Jun Mi
Impact in
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- MicroRNA in disease regulation
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- Ubiquitin and proteasome pathways
- Extracellular vesicles in disease
Papers in
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- Porphyrin and Phthalocyanine Chemistry 6
- Phase-change materials and chalcogenides 5
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- Ubiquitin and proteasome pathways 4
- Melanoma and MAPK Pathways 3
- Co-authors
- Shixiong Qian (14 shared papers)Lijun Guo (7 shared papers)Ye Liu (6 shared papers)Xunwei Wu (9 shared papers)Guohong Ma (5 shared papers)Tianyong Sun (2 shared papers)Wei Li (1 shared paper)Song Shen (1 shared paper)
- Journals
- Chinese Physics Letters (3 papers)Frontiers in Cell and Developmental Biology (2 papers)PLoS Genetics (2 papers)Solid State Communications (2 papers)Journal of Non-Crystalline Solids (2 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Jun Mi
36 papers receiving 827 citations
Jun Mi's Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 131
- Molecular Biology 397
- Oncology 142
- Physical and Theoretical Chemistry 46
- Materials Chemistry 223
Countries citing papers authored by Jun Mi
This map shows the geographic impact of Jun 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 Jun Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mi more than expected).
Fields of papers citing papers by Jun Mi
This network shows the impact of papers produced by Jun 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 Jun Mi. The network helps show where Jun Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Mi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment Hit paper breakdown → | 2023 | 144 |
| 2 | 2009 | 102 | |
| 3 | 2003 | 60 | |
| 4 | 2022 | 46 | |
| 5 | 2002 | 44 | |
| 6 | 2001 | 40 | |
| 7 | 2017 | 39 | |
| 8 | 2018 | 38 | |
| 9 | 2022 | 37 | |
| 10 | 2003 | 36 | |
| 11 | 2013 | 29 | |
| 12 | 2021 | 24 | |
| 13 | 2001 | 20 | |
| 14 | 2020 | 16 | |
| 15 | 2005 | 16 | |
| 16 | 2004 | 15 | |
| 17 | 2014 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 2002 | 14 | |
| 20 | 2005 | 12 |
About Jun Mi
Jun Mi is a scholar working on Materials Chemistry, Molecular Biology, Biomedical Engineering, Physical and Theoretical Chemistry and Electrical and Electronic Engineering, having authored 36 papers that have together received 845 indexed citations. Recurring topics across this work include Nonlinear Optical Materials Studies (13 papers), Photochemistry and Electron Transfer Studies (7 papers), Porphyrin and Phthalocyanine Chemistry (6 papers), Phase-change materials and chalcogenides (5 papers), Nonlinear Optical Materials Research (4 papers), Ubiquitin and proteasome pathways (4 papers), Melanoma and MAPK Pathways (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (131 citations), Molecular Biology (397 citations), Oncology (142 citations), Physical and Theoretical Chemistry (46 citations) and Materials Chemistry (223 citations). Jun Mi has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Shixiong Qian, Lijun Guo, Ye Liu, Xunwei Wu, Guohong Ma, Tianyong Sun, Wei Li, Song Shen, Yaoqin Gong and Xiaoli Ji. Their work appears in journals such as Chinese Physics Letters, Frontiers in Cell and Developmental Biology, PLoS Genetics, Solid State Communications and Journal of Non-Crystalline Solids.
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.