Er‐Yun Chen

27 papers receiving 2.7k citations

Er‐Yun Chen's Hit Papers

Neurodegeneration Prevented by Lentiviral Vector Delivery of GDNF in Primate Models of Parkinson's Disease 2000 · 1.0k citations
1.0k0+8+17Years since publication2505007501000

Peers

Er‐Yun Chen
Comparison fields: 5 of 99
  • Developmental Neuroscience 547
  • Cellular and Molecular Neuroscience 1.6k
  • Neurology 799
  • Neurology 208
  • Behavioral Neuroscience 62
Replace Liza Leventhal with:
Liza Leventhal United States
Kazuhiro Shimazu Japan
Alcmène Chalazonitis United States
Gihan Tennekoon United States
Carlos Vicario‐Abejón Spain
Anne‐Laurence Boutillier France
Lars Klimaschewski Austria
Jerònia Lladó Spain
Simon S. Murray Australia
Rosanna Parlato Germany
Er‐Yun Chen relative to Liza Leventhal United States Liza Leventhal's profile →
Citations per field
00.5×1.5×2.2×
Liza Leventhal · 1×
Citations per year

Countries citing papers authored by Er‐Yun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Er‐Yun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Er‐Yun Chen. 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 Er‐Yun Chen. The network helps show where Er‐Yun Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neurodegeneration Prevented by Lentiviral Vector Delivery of GDNF in Primate Models of Parkinson's Disease
Hit paper breakdown →
20001006
2 1998233
3 1997233
4 2013192
5 2004186
6 1996152
7 2004110
8 201799
9 199984
10 199777
11 200067
12 200864
13 200352
14 199445
15 201329
16 200228
17 200027
18 201421
19 201020
20 199915

About Er‐Yun Chen

Er‐Yun Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Physiology and Pathology and Forensic Medicine, having authored 28 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nerve injury and regeneration (9 papers), Genetic Neurodegenerative Diseases (6 papers), Spine and Intervertebral Disc Pathology (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Neurological disorders and treatments (3 papers) and Dementia and Cognitive Impairment Research (3 papers). The work is most often cited by research in Developmental Neuroscience (547 citations), Cellular and Molecular Neuroscience (1.6k citations), Neurology (799 citations), Neurology (208 citations) and Behavioral Neuroscience (62 citations). Er‐Yun Chen has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Jeffrey H. Kordower, Jeffrey H. Kordower, Yaping Chu, Jodi L. McBride, Liza Leventhal, Dwaine F. Emerich, Shelley R. Winn, Marina E. Emborg, Jocelyne Bloch and Stéphane Palfi. Their work appears in journals such as The Journal of Comparative Neurology, Experimental Neurology, American Journal of Physical Medicine & Rehabilitation, Molecular Therapy and Journal of Pharmacology and Experimental Therapeutics.

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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