Peng Lv

685 total citations
27 papers, 239 citations indexed

About

Peng Lv is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Pharmacology. According to data from OpenAlex, Peng Lv has authored 27 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Infectious Diseases and 4 papers in Pharmacology. Recurrent topics in Peng Lv's work include Vasculitis and related conditions (4 papers), Viral Infections and Outbreaks Research (3 papers) and Healthcare and Venom Research (3 papers). Peng Lv is often cited by papers focused on Vasculitis and related conditions (4 papers), Viral Infections and Outbreaks Research (3 papers) and Healthcare and Venom Research (3 papers). Peng Lv collaborates with scholars based in China, France and United States. Peng Lv's co-authors include Xiong He, Hui Zhang, Jian-shi Huang, Hui Dai, Li Jiang, Jinsong Mu, Yaojuan Chu, Yanhong Wang, Zongfei Ji and Chunhui Du and has published in prestigious journals such as Frontiers in Immunology, Frontiers in Plant Science and Journal of Pharmaceutical Sciences.

In The Last Decade

Peng Lv

23 papers receiving 238 citations

Peers

Peng Lv
Comparison fields: 5 of 96
  • Pulmonary and Respiratory Medicine 53
  • Infectious Diseases 49
  • Immunology 42
  • Epidemiology 40
  • Molecular Biology 39
Replace Yavuz Sütbeyaz with:
Yavuz Sütbeyaz Türkiye
Lee Sk Taiwan
Ting‐Ting Chao Taiwan
Rachel Tennant United Kingdom
B Cauliez France
Osama Abdel‐Razek United States
Adli Ali Malaysia
Andrea Vukić Dugac Croatia
Yanjiao Lu China
Sandro Lindig Germany
Yavuz Sütbeyaz Türkiye View profile →
Citations per field, relative to Peng Lv
Peng Lv · 1×
Citations per year, relative to Peng Lv
Peng Lv · 1×

Countries citing papers authored by Peng Lv

Since Specialization
Citations

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

Fields of papers citing papers by Peng Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Lv. A scholar is included among the top collaborators of Peng 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 Peng Lv. Peng Lv 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 0
2 0
3 4
4 3
5 1
6 0
7 10
8 3
9 8
10 15
11 2
12 15
13 21
14
Application of traditional Chinese medicine in prevention and treatment of COVID-19
1
15 15
16 26
17 0
18 1
19 13
20 30

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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