Dexiang Liu

4.8k citations
99 papers · 3.9k indexed · h-index 39

Impact in

Papers in

Dexiang Liu

97 papers receiving 3.8k citations

Peers

Dexiang Liu
Comparison fields: 5 of 142
  • Biological Psychiatry 978
  • Behavioral Neuroscience 805
  • Neurology 713
  • Developmental Neuroscience 271
  • Endocrine and Autonomic Systems 276
Replace Arubala P. Reddy with:
Arubala P. Reddy United States
Eléonore Beurel United States
Yong Cheng China
Caroline Ménard Canada
Agnès Aubert France
Chuang Wang China
Agnieszka Basta‐Kaim Poland
Ming Lu China
Yan Wu China
Ranji Cui China
Dexiang Liu relative to Arubala P. Reddy United States Arubala P. Reddy's profile →
Citations per field
00.5×2.6×
Arubala P. Reddy · 1×
Citations per year

Countries citing papers authored by Dexiang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dexiang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20240
4 20244
5 20237
6 20234
7 201935
8 201844
9 201840
10 201750
11 201723
12 201669
13 201676
14 201550
15 201421
16 201481
17 2014126
18 201453
19 201345
20 201320

About Dexiang Liu

Dexiang Liu is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Developmental Neuroscience, Biochemistry and Neurology, having authored 99 papers that have together received 3.9k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (25 papers), Stress Responses and Cortisol (24 papers), Neuroinflammation and Neurodegeneration Mechanisms (20 papers), Sulfur Compounds in Biology (15 papers), Neuroscience of respiration and sleep (13 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Extracellular vesicles in disease (8 papers) and Advanced MRI Techniques and Applications (8 papers). The work is most often cited by research in Biological Psychiatry (978 citations), Behavioral Neuroscience (805 citations), Neurology (713 citations), Developmental Neuroscience (271 citations) and Endocrine and Autonomic Systems (276 citations). Dexiang Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhen Wang, Fang Pan, Xueer Wang, Aijun Hao, Kai Xie, Shangming Liu, Fuwu Wang, Shidou Zhao, Xuemei Bai and Cyrus S. H. Ho. Their work appears in journals such as Behavioural Brain Research, Frontiers in Psychiatry, Journal of Affective Disorders, Journal of Neuroinflammation and Progress in Neuro-Psychopharmacology 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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