Meng Liang

2.8k citations
91 papers · 2.2k · h-index 23

Impact in

Papers in

Meng Liang

86 papers receiving 2.2k citations

Peers

Meng Liang
Comparison fields: 5 of 124
  • Cancer Research 673
  • Reproductive Medicine 196
  • Hepatology 177
  • Molecular Biology 711
  • Immunology 185
Replace Gerald J. Mizejewski with:
Gerald J. Mizejewski United States
Shixuan Wang China
Rongrong Wu China
Taichi Kimura Japan
Xiao‐Huan Liang China
Viola Heinzelmann‐Schwarz Switzerland
Brian W. Simons United States
Jin Zhu China
Hong Yu China
Oliver M.T. Pearce United Kingdom
Meng Liang relative to Gerald J. Mizejewski United States Gerald J. Mizejewski's profile →
Citations per field
00.5×11.5×
Gerald J. Mizejewski · 1×
Citations per year

Countries citing papers authored by Meng Liang

Since Specialization
Citations

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

Fields of papers citing papers by Meng Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Meng Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Meng Liang Line = papers co-authored together Meng Liang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020254
2 2019176
3 2012117
4 2014114
5 202278
6 201575
7 201475
8 201370
9 201965
10 201361
11 202154
12 201150
13 201847
14 201646
15 202244
16 201343
17 201343
18 201942
19 202138
20
SCAR-transformation of sex-specific SSR marker and its application in half-smooth tongue sole (Cynoglossus semiliaevis).
201437

About Meng Liang

Meng Liang is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Immunology, having authored 91 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), Circular RNAs in diseases (14 papers), MicroRNA in disease regulation (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Sperm and Testicular Function (7 papers), Colorectal Cancer Surgical Treatments (6 papers), Reproductive Biology and Fertility (5 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Cancer Research (673 citations), Reproductive Medicine (196 citations), Hepatology (177 citations), Molecular Biology (711 citations) and Immunology (185 citations). Meng Liang has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Fei Sun, Ke Hu, Guidong Yao, Mianmian Yin, Hui Tian, Jie Lian, Xiaohong Ma, Chaofan He, Huanghao Yang and Binling Zhu. Their work appears in journals such as Abdominal Radiology, European Journal of Radiology, Scientific Reports, European Radiology and Molecular and Cellular 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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