Min Huang

11.7k citations
264 papers · 8.0k indexed · 3 hit papers · h-index 45
    • DNA Repair Mechanisms 25
    • Ubiquitin and proteasome pathways 21
    • Cancer therapeutics and mechanisms 18
    • Histone Deacetylase Inhibitors Research 17
    • Epigenetics and DNA Methylation 16
    • CRISPR and Genetic Engineering 14
    • Cancer, Hypoxia, and Metabolism 15
  • Oncology top 1%
    • Peptidase Inhibition and Analysis 17
  • Toxicology top 1%
  • Immunology top 5%

Min Huang

258 papers receiving 7.9k citations

Hit Papers

Natural Products in Cancer Therapy: Past, Present and ...4492018202620202023100200300400

Peers

Min Huang
Comparison fields: 5 of 152
  • Molecular Biology 5.4k
  • Cancer Research 1.2k
  • Oncology 1.8k
  • Toxicology 191
  • Immunology 787
Replace Xiaoguang Lei with:
Xiaoguang Lei China
Jeanne A. Stuckey United States
Eli Chapman United States
Christophe E. Redon United States
Michihiro Mutoh Japan
Wynand P. Roos Germany
James Carmichael United Kingdom
Melinda G. Hollingshead United States
Hans M. Rodermond Netherlands
Yasuko Kondo United States
Min Huang relative to Xiaoguang Lei China Xiaoguang Lei's profile →
Citations per field
00.5×3.2×
Xiaoguang Lei · 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

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20240
3 20241
4 20230
5 20232
6 20237
7 20235
8 20230
9 202310
10 202230
11
Noscapine Induces Apoptosis in Human Colon Cancer Cells by Regulating Mitochondrial Damage and Warburg Effect via PTEN/PI3K/mTOR Signaling Pathway
20202
12 201811
13 201798
14 201628
15 201569
16 201537
17 2013138
18 201259
19 200862
20 200470

About Min Huang

Min Huang is a scholar working on Toxicology, Oncology and Molecular Biology, having authored 264 papers that have together received 8.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (25 papers), Ubiquitin and proteasome pathways (21 papers), Cancer therapeutics and mechanisms (18 papers), Histone Deacetylase Inhibitors Research (17 papers), Peptidase Inhibition and Analysis (17 papers), Epigenetics and DNA Methylation (16 papers), Cancer, Hypoxia, and Metabolism (15 papers) and CRISPR and Genetic Engineering (14 papers). The work is most often cited by research in Molecular Biology (5.4k citations), Cancer Research (1.2k citations) and Oncology (1.8k citations). Min Huang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Meiyu Geng, Jian Ding, Jian Ding, Jin‐Jian Lu, Catherine C. L. Wong, Alan D. D’Andrea, Xiaotong Yang, Fei‐Fei Liu, Aijun Shen and Yigong Shi. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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