Michael Qi Ding
Impact in
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- Liver physiology and pathology
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- Cancer Genomics and Diagnostics
Papers in
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- Liver physiology and pathology 2
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- Computational Drug Discovery Methods 3
- Co-authors
- Xinghua Lu (3 shared papers)Gregory F. Cooper (1 shared paper)Lujia Chen (1 shared paper)William C. Bowen (2 shared papers)Anne V. Orr (2 shared papers)George K. Michalopoulos (2 shared papers)Donna Beer Stolz (2 shared papers)Yu Hsuan Carol Yang (1 shared paper)
- Journals
- PLoS ONE (2 papers)Neuromodulation Technology at the Neural Interface (1 paper)Molecular Cancer Research (1 paper)npj Systems Biology and Applications (1 paper)Aging Cell (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Michael Qi Ding
7 papers receiving 309 citations
Peers
Comparison fields: 5 of 76
- Hepatology 52
- Cancer Research 39
- Computational Theory and Mathematics 50
- Geriatrics and Gerontology 9
- Health Informatics 4
Countries citing papers authored by Michael Qi Ding
This map shows the geographic impact of Michael Qi Ding'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 Michael Qi Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Qi Ding more than expected).
Fields of papers citing papers by Michael Qi Ding
This network shows the impact of papers produced by Michael Qi Ding. 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 Michael Qi Ding. The network helps show where Michael Qi Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Qi Ding, 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 | 2017 | 122 | |
| 2 | 2014 | 110 | |
| 3 | 2017 | 30 | |
| 4 | 2014 | 23 | |
| 5 | 2016 | 17 | |
| 6 | 2020 | 9 | |
| 7 | Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention | 2020 | 1 |
| 8 | 2023 | 0 | |
| 9 | Predicting cancer drug effectiveness with deep learning artificial intelligence. | 2020 | 0 |
About Michael Qi Ding
Michael Qi Ding is a scholar working on Hepatology, Computational Theory and Mathematics, Molecular Biology, Biophysics and Endocrine and Autonomic Systems, having authored 9 papers that have together received 312 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Liver physiology and pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), Gene expression and cancer classification (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Hepatology (52 citations), Cancer Research (39 citations), Computational Theory and Mathematics (50 citations), Geriatrics and Gerontology (9 citations) and Health Informatics (4 citations). Michael Qi Ding has collaborated with scholars based in United States and China. Frequent co-authors include Xinghua Lu, Gregory F. Cooper, Lujia Chen, William C. Bowen, Anne V. Orr, George K. Michalopoulos, Donna Beer Stolz, Yu Hsuan Carol Yang, Shirish Paranjpe and Josiah E. Radder. Their work appears in journals such as PLoS ONE, Neuromodulation Technology at the Neural Interface, Molecular Cancer Research, npj Systems Biology and Applications and Aging Cell.
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.