Min Huang

3.1k citations
114 papers · 2.4k indexed · h-index 25
Topics
Cancer-related molecular mechanisms research (10 papers)MicroRNA in disease regulation (9 papers)Circular RNAs in diseases (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEAdvanced Functional Materials

In The Last Decade

Min Huang

103 papers receiving 2.4k citations

Peers

Min Huang
Comparison fields: 5 of 146
  • Molecular Biology 1.2k
  • Pharmacology 531
  • Cancer Research 513
  • Pharmacology 501
  • Oncology 246
Replace Shih‐Lan Hsu with:
Shih‐Lan Hsu Taiwan
Eun Hee Han South Korea
Su Hyun Hong South Korea
Hui Zhao China
Ghulam Jilany Khan China
Yuanyan Liu China
Xiangchun Shen China
Min Ho Han South Korea
Jian‐Dong Jiang China
Zhuorong Li China
Min Huang relative to Shih‐Lan Hsu Taiwan Shih‐Lan Hsu's profile →
Citations per field
00.5×
Shih‐Lan Hsu · 1×
Citations per year

Countries citing papers authored by Min Huang

Since Specialization
Citations

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

Fields of papers citing papers by Min Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Min Huang. A scholar is included among the top collaborators of Min Huang 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 Huang. Min Huang 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
#WorkIndexed citations
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2 0
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5 3
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7 8
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14 0
15 0
16
Dynamics Analysis of Load Cabin Carried by High-Altitude Balloons in Near Space
1
17 243
18
[Induction of UGT1A1 expression by praeruptorin A and praeruptorin C through hCAR pathway].
1
19
Apoptosis mechanism of Lentinus edodes C91-3 apoptosis protein 24414 on human lung cancer cell line A549
1
20
Multimedia-aided Teaching and the Educational Reform of Common Computer Courses
2

About Min Huang

Min Huang is a scholar working on Cancer Research, Pharmacology and Molecular Biology, having authored 114 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers) and Circular RNAs in diseases (8 papers). The work is most often cited by research in Pharmacology (501 citations), Cancer Research (513 citations) and Pharmacology (531 citations). Min Huang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yiquan Ke, Chi‐Yu He, Ru Feng, Jia‐Wen Shou, Xinlin Sun, Xiang‐Shan Tan, Chao Ma, Jian‐Dong Jiang, Zhenxiong Zhao and Jihui Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.

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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