De-Wei Shang

1.7k citations
88 papers · 1.4k · h-index 18

Impact in

Papers in

De-Wei Shang

82 papers receiving 1.3k citations

Peers

De-Wei Shang
Comparison fields: 5 of 121
  • Biological Psychiatry 163
  • Biomaterials 286
  • Behavioral Neuroscience 52
  • Psychiatry and Mental health 181
  • Pharmaceutical Science 51
Replace Amos Akintayo Fatokun with:
Amos Akintayo Fatokun United Kingdom
László Tóthfalusi Hungary
Joana Bicker Portugal
Feng Xiao China
Sooyeun Lee South Korea
Gianluca Miglio Italy
Zhan-Zhang Wang China
Rajeev Taliyan India
Cuiping Chen United States
Aneta Wojnicz Spain
De-Wei Shang relative to Amos Akintayo Fatokun United Kingdom Amos Akintayo Fatokun's profile →
Citations per field
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Amos Akintayo Fatokun · 1×
Citations per year

Countries citing papers authored by De-Wei Shang

Since Specialization
Citations

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

Fields of papers citing papers by De-Wei Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De-Wei Shang. 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 De-Wei Shang. The network helps show where De-Wei Shang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009407
2 202173
3 201670
4 201739
5 202135
6 202135
7 201230
8 202029
9 201828
10 201826
11 201822
12 202121
13 201320
14 202220
15 201420
16 202020
17 201219
18 201118
19 202017
20 202217

About De-Wei Shang

De-Wei Shang is a scholar working on Psychiatry and Mental health, Biological Psychiatry, Pharmacology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (14 papers), Schizophrenia research and treatment (13 papers), Pharmacogenetics and Drug Metabolism (7 papers), Treatment of Major Depression (7 papers), Computational Drug Discovery Methods (6 papers), Bipolar Disorder and Treatment (5 papers), Gut microbiota and health (5 papers) and Epilepsy research and treatment (4 papers). The work is most often cited by research in Biological Psychiatry (163 citations), Biomaterials (286 citations), Behavioral Neuroscience (52 citations), Psychiatry and Mental health (181 citations) and Pharmaceutical Science (51 citations). De-Wei Shang has collaborated with scholars based in China, Macao and Canada. Frequent co-authors include Wen Yu-guan, Jinqing Hu, Xiaojia Ni, Zhan-Zhang Wang, Haoyang Lu, Xiuqing Zhu, Wan-Liang Lü, He Wen, Ju Du and Ying Men. Their work appears in journals such as Frontiers in Pharmacology, Journal of Chromatography B, Journal of Affective Disorders, Drug Design Development and Therapy and European Journal of Clinical Pharmacology.

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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