Jun Wen

453 citations
45 papers · 321 · h-index 11

Impact in

Papers in

    • Aortic aneurysm repair treatments 9
    • Aortic Disease and Treatment Approaches 6
    • Vascular Procedures and Complications 3
    • Renal and Vascular Pathologies 3
    • Coronary Interventions and Diagnostics 11
    • Cardiac and Coronary Surgery Techniques 5

Jun Wen

37 papers receiving 316 citations

Peers

Jun Wen
Comparison fields: 5 of 68
  • Pulmonary and Respiratory Medicine 154
  • Internal Medicine 11
  • Cardiology and Cardiovascular Medicine 59
  • Surgery 96
  • Emergency Medical Services 10
Replace Bettina Kelsch with:
Bettina Kelsch Germany
Arka Chatterjee United States
Kaushal J. Shah United States
A Bracco Italy
Eui Im South Korea
Vishva Dev India
Jean-François Heautot France
Gerardus Bennink Germany
Hernán Bertoni Argentina
Frauke Verrel Germany
Jun Wen relative to Bettina Kelsch Germany Bettina Kelsch's profile →
Citations per field
00.5×1.5×2.0×
Bettina Kelsch · 1×
Citations per year

Countries citing papers authored by Jun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200636
2 201134
3 201728
4 200927
5 201827
6 201618
7 201316
8 201216
9 202111
10 202311
11 202210
12 20149
13 20218
14 20228
15 20208
16 20235
17 20195
18 20244
19 20174
20 20254

About Jun Wen

Jun Wen is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine, Oncology and Molecular Biology, having authored 45 papers that have together received 321 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (11 papers), Aortic aneurysm repair treatments (9 papers), Aortic Disease and Treatment Approaches (6 papers), Cardiac and Coronary Surgery Techniques (5 papers), Vascular Procedures and Complications (3 papers), Renal and Vascular Pathologies (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (154 citations), Internal Medicine (11 citations), Cardiology and Cardiovascular Medicine (59 citations), Surgery (96 citations) and Emergency Medical Services (10 citations). Jun Wen has collaborated with scholars based in China, New Zealand and Australia. Frequent co-authors include Tinghui Zheng, Yubo Fan, Ding Yuan, Wentao Jiang, Yue Qiu, Xiaoyan Deng, Liqing Peng, Xin An, Liying Cao and Limin Wang. Their work appears in journals such as Computer Methods in Biomechanics & Biomedical Engineering, Computer Methods and Programs in Biomedicine, Biomechanics and Modeling in Mechanobiology, BMC Cancer and ASAIO Journal.

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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