Chunmei Lv

610 citations
28 papers · 437 indexed · h-index 10
Topics
Neuroscience of respiration and sleep (4 papers)MicroRNA in disease regulation (3 papers)Antimicrobial Resistance in Staphylococcus (3 papers)

In The Last Decade

Chunmei Lv

25 papers receiving 431 citations

Peers

Chunmei Lv
Comparison fields: 5 of 85
  • Molecular Biology 162
  • Cancer Research 102
  • Social Psychology 56
  • Public Health, Environmental and Occupational Health 55
  • Epidemiology 39
Replace Jarmila Veselá with:
Jarmila Veselá Slovakia
Gholam Reza Mobini Iran
Ruping Fan United States
Katarina Mitić Serbia
Sun Ju Choi South Korea
S. J. Kumari A. Ubhayasekera Sweden
Nicola Fabris Italy
Annalisa Bosi Italy
Mariana Pinheiro Fernandes Brazil
Bei Huang China
Chunmei Lv relative to Jarmila Veselá Slovakia Jarmila Veselá's profile →
Citations per field
00.5×10×13.4×
Jarmila Veselá · 1×
Citations per year

Countries citing papers authored by Chunmei Lv

Since Specialization
Citations

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

Fields of papers citing papers by Chunmei Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunmei Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Chunmei Lv. A scholar is included among the top collaborators of Chunmei 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 Chunmei Lv. Chunmei 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
#WorkIndexed citations
1 2
2 0
3 7
4 0
5 2
6 7
7 7
8 28
9 3
10 3
11 62
12 2
13 79
14 13
15 16
16 8
17 1
18 37
19
Expression of G Protein-coupled Receptor 30(GPR30)in Epithelial Ovarian Carcinoma and Its Correlation with Proliferation Associated Genes c-fos and CyclinD1
1
20 20

About Chunmei Lv

Chunmei Lv is a scholar working on Reproductive Medicine, Endocrine and Autonomic Systems and Microbiology, having authored 28 papers that have together received 437 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (4 papers), MicroRNA in disease regulation (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Behavioral Neuroscience (28 citations), Cancer Research (102 citations) and Endocrine and Autonomic Systems (38 citations). Chunmei Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hui Zhu, Jie Xu, Yiwen Gao, Weiwei Li, Jiao Wang, Na Li, Xueqin Li, Danian Qin, Yu‐Feng Wang and Xiaoran Wang. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Endocrinology.

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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