Mingxi Wang

772 citations
34 papers · 556 · h-index 16

Impact in

Papers in

Mingxi Wang

32 papers receiving 545 citations

Peers

Mingxi Wang
Comparison fields: 5 of 104
  • Endocrinology 94
  • Molecular Medicine 41
  • Cancer Research 76
  • Molecular Biology 212
  • Genetics 82
Replace Gholamreza Khamisipour with:
Gholamreza Khamisipour Iran
Sisi He China
Danièle Mathieu France
Shaun Spence United Kingdom
Jung Hoon Ahn South Korea
Ji Hyun Sim South Korea
Wen Wen China
Gorjana Rackov Spain
Andrew Yee United States
Supriya Patil India
Mingxi Wang relative to Gholamreza Khamisipour Iran Gholamreza Khamisipour's profile →
Citations per field
00.5×5.1×
Gholamreza Khamisipour · 1×
Citations per year

Countries citing papers authored by Mingxi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingxi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingxi Wang, 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 Mingxi Wang Line = papers co-authored together Mingxi Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201557
2 200746
3 201646
4 201436
5 201535
6 201529
7 201926
8 201526
9 201324
10 201522
11 201521
12 201921
13 201719
14 201617
15 201816
16 201616
17
Expression of ALDH1 and TGFβ2 in benign and malignant breast tumors and their prognostic implications.
201413
18 201712
19 201411
20 20179

About Mingxi Wang

Mingxi Wang is a scholar working on Molecular Biology, Endocrinology, Cancer Research, Oncology and Biomedical Engineering, having authored 34 papers that have together received 556 indexed citations. Recurring topics across this work include Infections and bacterial resistance (6 papers), MicroRNA in disease regulation (4 papers), RNA Research and Splicing (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Bacterial biofilms and quorum sensing (3 papers), Mycobacterium research and diagnosis (2 papers), Virus-based gene therapy research (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Endocrinology (94 citations), Molecular Medicine (41 citations), Cancer Research (76 citations), Molecular Biology (212 citations) and Genetics (82 citations). Mingxi Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ruian Xu, Xueren Gao, Desong Ming, Shaohua Hu, Yajun Zhou, Tao Jiang, Jianqiong Zhang, Yaqing Wu, Shicheng Chen and Barbara Pui Chan. Their work appears in journals such as Medicine, Tumor Biology, Journal of Pain Research, Acta Pharmaceutica Sinica B and Frontiers in Microbiology.

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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