Qing Lv

2.5k citations
96 papers · 1.5k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Qing Lv

89 papers receiving 1.5k citations

Hit Papers

Prognostic Value of Right Ventricular Longitudinal Strain in Patients With COVID-19 2020 · 295 citations
295202020262022202450100150200250

Peers

Qing Lv
Comparison fields: 5 of 145
  • Cardiology and Cardiovascular Medicine 469
  • Biomaterials 168
  • Critical Care and Intensive Care Medicine 64
  • Cancer Research 165
  • Infectious Diseases 194
Replace Yun Xie with:
Yun Xie China
Louise Hecker United States
Zhichao Zhou United States
Jiaxing Sun China
Kun Sun China
Ming Zhong China
Manfred Dahm Germany
Cheng Li China
Jun Jiang China
Qing Lv relative to Yun Xie China Yun Xie's profile →
Citations per field
00.5×4.3×
Yun Xie · 1×
Citations per year

Countries citing papers authored by Qing Lv

Since Specialization
Citations

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

Fields of papers citing papers by Qing Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prognostic Value of Right Ventricular Longitudinal Strain in Patients With COVID-19
Hit paper breakdown →
2020295
2 2013179
3
Expression of glutaminase is upregulated in colorectal cancer and of clinical significance.
201472
4 201469
5 202160
6 201347
7 202144
8 201943
9 200833
10 201831
11 202129
12 201828
13 201726
14 200926
15 202125
16 202025
17 201125
18 202022
19 201521
20 201320

About Qing Lv

Qing Lv is a scholar working on Cardiology and Cardiovascular Medicine, General Engineering, Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 96 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (15 papers), Cardiovascular Function and Risk Factors (11 papers), Congenital Heart Disease Studies (11 papers), Cardiac Structural Anomalies and Repair (6 papers), Coronary Artery Anomalies (6 papers), Ultrasound and Hyperthermia Applications (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Spondyloarthritis Studies and Treatments (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (469 citations), Biomaterials (168 citations), Critical Care and Intensive Care Medicine (64 citations), Cancer Research (165 citations) and Infectious Diseases (194 citations). Qing Lv has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mingxing Xie, Li Zhang, Jing Wang, Min Han, Yuman Li, Jianqing Gao, Yulan Hu, Fanzhu Li, Yuji Xie and Bin Wang. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Medicine, JACC. Cardiovascular imaging, Ultrasound in Medicine & Biology and QJM.

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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