Joy S. Tea

2.2k citations
10 papers · 1.2k · 1 hit paper · h-index 7

Impact in

    • Autophagy in Disease and Therapy
  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Joy S. Tea

9 papers receiving 1.1k citations

Joy S. Tea's Hit Papers

The mitochondrial deubiquitinase USP30 opposes parkin-mediated mitophagy 2014 · 663 citations
6630+4+8Years since publication200400600

Peers

Joy S. Tea
Comparison fields: 5 of 64
  • Epidemiology 665
  • Neurology 226
  • Molecular Biology 829
  • Geriatrics and Gerontology 34
  • Cell Biology 163
Replace Liliana Torosantucci with:
Liliana Torosantucci Italy
Chiu-Hui Huang Taiwan
Yakup Batlevi United States
Brigit E. Riley United States
Rajat Puri India
Emily M. Lynes Canada
Eszter Zavodszky United Kingdom
Ruth Rott Israel
Anita Schlierf United States
Kristina Klupsch United Kingdom
Joy S. Tea relative to Liliana Torosantucci Italy Liliana Torosantucci's profile →
Citations per field
00.5×1.5×2.4×
Liliana Torosantucci · 1×
Citations per year

Countries citing papers authored by Joy S. Tea

Since Specialization
Citations

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

Fields of papers citing papers by Joy S. Tea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
The mitochondrial deubiquitinase USP30 opposes parkin-mediated mitophagy
Hit paper breakdown →
2014663
2 2015264
3 2020113
4 201143
5 201029
6 202024
7 201411
8 20146
9 20225
10 20240

About Joy S. Tea

Joy S. Tea is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Neurology and Physiology, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Neurobiology and Insect Physiology Research (3 papers), Autophagy in Disease and Therapy (3 papers), Developmental Biology and Gene Regulation (3 papers), Mitochondrial Function and Pathology (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Epidemiology (665 citations), Neurology (226 citations), Molecular Biology (829 citations), Geriatrics and Gerontology (34 citations) and Cell Biology (163 citations). Joy S. Tea has collaborated with scholars based in United States, France and Poland. Frequent co-authors include Baris Bingol, Donald S. Kirkpatrick, Lilian Phu, Oded Foreman, Morgan Sheng, Mike Reichelt, Qinghua Song, Corey E. Bakalarski, Liqun Luo and Mary Coons. Their work appears in journals such as Molecular Cell, Nature, Journal of Neuroscience, Neural Development and Cold Spring Harbor Protocols.

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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