Da Chun Chen

73 papers receiving 2.6k citations

Peers

Da Chun Chen
Comparison fields: 5 of 101
  • Biological Psychiatry 1.1k
  • Behavioral Neuroscience 497
  • Psychiatry and Mental health 964
  • Developmental Neuroscience 249
  • Cellular and Molecular Neuroscience 717
Replace Mei Hong Xiu with:
Mei Hong Xiu China
Hikaru Hori Japan
Paulo Belmonte‐de‐Abreu Brazil
Tanja Maria Michel Germany
Luisella Bocchio‐Chiavetto Italy
Atsuko Ikenouchi Japan
Giacomo Salvadore United States
Maurício Kunz Brazil
Stefania Bonaccorso United Kingdom
Katherine A. Collins United States
Da Chun Chen relative to Mei Hong Xiu China Mei Hong Xiu's profile →
Citations per field
00.5×1.5×
Mei Hong Xiu · 1×
Citations per year

Countries citing papers authored by Da Chun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Da Chun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202115
2 202015
3 202010
4 20168
5 201525
6 201416
7 20148
8 201446
9 201329
10 201254
11 201242
12 201292
13 201117
14 201119
15 201038
16 201038
17 200930
18 200917
19 2009147
20 200833

About Da Chun Chen

Da Chun Chen is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Psychiatry and Mental health, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 73 papers that have together received 2.7k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (38 papers), Tryptophan and brain disorders (29 papers), Stress Responses and Cortisol (15 papers), Bipolar Disorder and Treatment (13 papers), Nerve injury and regeneration (12 papers), Autism Spectrum Disorder Research (10 papers), Smoking Behavior and Cessation (6 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Biological Psychiatry (1.1k citations), Behavioral Neuroscience (497 citations), Psychiatry and Mental health (964 citations), Developmental Neuroscience (249 citations) and Cellular and Molecular Neuroscience (717 citations). Da Chun Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mei Hong Xiu, Thomas R. Kosten, Xiang Yang Zhang, Therese A. Kosten, Fu De Yang, Xiangyang Zhang, Yun Tan, Colin N. Haile, Li Hui and Gui Ying Wu. Their work appears in journals such as Journal of Psychiatric Research, Schizophrenia Research, Psychopharmacology, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Human Psychopharmacology Clinical and Experimental.

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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