Xiaoyi Mi
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
Papers in
-
- Epigenetics and DNA Methylation 6
- DNA Repair Mechanisms 4
-
- NF-κB Signaling Pathways 6
- Carcinogens and Genotoxicity Assessment 3
- Co-authors
- Enhua Wang (14 shared papers)Minjie Wei (10 shared papers)Lin Zhao (11 shared papers)Zhaojin Yu (11 shared papers)Xuefeng Bai (9 shared papers)Min Song (6 shared papers)Weifan Yao (6 shared papers)Feng Jin (6 shared papers)
- Journals
- Oncology Reports (3 papers)Molecular Carcinogenesis (2 papers)PLoS ONE (2 papers)Tumor Biology (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Xiaoyi Mi
41 papers receiving 774 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 222
- Oncology 205
- Molecular Biology 530
- Immunology 71
- Immunology and Allergy 18
Countries citing papers authored by Xiaoyi Mi
This map shows the geographic impact of Xiaoyi 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 Xiaoyi Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyi Mi more than expected).
Fields of papers citing papers by Xiaoyi Mi
This network shows the impact of papers produced by Xiaoyi 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 Xiaoyi Mi. The network helps show where Xiaoyi Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyi 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 76 | |
| 2 | 2014 | 53 | |
| 3 | 2014 | 51 | |
| 4 | 2015 | 49 | |
| 5 | 2012 | 39 | |
| 6 | 2012 | 37 | |
| 7 | 2014 | 37 | |
| 8 | 2010 | 31 | |
| 9 | 2015 | 31 | |
| 10 | 2015 | 25 | |
| 11 | 2013 | 24 | |
| 12 | 2014 | 22 | |
| 13 | 2012 | 21 | |
| 14 | 2014 | 21 | |
| 15 | 2014 | 19 | |
| 16 | 2013 | 19 | |
| 17 | 2015 | 18 | |
| 18 | 2012 | 16 | |
| 19 | 2020 | 14 | |
| 20 | 2008 | 13 |
About Xiaoyi Mi
Xiaoyi Mi is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Genetics, having authored 42 papers that have together received 780 indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Epigenetics and DNA Methylation (6 papers), NF-κB Signaling Pathways (6 papers), DNA Repair Mechanisms (4 papers), Cancer-related Molecular Pathways (4 papers), Cell Adhesion Molecules Research (4 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Cancer Research (222 citations), Oncology (205 citations), Molecular Biology (530 citations), Immunology (71 citations) and Immunology and Allergy (18 citations). Xiaoyi Mi has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Enhua Wang, Minjie Wei, Lin Zhao, Zhaojin Yu, Xuefeng Bai, Min Song, Weifan Yao, Feng Jin, Fan Yang and Bailin Li. Their work appears in journals such as Oncology Reports, Molecular Carcinogenesis, PLoS ONE, Tumor Biology 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.