Wen-Jun Wu

573 citations
30 papers · 397 · h-index 11

Impact in

Papers in

Wen-Jun Wu

27 papers receiving 379 citations

Peers

Wen-Jun Wu
Comparison fields: 5 of 87
  • Biological Psychiatry 32
  • Behavioral Neuroscience 24
  • Complementary and alternative medicine 42
  • Radiology, Nuclear Medicine and Imaging 109
  • Cognitive Neuroscience 78
Replace Etienne A. Grima with:
Etienne A. Grima Canada
Michael Metzger Germany
Laura Jastrzab United States
Jennifer N. Vega United States
A Broadley United Kingdom
Somayeh Meysami United States
Albert J. Kirshen Canada
Rannveig Sakshaug Eldholm Norway
Angelica Carandina Italy
Wen-Jun Wu relative to Etienne A. Grima Canada Etienne A. Grima's profile →
Citations per field
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Etienne A. Grima · 1×
Citations per year

Countries citing papers authored by Wen-Jun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen-Jun Wu. 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 Wen-Jun Wu. The network helps show where Wen-Jun Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effects of qigong on late-stage complex regional pain syndrome.
199972
2 201855
3 201229
4 198728
5 201927
6 201426
7 201323
8 202319
9 201718
10 202314
11 202110
12 202110
13 202110
14 197910
15 20196
16 20206
17
Vasopressin and anesthesia surgery.
19826
18 20196
19 20245
20 20205

About Wen-Jun Wu

Wen-Jun Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Molecular Biology, Behavioral Neuroscience and Experimental and Cognitive Psychology, having authored 30 papers that have together received 397 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (4 papers), Functional Brain Connectivity Studies (4 papers), Tryptophan and brain disorders (3 papers), Sleep and related disorders (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Behavioral Neuroscience (24 citations), Complementary and alternative medicine (42 citations), Radiology, Nuclear Medicine and Imaging (109 citations) and Cognitive Neuroscience (78 citations). Wen-Jun Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Vlasta K. Zbuzek, Huaning Wang, Shu-Li Cheng, Donald S. Ciccone, Yen‐Hung Wu, R Ponnudurai, Jing Yang, Erin B. Bandilla, Long‐Biao Cui and Hong Yin. Their work appears in journals such as Scientific Reports, Frontiers in Psychiatry, Infection and Drug Resistance, Behavioural Brain Research and BMC 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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