Daihui Peng

4.6k citations
103 papers · 1.9k indexed · h-index 26
Topics
Treatment of Major Depression (37 papers)Tryptophan and brain disorders (31 papers)Mental Health Research Topics (26 papers)
Journals
Advanced MaterialsSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Daihui Peng

99 papers receiving 1.9k citations

Peers

Daihui Peng
Comparison fields: 5 of 112
  • Cognitive Neuroscience 553
  • Biological Psychiatry 529
  • Psychiatry and Mental health 459
  • Experimental and Cognitive Psychology 403
  • Pharmacology 314
Replace Daimei Sasayama with:
Daimei Sasayama Japan
Min-Soo Lee South Korea
Tae‐Youn Jun South Korea
Pei-Chi Tu Taiwan
Katherine E. Tansey United Kingdom
Marina Šagud Croatia
Earle Bain United States
Yun‐Ai Su China
Andrea Escelsior Italy
André Tadić Germany
Daihui Peng relative to Daimei Sasayama Japan Daimei Sasayama's profile →
Citations per field
00.5×1.5×2.2×
Daimei Sasayama · 1×
Citations per year

Countries citing papers authored by Daihui Peng

Since Specialization
Citations

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

Fields of papers citing papers by Daihui Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daihui Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Daihui Peng. A scholar is included among the top collaborators of Daihui Peng 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 Daihui Peng. Daihui Peng 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
#WorkIndexed citations
1 0
2 1
3 0
4 3
5 0
6 15
7 11
8 48
9 1
10 16
11
A Preliminary Study of Different Treatment Strategies for Anxious Depression
3
12 12
13 38
14 4
15
Individual Perceived Stress Mediates Psychological Distress in Medical Workers During COVID-19 Epidemic Outbreak in Wuhan
1
16 2
17 17
18 14
19
Decreased regional homogeneity in major depression as revealed by resting-state functional magnetic resonance imaging.
41
20 1

About Daihui Peng

Daihui Peng is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Experimental and Cognitive Psychology, having authored 103 papers that have together received 1.9k indexed citations. Recurring topics across this work include Treatment of Major Depression (37 papers), Tryptophan and brain disorders (31 papers) and Mental Health Research Topics (26 papers). The work is most often cited by research in Biological Psychiatry (529 citations), Behavioral Neuroscience (248 citations) and Experimental and Cognitive Psychology (403 citations). Daihui Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yiru Fang, Zhiguo Wu, Kaida Jiang, Ting Shen, Wu Hong, Chen Zhang, Huifeng Zhang, Jun Chen, Lei Ding and Jia Huang. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

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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