Quan Long

3.2k total citations
77 papers, 2.4k citations indexed

About

Quan Long is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Quan Long has authored 77 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cardiology and Cardiovascular Medicine, 24 papers in Surgery and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Quan Long's work include Cardiovascular Health and Disease Prevention (27 papers), Coronary Interventions and Diagnostics (23 papers) and Mathematical Biology Tumor Growth (18 papers). Quan Long is often cited by papers focused on Cardiovascular Health and Disease Prevention (27 papers), Coronary Interventions and Diagnostics (23 papers) and Mathematical Biology Tumor Growth (18 papers). Quan Long collaborates with scholars based in United Kingdom, China and United States. Quan Long's co-authors include Xiao Yun Xu, Alun D. Hughes, Simon Thom, Ben Ariff, Peter R. Hoskins, Alice Stanton, Holger Müller, Sheng‐wey Chiow, Steven Chu and Sarah Zhao and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Physical Review A.

In The Last Decade

Quan Long

74 papers receiving 2.3k citations

Peers

Quan Long
Comparison fields: 5 of 113
  • Cardiology and Cardiovascular Medicine 984
  • Surgery 956
  • Pulmonary and Respiratory Medicine 821
  • Radiology, Nuclear Medicine and Imaging 427
  • Biomedical Engineering 374
Replace Irène Vignon-Clémentel with:
Irène Vignon-Clémentel France
Jack Lee United Kingdom
Jamie M. Fitzgerald United Kingdom
Mary T. Draney United States
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Irène Vignon-Clémentel France View profile →
Citations per field, relative to Quan Long
Quan Long · 1×
Citations per year, relative to Quan Long
Quan Long · 1×

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-authorship network of co-authors of Quan Long

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Long. A scholar is included among the top collaborators of Quan Long based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Quan Long. Quan Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 12
4 38
5 27
6 70
7 11
8 23
9 34
10 30
11 15
12 30
13 71
14 21
15 6
16
CFD and FE stress analysis of the carotid bifurcation based on individual anatomical and flow data acquired using MRI and ultrasound
1
17 130
18 6
19 45
20 5

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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