Min Liang

545 total citations
14 papers, 398 citations indexed

About

Min Liang is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Min Liang has authored 14 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Infectious Diseases. Recurrent topics in Min Liang's work include Virus-based gene therapy research (5 papers), Cancer Research and Treatments (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Min Liang is often cited by papers focused on Virus-based gene therapy research (5 papers), Cancer Research and Treatments (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Min Liang collaborates with scholars based in China, United States and Netherlands. Min Liang's co-authors include Gang Cao, Kwang‐Wook Choi, Xi Chen, Xia Lin, Xin‐Hua Feng, Kaori Sakamoto, F. Charles Brunicardi, Yao-Yun Liang, Peter ten Dijke and Zhihong Chen and has published in prestigious journals such as Journal of Biological Chemistry, Gene and Applied Surface Science.

In The Last Decade

Min Liang

14 papers receiving 389 citations

Peers

Min Liang
Comparison fields: 5 of 59
  • Genetics 233
  • Molecular Biology 218
  • Oncology 188
  • Immunology 56
  • Biotechnology 50
Replace Shinnosuke Kurachi with:
Shinnosuke Kurachi Japan
Cassandra Nyberg-Hoffman United States
Hajime Kurosaki Japan
Yvette Stallwood United Kingdom
Marianne G. Rots Netherlands
Raúl Alba United Kingdom
Oliver Donnelly United Kingdom
Shohei Miyamoto Japan
Emma J. West United Kingdom
Dongling Gao China
Shinnosuke Kurachi Japan View profile →
Citations per field, relative to Min Liang
Min Liang · 1×
Citations per year, relative to Min Liang
Min Liang · 1×

Countries citing papers authored by Min Liang

Since Specialization
Citations

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

Fields of papers citing papers by Min Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Min Liang. A scholar is included among the top collaborators of Min Liang 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 Min Liang. Min Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 10
2 7
3 214
4 24
5 16
6 32
7 8
8 7
9 5
10 22
11 7
12
[The complications of radiotherapy for breast cancer and the treatment for radiation ulcer].
1
13 43
14
[Effects of Exogenous Wild-Type p53 Gene on K562 Cells]
2

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026