Mingli Han

2.0k citations
24 papers · 859 · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • Extracellular vesicles in disease

Papers in

    • Circular RNAs in diseases 5
    • RNA modifications and cancer 3
    • RNA Research and Splicing 3
    • Glutathione Transferases and Polymorphisms 1
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 6

Mingli Han

22 papers receiving 847 citations

Peers

Mingli Han
Comparison fields: 5 of 71
  • Cancer Research 529
  • Molecular Biology 608
  • Oncology 152
  • Geriatrics and Gerontology 6
  • Immunology 34
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Citations per field
00.5×3.1×
Weihao Li · 1×
Citations per year

Countries citing papers authored by Mingli Han

Since Specialization
Citations

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

Fields of papers citing papers by Mingli Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012214
2 2012118
3 202081
4 202056
5 201545
6 202045
7 201740
8 201639
9 202137
10 201836
11 202132
12 201929
13 202026
14 202019
15 201611
16
lncRNA GHET1 knockdown suppresses breast cancer activity in vitro and in vivo.
201911
17 20235
18 20214
19
[Advancement of studies on ALDH1 as a universal marker of stem cells].
20104
20 20153

About Mingli Han

Mingli Han is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pharmacology, having authored 24 papers that have together received 859 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Cancer Cells and Metastasis (2 papers), Mesenchymal stem cell research (2 papers) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Cancer Research (529 citations), Molecular Biology (608 citations), Oncology (152 citations), Geriatrics and Gerontology (6 citations) and Immunology (34 citations). Mingli Han has collaborated with scholars based in China and Macao. Frequent co-authors include Yimeng Wang, Manran Liu, Dongwei Dou, Yuanting Gu, Xin Ge, Hongbo Qu, Chun‐Ying Wu, Yan Sun, Liuyang Zhao and Yuanming Fan. Their work appears in journals such as Journal of Biomedical Science, Cancer Cell International, Archives of Biochemistry and Biophysics, Diagnostic Pathology and PLoS ONE.

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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