Ming Qi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
- Protease and Inhibitor Mechanisms 4
- Oncology 21
- Peptidase Inhibition and Analysis 9
- Co-authors
- Lijuan Deng (13 shared papers)Rejean L. Idzerda (5 shared papers)G. Stanley McKnight (5 shared papers)Dong-Mei Zhang (10 shared papers)Jiaxu Chen (6 shared papers)Eugene P. Brandon (4 shared papers)Yuhe Lei (7 shared papers)Wen-Yu Lyu (5 shared papers)
- Journals
- Journal of Clinical Investigation (4 papers)Journal of Chromatography B (3 papers)Microbial Pathogenesis (3 papers)Proceedings of the National Academy of Sciences (2 papers)International Immunopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Qi
136 papers receiving 3.6k citations
Ming Qi's Hit Papers
Peers
Comparison fields: 5 of 152
- Cancer Research 451
- Cellular and Molecular Neuroscience 425
- Molecular Biology 1.5k
- Oncology 547
- Cardiology and Cardiovascular Medicine 387
Countries citing papers authored by Ming Qi
This map shows the geographic impact of Ming Qi'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 Ming Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Qi more than expected).
Fields of papers citing papers by Ming Qi
This network shows the impact of papers produced by Ming Qi. 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 Ming Qi. The network helps show where Ming Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Qi, 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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 354 | |
| 2 | m6A modification: recent advances, anticancer targeted drug discovery and beyond Hit paper breakdown → | 2022 | 286 |
| 3 | 1995 | 225 | |
| 4 | 2010 | 205 | |
| 5 | 1995 | 188 | |
| 6 | 2020 | 159 | |
| 7 | 2011 | 144 | |
| 8 | 1998 | 129 | |
| 9 | 2011 | 100 | |
| 10 | 2013 | 92 | |
| 11 | 2018 | 74 | |
| 12 | 2020 | 74 | |
| 13 | 2021 | 67 | |
| 14 | 2022 | 61 | |
| 15 | 2018 | 61 | |
| 16 | 2023 | 56 | |
| 17 | 2023 | 55 | |
| 18 | 2018 | 53 | |
| 19 | 2021 | 51 | |
| 20 | 2017 | 50 |
About Ming Qi
Ming Qi is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 148 papers that have together received 3.7k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (9 papers), Gut microbiota and health (7 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Nanoplatforms for cancer theranostics (5 papers), Protease and Inhibitor Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Lanthanide and Transition Metal Complexes (4 papers). The work is most often cited by research in Cancer Research (451 citations), Cellular and Molecular Neuroscience (425 citations), Molecular Biology (1.5k citations), Oncology (547 citations) and Cardiology and Cardiovascular Medicine (387 citations). Ming Qi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lijuan Deng, Rejean L. Idzerda, G. Stanley McKnight, Dong-Mei Zhang, Jiaxu Chen, Eugene P. Brandon, Yuhe Lei, Wen-Yu Lyu, Qi Qi and Minfeng Chen. Their work appears in journals such as Journal of Clinical Investigation, Journal of Chromatography B, Microbial Pathogenesis, Proceedings of the National Academy of Sciences and International Immunopharmacology.
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.