Quan Long

3.2k citations
77 papers · 2.4k · h-index 28

Impact in

Papers in

Quan Long

74 papers receiving 2.3k citations

Peers

Quan Long
Comparison fields: 5 of 113
  • Modeling and Simulation 217
  • Cardiology and Cardiovascular Medicine 984
  • Pulmonary and Respiratory Medicine 821
  • Surgery 956
  • Radiology, Nuclear Medicine and Imaging 427
Replace Irène Vignon-Clémentel with:
Irène Vignon-Clémentel France
Jack Lee United Kingdom
Marc Thiriet France
David Kay United Kingdom
C. G. United Kingdom
Karl Perktold Austria
Jamie M. Fitzgerald United Kingdom
Marina Piccinelli United States
Mary T. Draney United States
Lorenzo Botti Italy
Quan Long relative to Irène Vignon-Clémentel France Irène Vignon-Clémentel's profile →
Citations per field
00.5×1.5×2.5×
Irène Vignon-Clémentel · 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 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000216
2 2008193
3 2001157
4 1996150
5 2003139
6 2000130
7 2002101
8 200371
9 200171
10 201170
11 200963
12 200062
13 200855
14 200954
15 200350
16 200847
17 199845
18 200343
19 200843
20 201538

About Quan Long

Quan Long is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Modeling and Simulation and Molecular Biology, having authored 77 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (27 papers), Coronary Interventions and Diagnostics (23 papers), Mathematical Biology Tumor Growth (18 papers), Cerebrovascular and Carotid Artery Diseases (17 papers), Angiogenesis and VEGF in Cancer (12 papers), Cancer Cells and Metastasis (11 papers), Advanced MRI Techniques and Applications (7 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Modeling and Simulation (217 citations), Cardiology and Cardiovascular Medicine (984 citations), Pulmonary and Respiratory Medicine (821 citations), Surgery (956 citations) and Radiology, Nuclear Medicine and Imaging (427 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, Sheng‐wey Chiow, Steven Chu, Holger Müller 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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