Cornelia E. Zorca

670 citations
15 papers · 356 · h-index 10

Impact in

    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Ubiquitin and proteasome pathways
    • RNA and protein synthesis mechanisms

Papers in

    • Protein Degradation and Inhibitors 3
    • Ubiquitin and proteasome pathways 3
    • RNA and protein synthesis mechanisms 2
    • Autophagy in Disease and Therapy 4

Cornelia E. Zorca

15 papers receiving 355 citations

Peers

Cornelia E. Zorca
Comparison fields: 5 of 67
  • Aging 9
  • Molecular Biology 236
  • Physiology 78
  • Cancer Research 42
  • Neurology 40
Replace Thea L. Willis with:
Thea L. Willis United Kingdom
Jaime Martínez de Villarreal Spain
Vanessa Goyon Canada
Sarah–Fee Katz Germany
Kathryn Louie United States
Chihana Kabuta Japan
Sonia M. Dubois France
Matthew R. Hass United States
Emmanuelle Trinh France
Md. Helal Uddin Biswas United States
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Citations per field
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Citations per year

Countries citing papers authored by Cornelia E. Zorca

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia E. Zorca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cornelia E. Zorca. 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 Cornelia E. Zorca. The network helps show where Cornelia E. Zorca may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018111
2 201440
3 201639
4 202436
5 202225
6 201525
7 202220
8 202014
9 202012
10 202010
11 20229
12
The legacy of a founding father of modern cell biology: George Emil Palade (1912-2008).
20116
13 20205
14 20222
15 20222

About Cornelia E. Zorca

Cornelia E. Zorca is a scholar working on Molecular Biology, Epidemiology, Neurology, Oncology and Hematology, having authored 15 papers that have together received 356 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Protein Degradation and Inhibitors (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Ubiquitin and proteasome pathways (3 papers), Lysosomal Storage Disorders Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Cellular transport and secretion (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Aging (9 citations), Molecular Biology (236 citations), Physiology (78 citations), Cancer Research (42 citations) and Neurology (40 citations). Cornelia E. Zorca has collaborated with scholars based in Canada, United States and Egypt. Frequent co-authors include Mohamed A. Eldeeb, Daniel Zenklusen, Thomas Goiran, Edward A. Fon, Matthew R. Krause, Richard A. Flavell, Lark Kyun Kim, Thomas M. Durcan, Geneviève Huot and Lian Mignacca. Their work appears in journals such as BioEssays, Proceedings of the National Academy of Sciences, Nature Cell Biology, Current Protein and Peptide Science and Scientific Reports.

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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