Lulu Y. Chen

3.1k citations
27 papers · 2.3k indexed · h-index 20

Lulu Y. Chen

26 papers receiving 2.2k citations

Peers

Lulu Y. Chen
Comparison fields: 5 of 97
  • Developmental Neuroscience 414
  • Cellular and Molecular Neuroscience 1.4k
  • Behavioral Neuroscience 238
  • Biological Psychiatry 79
  • Cognitive Neuroscience 605
Replace Kevin M. Woolfrey with:
Kevin M. Woolfrey United States
Eric F. Schmidt United States
Christopher S. Rex United States
Csaba Földy United States
Beatriz Rico Spain
Raphael Lamprecht Israel
Tania Vitalis France
Kelly A. Jones United States
Dilja Krueger‐Burg Germany
Gregory L. Lyford United States
Lulu Y. Chen relative to Kevin M. Woolfrey United States Kevin M. Woolfrey's profile →
Citations per field
00.5×1.5×
Kevin M. Woolfrey · 1×
Citations per year

Countries citing papers authored by Lulu Y. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lulu Y. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20235
3 202318
4 202319
5 202329
6 20231
7 201669
8 2015123
9 201333
10 201273
11 201294
12 2010171
13 201029
14 201056
15 2010118
16 2009227
17 200887
18 200856
19 2007204
20 2007232

About Lulu Y. Chen

Lulu Y. Chen is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 27 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (23 papers), Neurogenesis and neuroplasticity mechanisms (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Stress Responses and Cortisol (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Nerve injury and regeneration (4 papers), Neural dynamics and brain function (3 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Developmental Neuroscience (414 citations), Cellular and Molecular Neuroscience (1.4k citations) and Behavioral Neuroscience (238 citations). Lulu Y. Chen has collaborated with scholars based in United States, Bulgaria and Canada. Frequent co-authors include Gary Lynch, Christine M. Gall, Christopher S. Rex, Enikö A. Kramár, Christopher Rex, Alex H. Babayan, Julie C. Lauterborn, Malcolm Casale, Ching‐Yi Lin and Thomas C. Südhof. Their work appears in journals such as Journal of Neuroscience, Science Advances, Molecular Psychiatry, Neuron and The Journal of Cell Biology.

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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