Ming-Xi Liu

1.4k citations
13 papers · 1.1k indexed · 1 hit paper · h-index 8
Topics
Circular RNAs in diseases (3 papers)Cancer-related molecular mechanisms research (3 papers)Computational Drug Discovery Methods (2 papers)
Partner nations
ChinaSingapore

In The Last Decade

Ming-Xi Liu

13 papers receiving 1.1k citations

Hit Papers

Drug–target interaction prediction by random walk on the ...20122026201620212012100200300400

Peers

Ming-Xi Liu
Comparison fields: 5 of 83
  • Molecular Biology 947
  • Cancer Research 542
  • Computational Theory and Mathematics 356
  • Materials Chemistry 66
  • Pharmacology 56
Replace Chun-Chun Wang with:
Chun-Chun Wang China
Haixiu Yang China
Yajie Meng China
Krishna C. Bulusu United Kingdom
Junlin Xu China
Xiaorui Su China
Na‐Na Guan China
Wenhua Kuang China
Ali Ezzat Singapore
Minjie Mou China
Ming-Xi Liu relative to Chun-Chun Wang China Chun-Chun Wang's profile →
Citations per field
00.5×20×40×57.5×
Chun-Chun Wang · 1×
Citations per year

Countries citing papers authored by Ming-Xi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Xi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Xi Liu

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 3
2 1
3 2
4 4
5 14
6 63
7 23
8 110
9 70
10
Drug–target interaction prediction by random walk on the heterogeneous networkbreakdown →
417
11 366
12 54
13
[Expression of annexin A7 in spermatogonial stem cells].
1

About Ming-Xi Liu

Ming-Xi Liu is a scholar working on Internal Medicine, Complementary and alternative medicine and Cancer Research, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Cancer Research (542 citations), Computational Theory and Mathematics (356 citations) and Molecular Biology (947 citations). Ming-Xi Liu has collaborated with scholars based in China and Singapore. Frequent co-authors include Guiying Yan, Xing Chen, Xing Chen, Qinghua Cui, Xing Chen, Geng Chen, Xing Chen, Liqian Zhou, Lihong Peng and Yan Zhao. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology and International Journal of Cardiology.

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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