Yelin Chen

1.7k citations
31 papers · 1.3k · h-index 19

Impact in

Papers in

Yelin Chen

30 papers receiving 1.3k citations

Peers

Yelin Chen
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 731
  • Biological Psychiatry 62
  • Catalysis 103
  • Developmental Neuroscience 52
  • Neurology 83
Replace Antonio Cortés with:
Antonio Cortés Spain
Laurent Ferron United Kingdom
Verónica de la Fuente Argentina
Ka Hung Lee United States
Michael Schmidt United States
Minghui Jiang China
Hiromi Sano Japan
Joji Nakamura Japan
Alain Boireau France
Yelin Chen relative to Antonio Cortés Spain Antonio Cortés's profile →
Citations per field
00.5×3.7×
Antonio Cortés · 1×
Citations per year

Countries citing papers authored by Yelin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yelin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009177
2 2016139
3 2006114
4 2013108
5 201480
6 200780
7 200775
8 200475
9 200658
10 201944
11 201932
12 201432
13 202330
14 202027
15 201923
16 201920
17 202120
18 202118
19 202318
20 202215

About Yelin Chen

Yelin Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Materials Chemistry, Catalysis and Renewable Energy, Sustainability and the Environment, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Receptor Mechanisms and Signaling (10 papers), Catalysis and Oxidation Reactions (5 papers), Catalytic Processes in Materials Science (5 papers), Photochromic and Fluorescence Chemistry (4 papers), Ion channel regulation and function (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Advanced Photocatalysis Techniques (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (731 citations), Biological Psychiatry (62 citations), Catalysis (103 citations), Developmental Neuroscience (52 citations) and Neurology (83 citations). Yelin Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include P. Jeffrey Conn, Morgan Sheng, Ruedee Hemstapat, Tomas de Paulis, Jean‐Philippe Pin, Cyril Goudet, Yongqin Zhang, Michelle Kim, Honor Hsin and Corwin D. Nelson. Their work appears in journals such as Molecular Pharmacology, Neuron, Scientific Reports, Journal of Neuroscience and International Journal of Hydrogen Energy.

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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