Yang Mi
Impact in
- Microbiology top 5%
- Reproductive tract infections research
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 7
- Circular RNAs in diseases 5
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 4
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- Cancer-related molecular mechanisms research 6
- Co-authors
- Thomas F. Meyer (5 shared papers)Cindrilla Chumduri (4 shared papers)Rajendra Kumar Gurumurthy (4 shared papers)Pengyuan Zheng (20 shared papers)Feifei Ren (9 shared papers)Yingwu Mei (6 shared papers)Youcai Tang (8 shared papers)Ihtisham Bukhari (12 shared papers)
- Journals
- Cancer Science (2 papers)Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (2 papers)Disease Markers (1 paper)Frontiers in Microbiology (1 paper)mBio (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Yang Mi
45 papers receiving 811 citations
Peers
Comparison fields: 5 of 96
- Microbiology 88
- Cancer Research 133
- Immunology 105
- Molecular Biology 316
- Oncology 109
Countries citing papers authored by Yang Mi
This map shows the geographic impact of Yang 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 Yang Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Mi more than expected).
Fields of papers citing papers by Yang Mi
This network shows the impact of papers produced by Yang 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 Yang Mi. The network helps show where Yang Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 128 | |
| 2 | 2020 | 53 | |
| 3 | 2021 | 51 | |
| 4 | 2019 | 47 | |
| 5 | 2020 | 40 | |
| 6 | 2015 | 38 | |
| 7 | 2020 | 37 | |
| 8 | 2019 | 32 | |
| 9 | 2021 | 29 | |
| 10 | 2023 | 29 | |
| 11 | 2022 | 28 | |
| 12 | 2018 | 27 | |
| 13 | 2016 | 24 | |
| 14 | 2018 | 21 | |
| 15 | 2024 | 21 | |
| 16 | 2019 | 20 | |
| 17 | 2022 | 17 | |
| 18 | 2024 | 15 | |
| 19 | 2024 | 15 | |
| 20 | 2021 | 14 |
About Yang Mi
Yang Mi is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Immunology, having authored 47 papers that have together received 815 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (4 papers), Ferroptosis and cancer prognosis (4 papers), Bladder and Urothelial Cancer Treatments (3 papers) and Reproductive tract infections research (3 papers). The work is most often cited by research in Microbiology (88 citations), Cancer Research (133 citations), Immunology (105 citations), Molecular Biology (316 citations) and Oncology (109 citations). Yang Mi has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Thomas F. Meyer, Cindrilla Chumduri, Rajendra Kumar Gurumurthy, Pengyuan Zheng, Feifei Ren, Yingwu Mei, Youcai Tang, Ihtisham Bukhari, Kai Zhang and Yan Xu. Their work appears in journals such as Cancer Science, Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics, Disease Markers, Frontiers in Microbiology and mBio.
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.