Mingliang Lv

437 citations
9 papers · 361 indexed · h-index 5
Topics
Cancer, Hypoxia, and Metabolism (2 papers)Cancer-related molecular mechanisms research (2 papers)Retinal Diseases and Treatments (2 papers)

In The Last Decade

Mingliang Lv

9 papers receiving 359 citations

Peers

Mingliang Lv
Comparison fields: 5 of 69
  • Molecular Biology 210
  • Cancer Research 101
  • Computational Theory and Mathematics 87
  • Pharmacology 77
  • Physiology 39
Replace Jhansi Magisetty with:
Jhansi Magisetty India
Fabrice Casagrande France
Qin Dong China
Kyeojin Kim South Korea
Jean E. Bemis United States
Lin Ye China
Meimei Zhao China
Hongchan An South Korea
Cornelia Franke Germany
Zhengang Tang China
Mingliang Lv relative to Jhansi Magisetty India Jhansi Magisetty's profile →
Citations per field
00.5×5.8×
Jhansi Magisetty · 1×
Citations per year

Countries citing papers authored by Mingliang Lv

Since Specialization
Citations

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

Fields of papers citing papers by Mingliang Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingliang Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Mingliang Lv. A scholar is included among the top collaborators of Mingliang 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 Mingliang Lv. Mingliang 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
#WorkIndexed citations
1 19
2 2
3
Application of Combined Ecological Sanitation Toilets in Rural Areas
1
4 4
5
Tumor-suppressive function of long noncoding RNA MALAT1 in glioma cells by suppressing miR-155 expression and activating FBXW7 function.
103
6 184
7 19
8 3
9 26

About Mingliang Lv

Mingliang Lv is a scholar working on Aging, Ophthalmology and Cancer Research, having authored 9 papers that have together received 361 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related molecular mechanisms research (2 papers) and Retinal Diseases and Treatments (2 papers). The work is most often cited by research in Cancer Research (101 citations), Computational Theory and Mathematics (87 citations) and Pharmacology (77 citations). Mingliang Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peibo Li, Xiang‐Qun Xie, Weiwei Su, Yonggang Wang, Lirong Wang, Haibin Liu, Zhong Pei, Yanzhou Wang, Jinquan Li and Yong Tian. Their work appears in journals such as Journal of Ethnopharmacology, Journal of Chemical Information and Modeling and Molecular Medicine Reports.

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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