Qingquan Lv

935 total citations
9 papers, 218 citations indexed

About

Qingquan Lv is a scholar working on Infectious Diseases, Epidemiology and Mechanics of Materials. According to data from OpenAlex, Qingquan Lv has authored 9 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Epidemiology and 2 papers in Mechanics of Materials. Recurrent topics in Qingquan Lv's work include Sepsis Diagnosis and Treatment (3 papers), COVID-19 Clinical Research Studies (3 papers) and Mechanical Behavior of Composites (2 papers). Qingquan Lv is often cited by papers focused on Sepsis Diagnosis and Treatment (3 papers), COVID-19 Clinical Research Studies (3 papers) and Mechanical Behavior of Composites (2 papers). Qingquan Lv collaborates with scholars based in China, Hong Kong and United States. Qingquan Lv's co-authors include Haipeng Xiao, Qihong Chen, Jiangquan Yu, Xiaohua Gu, Ruiqiang Zheng, Chao Zhang, Zhenqiang Zhao, Qian Zhou, Cuiping Wang and Yanbing Li and has published in prestigious journals such as International Journal of Impact Engineering, PeerJ and The American Journal of Emergency Medicine.

In The Last Decade

Qingquan Lv

9 papers receiving 217 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qingquan Lv China 5 100 75 68 33 31 9 218
Lokesh Tiwari India 9 58 0.6× 38 0.5× 26 0.4× 60 1.8× 33 1.1× 44 244
Lu Wan United States 9 91 0.9× 28 0.4× 53 0.8× 27 0.8× 2 0.1× 15 453
Huibin Feng China 6 103 1.0× 32 0.4× 9 0.1× 66 2.0× 2 0.1× 8 190
Olufunmilayo Adeleye Nigeria 9 33 0.3× 50 0.7× 236 3.5× 11 0.3× 19 0.6× 16 302
Makhabbat Bekbossynova Kazakhstan 9 27 0.3× 30 0.4× 11 0.2× 18 0.5× 6 0.2× 36 253
Takuya Hayashi Japan 9 53 0.5× 66 0.9× 4 0.1× 19 0.6× 6 0.2× 27 393
Erin Isaacson United States 5 30 0.3× 99 1.3× 14 0.2× 8 0.2× 2 0.1× 8 185
Peter A. Crisologo United States 10 22 0.2× 51 0.7× 209 3.1× 5 0.2× 4 0.1× 47 372
Samuel Alpert United States 8 87 0.9× 36 0.5× 15 0.2× 9 0.3× 3 0.1× 15 270
Alex Zhu United States 12 59 0.6× 21 0.3× 11 0.2× 11 0.3× 4 0.1× 23 375

Countries citing papers authored by Qingquan Lv

Since Specialization
Citations

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

Fields of papers citing papers by Qingquan Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingquan Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Qingquan Lv. A scholar is included among the top collaborators of Qingquan Lv 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 Qingquan Lv. Qingquan Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Zhao, Zhenqiang, et al.. (2024). On the strain-rate dependent compressive failure behavior of 2.5D woven composites. International Journal of Impact Engineering. 188. 104944–104944. 16 indexed citations
3.
Zhao, Zhenqiang, et al.. (2024). Predicting the low-velocity impact failure of 3D woven composites based on a local homogenization modeling strategy. Composites Communications. 48. 101912–101912. 9 indexed citations
4.
Peng, Liang, Qingquan Lv, Fan Yang, et al.. (2021). The interval between onset and admission predicts disease progression in COVID-19 patients. Annals of Translational Medicine. 9(3). 213–213. 4 indexed citations
5.
Liu, Chao, Kai Wang, Luyuan Li, et al.. (2021). Severity of COVID-19 in Cancer patients versus patients without Cancer: A Propensity Score Matching Analysis. Journal of Cancer. 12(12). 3558–3565. 3 indexed citations
6.
7.
Wu, Jianfeng, Jianqiang Huang, Guochao Zhu, et al.. (2020). Elevation of blood glucose level predicts worse outcomes in hospitalized patients with COVID-19: a retrospective cohort study. BMJ Open Diabetes Research & Care. 8(1). e001476–e001476. 102 indexed citations
8.
Lv, Qingquan, Xiaohua Gu, Qihong Chen, Jiangquan Yu, & Ruiqiang Zheng. (2017). Early initiation of low-dose hydrocortisone treatment for septic shock in adults: A randomized clinical trial. The American Journal of Emergency Medicine. 35(12). 1810–1814. 36 indexed citations
9.
Sun, Hao, et al.. (2012). Relationship between hepatic dysfunction and prognosis in patients with paraquat poisoning: Clinical effects of hemopurification therapy. World Chinese Journal of Digestology. 20(36). 3782–3782. 1 indexed citations

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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