Lu Chen

16.8k total citations · 3 hit papers
336 papers, 12.2k citations indexed

About

Lu Chen is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Lu Chen has authored 336 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Electrical and Electronic Engineering, 84 papers in Cellular and Molecular Neuroscience and 68 papers in Molecular Biology. Recurrent topics in Lu Chen's work include Neuroscience and Neuropharmacology Research (57 papers), Neuroinflammation and Neurodegeneration Mechanisms (28 papers) and Advancements in Battery Materials (17 papers). Lu Chen is often cited by papers focused on Neuroscience and Neuropharmacology Research (57 papers), Neuroinflammation and Neurodegeneration Mechanisms (28 papers) and Advancements in Battery Materials (17 papers). Lu Chen collaborates with scholars based in China, United States and Canada. Lu Chen's co-authors include David S. Bredt, Shaowen Bao, Christine I. Nam, Roger A. Nicoll, Richard F. Thompson, Yoshimi Kawasaki, Ronald S. Petralia, Robert J. Wenthold, Jason Aoto and Michael M. Poon and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Lu Chen

315 papers receiving 12.0k citations

Hit Papers

Rapid Single-Step Induction of Functional N... 2000 2026 2008 2017 2013 2000 2002 250 500 750 1000

Peers

Lu Chen
Comparison fields: 5 of 200
  • Cellular and Molecular Neuroscience 5.5k
  • Molecular Biology 5.2k
  • Cognitive Neuroscience 1.8k
  • Neurology 1.8k
  • Electrical and Electronic Engineering 1.2k
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Citations per field, relative to Lu Chen
Lu Chen · 1×
Citations per year, relative to Lu Chen
Lu Chen · 1×

Countries citing papers authored by Lu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Chen. A scholar is included among the top collaborators of Lu Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lu Chen. Lu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 13
2 0
3 20
4 2
5 8
6 3
7 4
8 6
9 16
10 0
11 1
12 0
13 11
14 5
15 9
16 1
17 5
18
Anxiety-induced hyperalgesia in female rats is mediated by cholecystokinin 2 receptor in rostral ventromedial medulla and spinal 5-hydroxytryptamine 2B receptor
1
19 130
20 155

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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