Chaoshan Han

893 citations
22 papers · 730 · h-index 11

Impact in

    • MicroRNA in disease regulation
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications

Papers in

    • MicroRNA in disease regulation 6
    • Extracellular vesicles in disease 10
    • RNA Interference and Gene Delivery 6
    • Circular RNAs in diseases 3
    • Mitochondrial Function and Pathology 2

Chaoshan Han

20 papers receiving 725 citations

Peers

Chaoshan Han
Comparison fields: 5 of 71
  • Cancer Research 217
  • Biomaterials 159
  • Molecular Biology 532
  • Rehabilitation 23
  • Genetics 36
Replace Mu‐Nung Hsu with:
Mu‐Nung Hsu Taiwan
Mangesh Dattu Hade India
Ning Ran China
Haishuang Lin China
Vesna Bucan Germany
Candace W.-C. Kao United States
Peter D. Mariner United States
Rong Shao United States
Louis J. Born United States
Alessandra Melo de Aguiar Brazil
Chaoshan Han relative to Mu‐Nung Hsu Taiwan Mu‐Nung Hsu's profile →
Citations per field
00.5×2×3×4.3×
Mu‐Nung Hsu · 1×
Citations per year

Countries citing papers authored by Chaoshan Han

Since Specialization
Citations

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

Fields of papers citing papers by Chaoshan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019242
2 2021147
3 2019129
4 201439
5 202035
6 202131
7 201721
8 201718
9 202114
10 201413
11 202211
12 20238
13 20227
14 20216
15 20193
16 20252
17 20231
18 20221
19 20201
20 20221

About Chaoshan Han

Chaoshan Han is a scholar working on Cancer Research, Molecular Biology, Biomaterials, Cellular and Molecular Neuroscience and Physiology, having authored 22 papers that have together received 730 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (10 papers), RNA Interference and Gene Delivery (6 papers), MicroRNA in disease regulation (6 papers), Neurobiology and Insect Physiology Research (3 papers), Circular RNAs in diseases (3 papers), Adipose Tissue and Metabolism (3 papers), Silk-based biomaterials and applications (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cancer Research (217 citations), Biomaterials (159 citations), Molecular Biology (532 citations), Rehabilitation (23 citations) and Genetics (36 citations). Chaoshan Han has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Gangjian Qin, Junjie Yang, Jiacheng Sun, Yangxin Li, Chun Liang, Jin Zhou, Bin Liu, Xiangbin Pan, Yanli Wang and Feng Liu. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Frontiers in Cell and Developmental Biology, The FASEB Journal, International Journal of Nanomedicine and Biomaterials Science.

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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