Ming Qi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- Gut microbiota and health 7
- Oncology 17
- Peptidase Inhibition and Analysis 7
- Co-authors
- G. Stanley McKnight (5 shared papers)Rejean L. Idzerda (5 shared papers)Lijuan Deng (12 shared papers)Dongmei Zhang (10 shared papers)Jiaxu Chen (6 shared papers)Eugene P. Brandon (4 shared papers)Yuhe Lei (6 shared papers)Qi Qi (6 shared papers)
- Journals
- Journal of Chromatography B (3 papers)Microbial Pathogenesis (3 papers)International Immunopharmacology (2 papers)Journal of Nanobiotechnology (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Qi
131 papers receiving 3.5k citations
Ming Qi's Hit Papers
Peers
Comparison fields: 5 of 154
- Cancer Research 396
- Cellular and Molecular Neuroscience 426
- Molecular Biology 1.4k
- Oncology 471
- Cardiology and Cardiovascular Medicine 353
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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 317 | |
| 2 | m6A modification: recent advances, anticancer targeted drug discovery and beyond Hit paper breakdown → | 2022 | 266 |
| 3 | 1995 | 233 | |
| 4 | 1995 | 191 | |
| 5 | 2010 | 190 | |
| 6 | 2020 | 156 | |
| 7 | 2011 | 139 | |
| 8 | 1998 | 129 | |
| 9 | 2011 | 96 | |
| 10 | 2013 | 87 | |
| 11 | 2018 | 70 | |
| 12 | 2020 | 68 | |
| 13 | 2021 | 63 | |
| 14 | 1998 | 63 | |
| 15 | 2018 | 62 | |
| 16 | 2021 | 59 | |
| 17 | 2023 | 50 | |
| 18 | 2023 | 50 | |
| 19 | 2018 | 50 | |
| 20 | 2021 | 49 |
About Ming Qi
Ming Qi is a scholar working on Molecular Biology, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 144 papers that have together received 3.5k indexed citations. Recurring topics across this work include Gut microbiota and health (7 papers), Peptidase Inhibition and Analysis (7 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Nanoplatforms for cancer theranostics (5 papers), Medical Imaging Techniques and Applications (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cancer Research (396 citations), Cellular and Molecular Neuroscience (426 citations), Molecular Biology (1.4k citations), Oncology (471 citations) and Cardiology and Cardiovascular Medicine (353 citations). Ming Qi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include G. Stanley McKnight, Rejean L. Idzerda, Lijuan Deng, Dongmei Zhang, Jiaxu Chen, Eugene P. Brandon, Yuhe Lei, Qi Qi, Wen-Yu Lyu and Minfeng Chen. Their work appears in journals such as Journal of Chromatography B, Microbial Pathogenesis, International Immunopharmacology, Journal of Nanobiotechnology and European Journal of Nuclear Medicine and Molecular Imaging.
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.