Junxi Wu

33 papers receiving 1.3k citations

Junxi Wu's Hit Papers

Role of TNF-α in vascular dysfunction 2009 · 575 citations
5750+5+11Years since publication100200300400500

Peers

Junxi Wu
Comparison fields: 5 of 113
  • Immunology 202
  • Cardiology and Cardiovascular Medicine 182
  • Cancer Research 100
  • Physiology 139
  • Endocrinology, Diabetes and Metabolism 86
Replace Eleonora Salvolini with:
Eleonora Salvolini Italy
Stephen F. Rodrigues Brazil
Lei Gao China
Romuald Mentaverri France
Li Zhou China
George Agrogiannis Greece
Chao Deng China
Hui Ma China
Ping Xie United States
Dominik M. Schulte Germany
Junxi Wu relative to Eleonora Salvolini Italy Eleonora Salvolini's profile →
Citations per field
00.5×1.5×1.8×
Eleonora Salvolini · 1×
Citations per year

Countries citing papers authored by Junxi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junxi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Role of TNF-α in vascular dysfunction
Hit paper breakdown →
2009575
2 200873
3 199767
4 202365
5 201665
6 201059
7 201358
8 201152
9 201649
10 202237
11 202333
12 201828
13 201323
14 201720
15 201418
16
[Protective effects of ginsenosides on oxygen free radical induced damages of cultured vascular endothelial cells in vitro].
199416
17 201613
18 202313
19 201712
20 201510

About Junxi Wu

Junxi Wu is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Hormonal and reproductive studies (4 papers), Bone Tissue Engineering Materials (4 papers), 3D Printing in Biomedical Research (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Mast cells and histamine (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Immunology (202 citations), Cardiology and Cardiovascular Medicine (182 citations), Cancer Research (100 citations), Physiology (139 citations) and Endocrinology, Diabetes and Metabolism (86 citations). Junxi Wu has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Cuihua Zhang, Hanrui Zhang, Jiyeon Yang, Kevin C. Dellsperger, Sewon Lee, Z. Spolarics, Patrick W. F. Hadoke, Barry J. Potter, Xiangbin Xu and Xue Gao. Their work appears in journals such as Experimental Eye Research, American Journal of Physiology-Heart and Circulatory Physiology, Scientific Reports, Basic Research in Cardiology and Journal of Visualized Experiments.

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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