Kun Mi

551 citations
19 papers · 386 · h-index 12

Impact in

    • Cancer Cells and Metastasis
    • Supramolecular Self-Assembly in Materials
    • Nanoparticle-Based Drug Delivery

Papers in

    • Lymphatic System and Diseases 2
    • HER2/EGFR in Cancer Research 2
    • RNA Interference and Gene Delivery 2

Kun Mi

19 papers receiving 382 citations

Peers

Kun Mi
Comparison fields: 5 of 69
  • Oncology 104
  • Biomaterials 55
  • Cancer Research 50
  • Cell Biology 53
  • Reproductive Medicine 22
Replace Bárbara Pinto with:
Bárbara Pinto Brazil
Naifu Liu China
Kathrine Damm Meyle Denmark
Stephanie J. Wang United States
Saeideh Nakhaei‐Rad Germany
Xingyue Zong United States
Suan Sun China
Paige Baldwin United States
Alexandre M.M. Dias France
Kun Mi relative to Bárbara Pinto Brazil Bárbara Pinto's profile →
Citations per field
00.5×10×14.5×
Bárbara Pinto · 1×
Citations per year

Countries citing papers authored by Kun Mi

Since Specialization
Citations

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

Fields of papers citing papers by Kun Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200954
2 202451
3 201642
4 202040
5 202130
6 201428
7 201527
8 201320
9 202320
10 201319
11 202118
12 202111
13 202110
14 20215
15 20214
16 20173
17 20252
18 20251
19
SELF-ASSEMBLING PEPTIDE RADA16 NANOFIBRE SCAFFOLD FOR A CANCER CELL THREE-DIMENSIONAL CULTURE
20091

About Kun Mi

Kun Mi is a scholar working on Oncology, Molecular Biology, Biomaterials, Pulmonary and Respiratory Medicine and Cell Biology, having authored 19 papers that have together received 386 indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Lymphatic System and Diseases (2 papers), RNA Interference and Gene Delivery (2 papers), HER2/EGFR in Cancer Research (2 papers), Autophagy in Disease and Therapy (2 papers), Ferroptosis and cancer prognosis (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Oncology (104 citations), Biomaterials (55 citations), Cancer Research (50 citations), Cell Biology (53 citations) and Reproductive Medicine (22 citations). Kun Mi has collaborated with scholars based in China and United States. Frequent co-authors include Zhihua Xing, Jia Cheng, Jianming Huang, Huifen Liu, Hao Wang, Xiaojun Zhao, Guixia Wang, Zhihua Feng, Ben Huang and Zijia Liu. Their work appears in journals such as Experimental Cell Research, Frontiers in Genetics, Oncogene, Macromolecular Bioscience and Frontiers in Oncology.

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.

Explore authors with similar magnitude of impact