Yange Wei

40 papers receiving 866 citations

Peers

Yange Wei
Comparison fields: 5 of 92
  • Biological Psychiatry 85
  • Behavioral Neuroscience 37
  • Cognitive Neuroscience 203
  • Psychiatry and Mental health 125
  • Experimental and Cognitive Psychology 85
Replace Trehani M. Fonseka with:
Trehani M. Fonseka Canada
Minlan Yuan China
Karen Hodgson United Kingdom
Manu Sharma India
Jun Cao China
Jong Woo Kim South Korea
Laura R. Magni Italy
Michelle Skime United States
Zachary T. Goodman United States
Meihong Xiu China
Yange Wei relative to Trehani M. Fonseka Canada Trehani M. Fonseka's profile →
Citations per field
00.5×3.7×
Trehani M. Fonseka · 1×
Citations per year

Countries citing papers authored by Yange Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yange Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202186
2 202186
3 201777
4 201875
5 202073
6 202072
7 201953
8 202039
9 201835
10 202033
11 202128
12 202021
13 201918
14 202117
15 202316
16 202116
17 202214
18 201814
19 202210
20 20239

About Yange Wei

Yange Wei is a scholar working on Cognitive Neuroscience, Molecular Biology, Experimental and Cognitive Psychology, Psychiatry and Mental health and Biological Psychiatry, having authored 41 papers that have together received 870 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Mental Health Research Topics (5 papers), Bipolar Disorder and Treatment (4 papers), Tryptophan and brain disorders (4 papers), Ubiquitin and proteasome pathways (3 papers), COVID-19 and Mental Health (2 papers), Transcranial Magnetic Stimulation Studies (2 papers) and Schizophrenia research and treatment (2 papers). The work is most often cited by research in Biological Psychiatry (85 citations), Behavioral Neuroscience (37 citations), Cognitive Neuroscience (203 citations), Psychiatry and Mental health (125 citations) and Experimental and Cognitive Psychology (85 citations). Yange Wei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yanqing Tang, Xiaowei Jiang, Fei Wang, Shengnan Wei, Fay Y. Womer, Jianjun Deng, Haixia Yang, Chenhui Zhu, Zhiyang Yin and Miao Chang. Their work appears in journals such as Frontiers in Psychiatry, Journal of Affective Disorders, BMC Psychiatry, Frontiers in Neuroscience and Journal of Psychiatry and Neuroscience.

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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