Quan Long

3.2k citations
74 papers · 2.4k · h-index 29

Impact in

Papers in

Quan Long

72 papers receiving 2.3k citations

Peers

Quan Long
Comparison fields: 5 of 107
  • Modeling and Simulation 206
  • Cardiology and Cardiovascular Medicine 863
  • Pulmonary and Respiratory Medicine 680
  • Surgery 849
  • Radiology, Nuclear Medicine and Imaging 334
Replace Paolo Zunino with:
Paolo Zunino Italy
David Kay United Kingdom
Marc Thiriet France
C. G. United Kingdom
Karl Perktold Austria
Lorenzo Botti Italy
Jamie M. Fitzgerald United Kingdom
Marina Piccinelli United States
Mary T. Draney United States
Jie Zheng United States
Quan Long relative to Paolo Zunino Italy Paolo Zunino's profile →
Citations per field
00.5×4.0×
Paolo Zunino · 1×
Citations per year

Countries citing papers authored by Quan Long

Since Specialization
Citations

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

Fields of papers citing papers by Quan Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000218
2 2008196
3 2001159
4 1996150
5 2003140
6 2000131
7 2002101
8 200171
9 201171
10 200371
11 200963
12 200062
13 200855
14 200954
15 200350
16 200847
17 199845
18 200843
19 200343
20 201538

About Quan Long

Quan Long is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Modeling and Simulation, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 74 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (26 papers), Coronary Interventions and Diagnostics (21 papers), Mathematical Biology Tumor Growth (18 papers), Cerebrovascular and Carotid Artery Diseases (15 papers), Angiogenesis and VEGF in Cancer (12 papers), Cancer Cells and Metastasis (11 papers), Cardiovascular Function and Risk Factors (6 papers) and Advanced MRI Techniques and Applications (6 papers). The work is most often cited by research in Modeling and Simulation (206 citations), Cardiology and Cardiovascular Medicine (863 citations), Pulmonary and Respiratory Medicine (680 citations), Surgery (849 citations) and Radiology, Nuclear Medicine and Imaging (334 citations). Quan Long has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Xiao Yun Xu, Alun D. Hughes, Simon Thom, Ben Ariff, Peter R. Hoskins, Alice Stanton, Holger Müller, Steven Chu, Sheng‐wey Chiow and Sarah Zhao. Their work appears in journals such as Journal of Biomechanics, Applied Mathematics and Mechanics, Journal of Magnetic Resonance Imaging, Physics Letters A and Annals of Biomedical Engineering.

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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