Mengxun Li

548 total citations
31 papers, 363 citations indexed

About

Mengxun Li is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Mengxun Li has authored 31 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 12 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Mengxun Li's work include Cancer-related molecular mechanisms research (12 papers), RNA Research and Splicing (8 papers) and Genetic and phenotypic traits in livestock (7 papers). Mengxun Li is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), RNA Research and Splicing (8 papers) and Genetic and phenotypic traits in livestock (7 papers). Mengxun Li collaborates with scholars based in China, Canada and United States. Mengxun Li's co-authors include Changchun Li, Chengchi Fang, Lawrence H. Le, Cheng Zou, Neelambar R. Kaipatur, Qianqian Li, Kumaradevan Punithakumar, Jingxuan Li, Tao Huang and Paul W. Major and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Dental Research.

In The Last Decade

Mengxun Li

25 papers receiving 362 citations

Peers

Mengxun Li
Comparison fields: 5 of 75
  • Molecular Biology 144
  • Cancer Research 138
  • Genetics 87
  • Oral Surgery 73
  • Biomedical Engineering 66
Replace Alessandro Mangano with:
Alessandro Mangano Italy
Emerson de Souza Santos Brazil
Barbara Siegenthaler Switzerland
Piotr Kowalczyk Poland
Dongru Chen China
Liza L. Ramenzoni Switzerland
Zhijian Liu China
Dan Liang China
Michael DeFee United States
Xiaoxue Yang China
Alessandro Mangano Italy View profile →
Citations per field, relative to Mengxun Li
Mengxun Li · 1×
Citations per year, relative to Mengxun Li
Mengxun Li · 1×

Countries citing papers authored by Mengxun Li

Since Specialization
Citations

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

Fields of papers citing papers by Mengxun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengxun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mengxun Li. A scholar is included among the top collaborators of Mengxun Li 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 Mengxun Li. Mengxun Li 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 0
4 3
5 0
6 6
7 7
8 29
9 5
10 11
11 5
12 10
13 48
14 11
15 4
16 3
17 24
18 10
19 35
20
The Short-term Predicting Method of Algal Blooms Based on Libsvm and Elman Neural Network Modeling
0

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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