anthony A. Amato. Their work appears in journals such as Neurology, Muscle & Nerve, Journal of Computer Assisted Tomography, The American Journal of Gastroenterology and Spinal Cord.

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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