Junxi Wu

32 papers receiving 1.2k citations

Junxi Wu's Hit Papers

Role of TNF-α in vascular dysfunction 2009 · 552 citations
5520+5+11Years since publication100200300400500

Peers

Junxi Wu
Comparison fields: 5 of 113
  • Immunology 232
  • Cardiology and Cardiovascular Medicine 216
  • Cancer Research 123
  • Biochemistry 40
  • Endocrinology, Diabetes and Metabolism 100
Replace Eleonora Salvolini with:
Eleonora Salvolini Italy
Ruomei Qi China
Chao Deng China
Liang Yang China
Romuald Mentaverri France
Stephen F. Rodrigues Brazil
Liang Sun China
George Agrogiannis Greece
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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Role of TNF-α in vascular dysfunction
Hit paper breakdown →
2009552
2 200868
3 199767
4 201663
5 202359
6 201058
7 201355
8 201151
9 201645
10 202233
11 202331
12 201826
13 201322
14 201720
15 201418
16
[Protective effects of ginsenosides on oxygen free radical induced damages of cultured vascular endothelial cells in vitro].
199416
17 201712
18 202311
19 201611
20 199610

About Junxi Wu

Junxi Wu is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (6 papers), Bone Tissue Engineering Materials (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Hormonal and reproductive studies (4 papers), Coronary Interventions and Diagnostics (4 papers), Mast cells and histamine (3 papers), 3D Printing in Biomedical Research (3 papers) and Cardiac Ischemia and Reperfusion (3 papers). The work is most often cited by research in Immunology (232 citations), Cardiology and Cardiovascular Medicine (216 citations), Cancer Research (123 citations), Biochemistry (40 citations) and Endocrinology, Diabetes and Metabolism (100 citations). Junxi Wu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Cuihua Zhang, Hanrui Zhang, Young Joo Park, Sewon Lee, Jiyeon Yang, Kevin C. Dellsperger, Z. Spolarics, Patrick W. F. Hadoke, Xue Gao and Xiangbin Xu. Their work appears in journals such as Scientific Reports, Journal of Visualized Experiments, Experimental Eye Research, Basic Research in Cardiology and American Journal of Physiology-Heart and Circulatory Physiology.

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.

Explore authors with similar magnitude of impact