Hanwei Cui

617 citations
15 papers · 395 · h-index 8

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research

Papers in

    • Circular RNAs in diseases 3
    • RNA Research and Splicing 2
    • Extracellular vesicles in disease 2
    • MicroRNA in disease regulation 2
    • Cancer-related molecular mechanisms research 2

Hanwei Cui

15 papers receiving 390 citations

Peers

Hanwei Cui
Comparison fields: 5 of 59
  • Immunology 171
  • Oncology 163
  • Cancer Research 60
  • Molecular Biology 179
  • Genetics 65
Replace Xiaohui Si with:
Xiaohui Si China
Petra Minder United States
Pilvi Maliniemi Finland
Ruth A. Salmon Canada
Matteo Boretto Belgium
Kina Smith United States
Nicolas Chuvin France
Hong Seo Choi South Korea
Ute Jäger Germany
Adrija Kalviša Denmark
Hanwei Cui relative to Xiaohui Si China Xiaohui Si's profile →
Citations per field
00.5×8.3×
Xiaohui Si · 1×
Citations per year

Countries citing papers authored by Hanwei Cui

Since Specialization
Citations

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

Fields of papers citing papers by Hanwei Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2020138
2 201866
3 201661
4 201847
5 201333
6 202211
7 20199
8 20237
9 20236
10 20215
11 20135
12 20133
13 20222
14 20241
15 20241

About Hanwei Cui

Hanwei Cui is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Epidemiology, having authored 15 papers that have together received 395 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (2 papers), Virus-based gene therapy research (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Immune Cell Function and Interaction (2 papers), Extracellular vesicles in disease (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Immunology (171 citations), Oncology (163 citations), Cancer Research (60 citations), Molecular Biology (179 citations) and Genetics (65 citations). Hanwei Cui has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jianhua Yu, Michael A. Caligiuri, Ahmet Yılmaz, Liling Tang, Jianying Zhang, Qian Yi, Jianguo Feng, Li Yang, Ping Yi and Liang Chen. Their work appears in journals such as Biomedicine & Pharmacotherapy, Nature Biotechnology, Applied Sciences, Cancer Biomarkers and Journal of Molecular Endocrinology.

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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