Cathy Vitelli

686 citations
8 papers · 547 · h-index 6

Impact in

Papers in

    • Mitochondrial Function and Pathology 3
    • Ubiquitin and proteasome pathways 2
    • Pluripotent Stem Cells Research 2
    • Histone Deacetylase Inhibitors Research 1
    • Genetic Neurodegenerative Diseases 2
    • Neuroscience and Neuropharmacology Research 1

Cathy Vitelli

8 papers receiving 544 citations

Peers

Cathy Vitelli
Comparison fields: 5 of 82
  • Aging 108
  • Endocrine and Autonomic Systems 46
  • Cellular and Molecular Neuroscience 94
  • Molecular Biology 333
  • Clinical Biochemistry 31
Replace Ashwin Sriram with:
Ashwin Sriram Germany
Koning Shen United States
Ryo Higuchi‐Sanabria United States
Sarah U. Tronnes United States
Pin‐Chao Liao United States
Gillian Groeger Ireland
John Morton United States
Courtney L. Klaips Germany
Danielle Crippen United States
Adrienne M. Wang United States
Cathy Vitelli relative to Ashwin Sriram Germany Ashwin Sriram's profile →
Citations per field
00.5×1.5×2.3×
Ashwin Sriram · 1×
Citations per year

Countries citing papers authored by Cathy Vitelli

Since Specialization
Citations

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

Fields of papers citing papers by Cathy Vitelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2012174
2 2011140
3 2011126
4 200942
5 200934
6 201322
7 20215
8
Endogenously EGFP-Labeled Mouse Embryonic Stem Cells.
20114

About Cathy Vitelli

Cathy Vitelli is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Animal Science and Zoology and Cell Biology, having authored 8 papers that have together received 547 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Ubiquitin and proteasome pathways (2 papers), Pluripotent Stem Cells Research (2 papers), Genetic Neurodegenerative Diseases (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Galectins and Cancer Biology (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Aging (108 citations), Endocrine and Autonomic Systems (46 citations), Cellular and Molecular Neuroscience (94 citations), Molecular Biology (333 citations) and Clinical Biochemistry (31 citations). Cathy Vitelli has collaborated with scholars based in United States, Hungary and Slovakia. Frequent co-authors include Martin D. Brand, Matthew J. Birket, Akos A. Gerencser, Martin Jastroch, David G. Nicholls, Christos Chinopoulos, Andrzej Swistowski, Danielle Crippen, David T. Madden and Adam L. Orr. Their work appears in journals such as Journal of Neuroscience, Molecular Neurodegeneration, Journal of Cell Science, Aging Cell and Toxicologic Pathology.

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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