Minghui Gu
Impact in
- Animal Science and Zoology top 5%
- Meat and Animal Product Quality
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
Papers in
-
- Identification and Quantification in Food 4
-
- Meat and Animal Product Quality 10
- Co-authors
- Xiaoyi Zhao (4 shared papers)Yongfeng Liu (3 shared papers)Peihui Wu (2 shared papers)Wei‐Ming Liao (2 shared papers)Dequan Zhang (7 shared papers)Zhiqi Zhang (3 shared papers)Ziji Zhang (7 shared papers)Yang Jiao (3 shared papers)
- Journals
- Food Chemistry (3 papers)Frontiers in Neurology (3 papers)International Journal of Food Science & Technology (2 papers)Journal of Biomedical Materials Research Part A (2 papers)Food Research International (2 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Minghui Gu
46 papers receiving 757 citations
Peers
Comparison fields: 5 of 118
- Animal Science and Zoology 97
- Rehabilitation 62
- Rheumatology 128
- Cancer Research 99
- Human-Computer Interaction 26
Countries citing papers authored by Minghui Gu
This map shows the geographic impact of Minghui Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghui Gu more than expected).
Fields of papers citing papers by Minghui Gu
This network shows the impact of papers produced by Minghui Gu. 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 Gu. The network helps show where Minghui Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghui Gu, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 123 | |
| 2 | 2019 | 90 | |
| 3 | 2018 | 64 | |
| 4 | 2019 | 60 | |
| 5 | 2023 | 45 | |
| 6 | 2022 | 39 | |
| 7 | 2022 | 37 | |
| 8 | 2020 | 23 | |
| 9 | 2018 | 21 | |
| 10 | 2023 | 20 | |
| 11 | 2023 | 20 | |
| 12 | 2020 | 19 | |
| 13 | 2023 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2024 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2025 | 8 |
About Minghui Gu
Minghui Gu is a scholar working on Molecular Biology, Animal Science and Zoology, Neurology, Rehabilitation and Surgery, having authored 55 papers that have together received 768 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (10 papers), Stroke Rehabilitation and Recovery (8 papers), Botulinum Toxin and Related Neurological Disorders (7 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Identification and Quantification in Food (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Orthopaedic implants and arthroplasty (3 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Animal Science and Zoology (97 citations), Rehabilitation (62 citations), Rheumatology (128 citations), Cancer Research (99 citations) and Human-Computer Interaction (26 citations). Minghui Gu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Xiaoyi Zhao, Yongfeng Liu, Peihui Wu, Wei‐Ming Liao, Dequan Zhang, Zhiqi Zhang, Ziji Zhang, Yang Jiao, Ze‐Jian Chen and Siew Young Quek. Their work appears in journals such as Food Chemistry, Frontiers in Neurology, International Journal of Food Science & Technology, Journal of Biomedical Materials Research Part A and Food Research International.
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.