Yuncai Chen

5.4k citations
60 papers · 4.0k indexed · h-index 30

Yuncai Chen

57 papers receiving 3.9k citations

Peers

Yuncai Chen
Comparison fields: 5 of 128
  • Behavioral Neuroscience 2.2k
  • Biological Psychiatry 705
  • Developmental Neuroscience 529
  • Social Psychology 1.3k
  • Cellular and Molecular Neuroscience 1.1k
Replace Katharina Braun with:
Katharina Braun Germany
Tania L. Roth United States
Kristen L. Brunson United States
Wayne G. Brake Canada
Georgia E. Hodes United States
Benedetta Leuner United States
María I. Cordero Switzerland
Catherine J. Peña United States
Christoph Anacker United States
Mark S. Ansorge United States
Yuncai Chen relative to Katharina Braun Germany Katharina Braun's profile →
Citations per field
00.5×3.5×
Katharina Braun · 1×
Citations per year

Countries citing papers authored by Yuncai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuncai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20250
4 202416
5 20240
6 20243
7 20237
8 202314
9 202214
10 202126
11 202031
12 201929
13 201719
14 201639
15 201571
16 201368
17 2012110
18 2006100
19 200451
20
Distribution and age-related changes of AChE-positive fibers in rhesusmonkey hippocampal formation and cortex
19941

About Yuncai Chen

Yuncai Chen is a scholar working on Behavioral Neuroscience, Biological Psychiatry, Developmental Neuroscience, Cellular and Molecular Neuroscience and Social Psychology, having authored 60 papers that have together received 4.0k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (37 papers), Neuroscience and Neuropharmacology Research (19 papers), Neuroendocrine regulation and behavior (18 papers), Tryptophan and brain disorders (12 papers), Advanced Battery Materials and Technologies (9 papers), Advancements in Battery Materials (9 papers), Memory and Neural Mechanisms (7 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). The work is most often cited by research in Behavioral Neuroscience (2.2k citations), Biological Psychiatry (705 citations), Developmental Neuroscience (529 citations), Social Psychology (1.3k citations) and Cellular and Molecular Neuroscience (1.1k citations). Yuncai Chen has collaborated with scholars based in United States, China and Malaysia. Frequent co-authors include Tallie Z. Baram, Kristen L. Brunson, Céline Dubé, Gary Lynch, Roland A. Bender, Christine M. Gall, Mariam Eghbal-Ahmadi, Christopher S. Rex, Dimitri E. Grigoriadis and Michael Frotscher. Their work appears in journals such as Journal of Neuroscience, Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology, Brain Structure and Function and Biological Psychiatry.

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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