Min Liu

9.2k total citations
283 papers, 6.8k citations indexed

About

Min Liu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Min Liu has authored 283 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Molecular Biology, 81 papers in Immunology and 28 papers in Oncology. Recurrent topics in Min Liu's work include Immune Cell Function and Interaction (23 papers), Aquaculture disease management and microbiota (19 papers) and interferon and immune responses (13 papers). Min Liu is often cited by papers focused on Immune Cell Function and Interaction (23 papers), Aquaculture disease management and microbiota (19 papers) and interferon and immune responses (13 papers). Min Liu collaborates with scholars based in China, United States and Singapore. Min Liu's co-authors include Qiang Zhou, Yuhua Xue, Nanhai He, Shideng Bao, Gaoliang Ouyang, Tom Alber, Seemay Chou, Xiao-Fan Wang, Zhi Huang and Xuefang Bai and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Min Liu

256 papers receiving 6.7k citations

Peers

Min Liu
Comparison fields: 5 of 182
  • Molecular Biology 3.2k
  • Immunology 1.8k
  • Oncology 985
  • Cancer Research 733
  • Cardiology and Cardiovascular Medicine 486
Replace Hua Li with:
Hua Li China
Gary Hardiman United States
Ken‐ichi Arai Japan
Li Zhan China
Albert A. Rizvanov Russia
Jean‐François Nicolas France
Shuangbin Xu China
Takashi Morita Japan
Paul Theodor Pyl Sweden
Wenyu Lin United States
Hua Li China View profile →
Citations per field, relative to Min Liu
Min Liu · 1×
Citations per year, relative to Min Liu
Min Liu · 1×

Countries citing papers authored by Min Liu

Since Specialization
Citations

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

Fields of papers citing papers by Min Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Min Liu. A scholar is included among the top collaborators of Min Liu 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 Liu. Min Liu 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 3
2 1
3 1
4 1
5 1
6 1
7 6
8 1
9 1
10 0
11 2
12 68
13 21
14 18
15 3
16 31
17
MicroRNA-187 suppresses the proliferation migration and invasion of human osteosarcoma cells by targeting MAPK7.
5
18 82
19
Bromodomain 4 protein is a predictor of survival for urothelial carcinoma of bladder.
14
20 4

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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