Junxi Wu

35 papers receiving 1.4k citations

Junxi Wu's Hit Papers

Role of TNF-α in vascular dysfunction 2009 · 587 citations
5870+5+11Years since publication100200300400500

Peers

Junxi Wu
Comparison fields: 5 of 97
  • Immunology 146
  • Cardiology and Cardiovascular Medicine 164
  • Physiology 168
  • Genetics 54
  • Cancer Research 70
Replace Ryosuke Kikuchi with:
Ryosuke Kikuchi Japan
H. Thomas Lee United States
Stephen J. Pollock United States
Mihwa Kim United States
Pingjun Zhu China
Jayakumar Thangavel United States
Vicky Elizabeth MacRae United Kingdom
Jie Han China
Junxi Wu relative to Ryosuke Kikuchi Japan Ryosuke Kikuchi's profile →
Citations per field
00.5×1.5×
Ryosuke Kikuchi · 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Role of TNF-α in vascular dysfunction
Hit paper breakdown →
2009587
2 200875
3 202369
4 201665
5 199764
6 201362
7 201058
8 201152
9 201650
10 202239
11 202337
12 201830
13 201324
14 201721
15 201418
16 202315
17 200913
18 200913
19 201613
20 201713

About Junxi Wu

Junxi Wu is a scholar working on Immunology, Biophysics, Endocrinology, Diabetes and Metabolism, Physiology and Biomedical Engineering, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Hormonal and reproductive studies (4 papers), Mast cells and histamine (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Bone Tissue Engineering Materials (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Immunology (146 citations), Cardiology and Cardiovascular Medicine (164 citations), Physiology (168 citations), Genetics (54 citations) and Cancer Research (70 citations). Junxi Wu has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Cui-Hua Zhang, Hanrui Zhang, Jiyeon Yang, Sewon Lee, Kevin C. Dellsperger, Zoltán Spolarics, Patrick W. F. Hadoke, Barry J. Potter, Xiangbin Xu and Xue Jun Gao. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Scientific Reports, Basic Research in Cardiology, Experimental Eye Research 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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