Wen‐Jun Tu

6.0k citations
92 papers · 3.2k · 3 hit papers · h-index 28

Impact in

Papers in

Wen‐Jun Tu

91 papers receiving 3.1k citations

Wen‐Jun Tu's Hit Papers

Prevalence of stroke in China, 2013–2019: A population-based study 2022 · 121 citations
1210+2+5Years since publication100200300400500

Peers

Wen‐Jun Tu
Comparison fields: 5 of 159
  • Neurology 270
  • Biological Psychiatry 68
  • Clinical Biochemistry 163
  • Rehabilitation 130
  • Neurology 226
Replace Shaoqing Lei with:
Shaoqing Lei China
Lihua Chen China
Albino Carrizzo Italy
Christoph Meier Switzerland
Michael Bergman United States
Bo Wu China
Giovanni Mario Pes Italy
Seung‐Hyun Ko South Korea
Peter Willeit Austria
Roberto Antonicelli Italy
Wen‐Jun Tu relative to Shaoqing Lei China Shaoqing Lei's profile →
Citations per field
00.5×1.5×2.5×
Shaoqing Lei · 1×
Citations per year

Countries citing papers authored by Wen‐Jun Tu

Since Specialization
Citations

This map shows the geographic impact of Wen‐Jun Tu'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 Tu 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 Tu more than expected).

Fields of papers citing papers by Wen‐Jun Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Anti-Inflammatory and Anti-Oxidant Mechanisms of the Keap1/Nrf2/ARE Signaling Pathway in Chronic Diseases
Hit paper breakdown →
2018564
2 2020374
3
Aging tsunami coming: the main finding from China’s seventh national population census
Hit paper breakdown →
2021163
4 2013133
5
Prevalence of stroke in China, 2013–2019: A population-based study
Hit paper breakdown →
2022121
6 2021110
7 201396
8 201285
9 202175
10 201774
11 201866
12 201266
13 201762
14 202261
15 201860
16 201654
17 201351
18 201747
19 201241
20 202240

About Wen‐Jun Tu

Wen‐Jun Tu is a scholar working on Epidemiology, Molecular Biology, Neurology, Neurology and Clinical Biochemistry, having authored 92 papers that have together received 3.2k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (13 papers), Metabolism and Genetic Disorders (8 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), International Business and FDI (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Stroke Rehabilitation and Recovery (5 papers). The work is most often cited by research in Neurology (270 citations), Biological Psychiatry (68 citations), Clinical Biochemistry (163 citations), Rehabilitation (130 citations) and Neurology (226 citations). Wen‐Jun Tu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qiang Liu, Hong Wang, Xianwei Zeng, Hong Sha, Song Li, Jianlei Cao, Shengjie Zhao, Yakun Liu, Hancheng Qiu and Lei Yu. Their work appears in journals such as Molecular Neurobiology, Journal of Neurology, The Lancet Regional Health - Western Pacific, Aging and Disease and Stroke.

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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