Tao Wen

5.4k citations
114 papers · 3.8k indexed · 1 hit paper · h-index 30
Topics
Glycosylation and Glycoproteins Research (14 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers)Galectins and Cancer Biology (13 papers)
Journals
Journal of Clinical InvestigationNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Tao Wen

110 papers receiving 3.7k citations

Hit Papers

NRF2, a Transcription Factor for Stress Response and Beyond202020262022202420204008001.2k

Peers

Tao Wen
Comparison fields: 5 of 127
  • Molecular Biology 2.2k
  • Immunology 647
  • Cancer Research 542
  • Epidemiology 463
  • Pulmonary and Respiratory Medicine 378
Replace Pil‐Hoon Park with:
Pil‐Hoon Park South Korea
Young‐Chae Chang South Korea
Yi‐Hsien Hsieh Taiwan
Lei Xiao China
Rong Hu China
Zhangang Xiao China
Bin Li China
Bastian Hoesel Austria
Xu Wu China
Hongzhong Li China
Tao Wen relative to Pil‐Hoon Park South Korea Pil‐Hoon Park's profile →
Citations per field
00.5×3.5×
Pil‐Hoon Park · 1×
Citations per year

Countries citing papers authored by Tao Wen

Since Specialization
Citations

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

Fields of papers citing papers by Tao Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Wen. A scholar is included among the top collaborators of Tao Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tao Wen. Tao Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 4
5 1
6 3
7 8
8 5
9 18
10 8
11
Cosmc Disruption-Mediated Aberrant O-glycosylation Suppresses Breast Cancer Cell Growth via Impairment of CD44
2
12 13
13 31
14 70
15 41
16 15
17 9
18 51
19 1
20 6

About Tao Wen

Tao Wen is a scholar working on Immunology, Hepatology and Cancer Research, having authored 114 papers that have together received 3.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers) and Galectins and Cancer Biology (13 papers). The work is most often cited by research in Pharmacology (332 citations), Cancer Research (542 citations) and Molecular Biology (2.2k citations). Tao Wen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaoli Ru, Feng He, Jian Liu, Zongmei Wen, Zhao Jin-yuan, Li Guan, Xiuhui Li, Guangyu An, Yanlin Zhang and Lina Li. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

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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