He Cui

681 citations
24 papers · 527 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Epigenetics and DNA Methylation 6
    • Cancer-related gene regulation 4
    • RNA and protein synthesis mechanisms 3
    • RNA modifications and cancer 3
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 3

He Cui

23 papers receiving 526 citations

Peers

He Cui
Comparison fields: 5 of 81
  • Cancer Research 227
  • Aging 12
  • Molecular Biology 384
  • Immunology 66
  • Cellular and Molecular Neuroscience 56
Replace Su Wu with:
Su Wu United States
Cristina Aguilera Spain
Baoming Qin China
Michelle Percharde United Kingdom
Moyra Lawrence United Kingdom
Moonsup Lee United States
Barbara Mlody Germany
Yuru Liu United States
Samuel R. Meier United States
Yoh-ichi Kawabe Japan
He Cui relative to Su Wu United States Su Wu's profile →
Citations per field
00.5×2.7×
Su Wu · 1×
Citations per year

Countries citing papers authored by He Cui

Since Specialization
Citations

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

Fields of papers citing papers by He Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside He Cui, 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 He Cui Line = papers co-authored together He Cui 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 201178
2 201878
3 201565
4 201855
5 201549
6 201544
7 201728
8 201425
9 201521
10 201819
11 202412
12 20159
13 20248
14
Molecular mechanisms of long chain non-coding RNA CTBP1-AS in regulation of invasion and migration of breast cancer cells.
20198
15 20167
16 20197
17 20245
18 20244
19 20251
20 20251

About He Cui

He Cui is a scholar working on Molecular Biology, Cancer Research, Immunology, Biomedical Engineering and Materials Chemistry, having authored 24 papers that have together received 527 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Nanoplatforms for cancer theranostics (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer-related gene regulation (4 papers), MicroRNA in disease regulation (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers) and Advanced Nanomaterials in Catalysis (3 papers). The work is most often cited by research in Cancer Research (227 citations), Aging (12 citations), Molecular Biology (384 citations), Immunology (66 citations) and Cellular and Molecular Neuroscience (56 citations). He Cui has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Pihai Gong, Hong Fan, Zhujiang Zhao, Fengchang Qiao, Huazhang Wu, Rongping Zhou, Hua Zhang, Ying� Qin, Yiping Li and Chengcheng Zhao. Their work appears in journals such as Journal of Pharmaceutical Analysis, PLoS ONE, Scientific Reports, Gene and Oncology Reports.

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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