Mi Huang
Impact in
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- Fungal Biology and Applications
- Musculoskeletal pain and rehabilitation
- Pharmacological Effects of Natural Compounds
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- Phytochemicals and Antioxidant Activities
Papers in
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- Metabolism, Diabetes, and Cancer 4
- Epidemiology 11
- Adipokines, Inflammation, and Metabolic Diseases 4
- Autophagy in Disease and Therapy 4
- Co-authors
- Xinzhou Yang (9 shared papers)Xinhua Ma (6 shared papers)Ping Zhao (4 shared papers)Shihao Deng (3 shared papers)Ping Xia (2 shared papers)Yun Huang (2 shared papers)Yanzhang Wen (2 shared papers)Wei Liu (2 shared papers)
- Journals
- Scientific Reports (2 papers)Diabetes (2 papers)PM&R (2 papers)Journal of Ethnopharmacology (2 papers)Investigative Ophthalmology & Visual Science (2 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Mi Huang
42 papers receiving 444 citations
Peers
Comparison fields: 5 of 84
- Pharmacology 85
- Biochemistry 30
- Pathology and Forensic Medicine 80
- Endocrinology, Diabetes and Metabolism 64
- Pharmacology 32
Countries citing papers authored by Mi Huang
This map shows the geographic impact of Mi Huang'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 Mi Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Huang more than expected).
Fields of papers citing papers by Mi Huang
This network shows the impact of papers produced by Mi Huang. 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 Mi Huang. The network helps show where Mi Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi Huang, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 65 | |
| 2 | 2017 | 57 | |
| 3 | 2017 | 40 | |
| 4 | 2019 | 34 | |
| 5 | 2016 | 28 | |
| 6 | 2020 | 22 | |
| 7 | 2018 | 18 | |
| 8 | 2021 | 13 | |
| 9 | 2017 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2020 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2018 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2025 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2025 | 5 |
About Mi Huang
Mi Huang is a scholar working on Molecular Biology, Epidemiology, Surgery, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 49 papers that have together received 449 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Autophagy in Disease and Therapy (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Adipose Tissue and Metabolism (4 papers), Natural Antidiabetic Agents Studies (3 papers), Microbial Fuel Cells and Bioremediation (3 papers), Microbial infections and disease research (3 papers) and Pelvic and Acetabular Injuries (3 papers). The work is most often cited by research in Pharmacology (85 citations), Biochemistry (30 citations), Pathology and Forensic Medicine (80 citations), Endocrinology, Diabetes and Metabolism (64 citations) and Pharmacology (32 citations). Mi Huang has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Xinzhou Yang, Xinhua Ma, Ping Zhao, Shihao Deng, Ping Xia, Yun Huang, Yanzhang Wen, Wei Liu, Jing Feng and Mingrui Xiong. Their work appears in journals such as Scientific Reports, Diabetes, PM&R, Journal of Ethnopharmacology and Investigative Ophthalmology & Visual Science.
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.