Eric Chen

466 citations
14 papers · 172 · h-index 10

Impact in

Papers in

Eric Chen

13 papers receiving 172 citations

Peers

Eric Chen
Comparison fields: 5 of 54
  • Cellular and Molecular Neuroscience 42
  • Developmental Neuroscience 8
  • Pharmacology 19
  • Molecular Biology 77
  • Process Chemistry and Technology 3
Replace Nitika Monga with:
Nitika Monga India
Liangwei Mei China
Tomonori Yamauchi Japan
Megi Meneri Italy
Yusong Yuan China
Janne Koskimäki United States
Zijie Zhou China
Anu Varghese India
Christopher J. Panebianco United States
Ranjit K. Bhogal United Kingdom
Eric Chen relative to Nitika Monga India Nitika Monga's profile →
Citations per field
00.5×1.5×2.4×
Nitika Monga · 1×
Citations per year

Countries citing papers authored by Eric Chen

Since Specialization
Citations

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

Fields of papers citing papers by Eric Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201130
2 201725
3 201723
4 201515
5 201711
6 201711
7 202310
8 201810
9 201810
10 201910
11 20168
12 20188
13
Neurexin Family Member Contactin-Associated Protein Like-4 (CNTNAP4) is a specific cell membrane receptor of Neural EGFL Like 1 (NELL1)
20181
14 20250

About Eric Chen

Eric Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Pharmacology and Rheumatology, having authored 14 papers that have together received 172 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (2 papers), NF-κB Signaling Pathways (2 papers), TGF-β signaling in diseases (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Apelin-related biomedical research (2 papers), Bone and Joint Diseases (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (42 citations), Developmental Neuroscience (8 citations), Pharmacology (19 citations), Molecular Biology (77 citations) and Process Chemistry and Technology (3 citations). Eric Chen has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Kang Ting, Chia Soo, Xinli Zhang, Gary T. Rochelle, Darshan Sachde, Yue Zhang, Jia Shen, Yulong Zhang, Hsin Chuan Pan and Jin Hee Kwak. Their work appears in journals such as American Journal Of Pathology, International journal of greenhouse gas control, Plastic & Reconstructive Surgery, Brain Research and npj Microgravity.

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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