Lichun Han

810 citations
30 papers · 605 · h-index 14

Impact in

    • Cellular Mechanics and Interactions
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Lichun Han

26 papers receiving 597 citations

Peers

Lichun Han
Comparison fields: 5 of 97
  • Cell Biology 90
  • Cancer Research 68
  • Anesthesiology and Pain Medicine 23
  • Biomaterials 60
  • Oncology 104
Replace Miao Tian with:
Miao Tian China
Hye‐Mi Kim South Korea
Sebastian Greenhough United Kingdom
Susmita Bhattacharya India
Piotr Siupka Denmark
Rafael Peláez Spain
Hsiang-Ling Huang Taiwan
Cristina D’Aniello Italy
Yugang Liu China
Hyun Jeong Oh South Korea
Lichun Han relative to Miao Tian China Miao Tian's profile →
Citations per field
00.5×3.8×
Miao Tian · 1×
Citations per year

Countries citing papers authored by Lichun Han

Since Specialization
Citations

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

Fields of papers citing papers by Lichun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202293
2 201987
3 202277
4 201758
5 201832
6 201931
7 201929
8 202024
9 196622
10 202421
11 202421
12 200619
13 202416
14 202314
15 202011
16 20249
17 20207
18 20247
19 20256
20 20105

About Lichun Han

Lichun Han is a scholar working on Plant Science, Molecular Biology, Biomedical Engineering, Oncology and Biomaterials, having authored 30 papers that have together received 605 indexed citations. Recurring topics across this work include Postharvest Quality and Shelf Life Management (4 papers), Cancer Cells and Metastasis (3 papers), Cellular Mechanics and Interactions (3 papers), 3D Printing in Biomedical Research (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Circular RNAs in diseases (2 papers), Nanocomposite Films for Food Packaging (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Cell Biology (90 citations), Cancer Research (68 citations), Anesthesiology and Pain Medicine (23 citations), Biomaterials (60 citations) and Oncology (104 citations). Lichun Han has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Feng Xu, Fei Li, Yaowei Yang, Wei Ding, Lijian Zhang, Wei Wang, Jie Zhang, Lei Ma, Hamed Tavakoli and Xiujun Li. Their work appears in journals such as Postharvest Biology and Technology, Food Chemistry, Journal of Surgical Research, CyTA - Journal of Food and RNA Biology.

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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