Minghui Shi
Impact in
- Geriatrics and Gerontology top 10%
-
- Glycosylation and Glycoproteins Research
- Gut microbiota and health
Papers in
-
- Gut microbiota and health 7
- Co-authors
- Changle Zhou (13 shared papers)Fei Chao (11 shared papers)Wei Hao (1 shared paper)Stoyan N. Angelov (1 shared paper)David A. Dichek (1 shared paper)Nathan Airhart (1 shared paper)Jie Hu (1 shared paper)Wengong Yu (3 shared papers)
- Journals
- BMC Pulmonary Medicine (2 papers)Glycobiology (2 papers)PLoS ONE (2 papers)Frontiers in Microbiology (2 papers)Tetrahedron (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Minghui Shi
72 papers receiving 727 citations
Peers
Comparison fields: 5 of 140
- Geriatrics and Gerontology 36
- Molecular Biology 237
- Immunology 66
- Physiology 14
- Human-Computer Interaction 16
Countries citing papers authored by Minghui Shi
This map shows the geographic impact of Minghui Shi'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 Minghui Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghui Shi more than expected).
Fields of papers citing papers by Minghui Shi
This network shows the impact of papers produced by Minghui Shi. 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 Minghui Shi. The network helps show where Minghui Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghui Shi, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 100 | |
| 2 | 2017 | 89 | |
| 3 | 2023 | 72 | |
| 4 | 2018 | 31 | |
| 5 | 2017 | 31 | |
| 6 | 2024 | 28 | |
| 7 | 2017 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2015 | 18 | |
| 10 | 2018 | 18 | |
| 11 | 2018 | 16 | |
| 12 | 2022 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 2017 | 13 | |
| 15 | 2010 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2018 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2019 | 11 |
About Minghui Shi
Minghui Shi is a scholar working on Molecular Biology, Artificial Intelligence, Control and Systems Engineering, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 81 papers that have together received 740 indexed citations. Recurring topics across this work include Gut microbiota and health (7 papers), EEG and Brain-Computer Interfaces (6 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Gaze Tracking and Assistive Technology (5 papers), Neuroscience and Neural Engineering (3 papers), Wildlife Ecology and Conservation (3 papers), Metal and Thin Film Mechanics (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Geriatrics and Gerontology (36 citations), Molecular Biology (237 citations), Immunology (66 citations), Physiology (14 citations) and Human-Computer Interaction (16 citations). Minghui Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Changle Zhou, Fei Chao, Wei Hao, Stoyan N. Angelov, David A. Dichek, Nathan Airhart, Jie Hu, Wengong Yu, Yuchao Gu and Peer Fischer. Their work appears in journals such as BMC Pulmonary Medicine, Glycobiology, PLoS ONE, Frontiers in Microbiology and Tetrahedron.
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.