Joy S. Tea

2.2k citations
9 papers · 1.1k indexed · 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

Hit Papers

The mitochondrial deubiquitinase USP30 opposes parkin-mediated mitophagy 2014 · 646 citations
6462014202620182022200400600

Peers

Joy S. Tea
Comparison fields: 5 of 65
  • Epidemiology 676
  • Neurology 233
  • Molecular Biology 835
  • Cell Biology 161
  • Geriatrics and Gerontology 34
Replace Liliana Torosantucci with:
Liliana Torosantucci Italy
Aitor Martinez United Kingdom
Chiu-Hui Huang Taiwan
Yakup Batlevi United States
Eszter Zavodszky United Kingdom
Anita Schlierf United States
Ruth Rott Israel
Kristina Klupsch United Kingdom
Laura C. Bott United States
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-authorship network

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

9 of 9 papers shown
#Work
1 20225
2 2020108
3 202024
4 2015259
5 20146
6
The mitochondrial deubiquitinase USP30 opposes parkin-mediated mitophagy
Hit paper breakdown →
2014646
7 201410
8 201142
9 201029

About Joy S. Tea

Joy S. Tea is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Immunology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), Developmental Biology and Gene Regulation (4 papers), Autophagy in Disease and Therapy (3 papers), Ubiquitin and proteasome pathways (3 papers), Animal Behavior and Reproduction (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Mitochondrial Function and Pathology (2 papers) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Epidemiology (676 citations), Neurology (233 citations), Molecular Biology (835 citations), Cell Biology (161 citations) and Geriatrics and Gerontology (34 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, Corey E. Bakalarski, Qinghua Song, Morgan Sheng, Mike Reichelt, Liqun Luo and Joshua M. Baughman. Their work appears in journals such as Nature Cell Biology, Neural Development, Journal of Neuroscience, Development and Molecular Cell.

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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