Baoming Mi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
- Co-authors
- Qian Hua (4 shared papers)Gang Huang (3 shared papers)Fei Xu (2 shared papers)Li Zhao (2 shared papers)Jun Wen (1 shared paper)Jianjun Liu (1 shared paper)Mingming Jin (1 shared paper)Tian Li (1 shared paper)
- Journals
- Theranostics (2 papers)Contrast Media & Molecular Imaging (1 paper)Critical Reviews in Oncology/Hematology (1 paper)Journal of Hematology & Oncology (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaFijiUnited States
In The Last Decade
Baoming Mi
14 papers receiving 580 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 301
- Immunology and Allergy 31
- Molecular Biology 308
- Radiology, Nuclear Medicine and Imaging 93
- Oncology 83
Countries citing papers authored by Baoming Mi
This map shows the geographic impact of Baoming 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 Baoming Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoming Mi more than expected).
Fields of papers citing papers by Baoming Mi
This network shows the impact of papers produced by Baoming 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 Baoming Mi. The network helps show where Baoming Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Baoming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 199 | |
| 2 | 2020 | 192 | |
| 3 | 2015 | 55 | |
| 4 | 2015 | 45 | |
| 5 | 2019 | 27 | |
| 6 | 2018 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2018 | 14 | |
| 9 | 2016 | 7 | |
| 10 | 2011 | 5 | |
| 11 | 2012 | 3 | |
| 12 | A Rare Case of Hepatoid Adenocarcinoma in the Lung and Literature Review | 2019 | 1 |
| 13 | 2015 | 1 | |
| 14 | 2016 | 1 | |
| 15 | 2020 | 1 |
About Baoming Mi
Baoming Mi is a scholar working on Surgery, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Molecular Biology, having authored 15 papers that have together received 584 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), RNA modifications and cancer (2 papers), Testicular diseases and treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), RNA Research and Splicing (1 paper) and Infectious Diseases and Tuberculosis (1 paper). The work is most often cited by research in Cancer Research (301 citations), Immunology and Allergy (31 citations), Molecular Biology (308 citations), Radiology, Nuclear Medicine and Imaging (93 citations) and Oncology (83 citations). Baoming Mi has collaborated with scholars based in China, Fiji and United States. Frequent co-authors include Qian Hua, Gang Huang, Fei Xu, Li Zhao, Jun Wen, Jianjun Liu, Jianjun Liu, Mingming Jin, Tian Li and Chunjing Yu. Their work appears in journals such as Theranostics, Contrast Media & Molecular Imaging, Critical Reviews in Oncology/Hematology, Journal of Hematology & Oncology and Biochemical and Biophysical Research Communications.
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.