Shuangyu Lv

1.7k total citations
47 papers, 1.4k citations indexed

About

Shuangyu Lv is a scholar working on Molecular Biology, Surgery and Pharmacology. According to data from OpenAlex, Shuangyu Lv has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Surgery and 15 papers in Pharmacology. Recurrent topics in Shuangyu Lv's work include Apelin-related biomedical research (15 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (14 papers) and Nuclear Receptors and Signaling (9 papers). Shuangyu Lv is often cited by papers focused on Apelin-related biomedical research (15 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (14 papers) and Nuclear Receptors and Signaling (9 papers). Shuangyu Lv collaborates with scholars based in China. Shuangyu Lv's co-authors include Yanjie Yang, Qiang Chen, Honggang Wang, Dongdong Wu, Yan‐Dong Wang, Weidong Chen, Huiyang Liu, Ailing Ji, Yanzhang Li and Ming-Jie Wang and has published in prestigious journals such as International Journal of Molecular Sciences, American Journal Of Pathology and RSC Advances.

In The Last Decade

Shuangyu Lv

47 papers receiving 1.4k citations

Peers

Shuangyu Lv
Comparison fields: 5 of 115
  • Molecular Biology 444
  • Pharmacology 412
  • Surgery 343
  • Cellular and Molecular Neuroscience 258
  • Biochemistry 228
Replace Nahid Aboutaleb with:
Nahid Aboutaleb Iran
Yuling Chi United States
May‐Jywan Tsai Taiwan
Hung‐Tsung Wu Taiwan
Marek Bednarski Poland
Debashree Mukherjea United States
Chengwen Sun United States
Natasha T. Snider United States
Beverly A. Rzigalinski United States
Arianna Carolina Rosa Italy
Nahid Aboutaleb Iran View profile →
Citations per field, relative to Shuangyu Lv
Shuangyu Lv · 1×
Citations per year, relative to Shuangyu Lv
Shuangyu Lv · 1×

Countries citing papers authored by Shuangyu Lv

Since Specialization
Citations

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

Fields of papers citing papers by Shuangyu Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuangyu Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Shuangyu Lv. A scholar is included among the top collaborators of Shuangyu 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 Shuangyu Lv. Shuangyu 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 3
2 23
3 7
4 30
5 6
6 112
7 43
8 10
9 30
10 8
11 29
12 65
13 15
14 8
15 18
16 49
17 51
18 47
19 24
20 21

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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