Minghui Lin
Impact in
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- Herbal Medicine Research Studies
- Complementary and Alternative Medicine Studies
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- Liver physiology and pathology
Papers in
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- Identification and Quantification in Food 2
- Inflammasome and immune disorders 2
- Genomics and Phylogenetic Studies 2
- Genetics 5
- Genetic diversity and population structure 4
- Co-authors
- Deepak Kumar (5 shared papers)Suryakant Niture (5 shared papers)John T. Moore (5 shared papers)Ching Yuan Hu (1 shared paper)Nien‐Chu Fan (1 shared paper)Li-Chen Wu (1 shared paper)Keith E. Levine (2 shared papers)Reshan A. Fernando (2 shared papers)
- Journals
- Environmental Toxicology (1 paper)Cell Reports (1 paper)PeerJ (1 paper)Journal of Agricultural and Food Chemistry (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Minghui Lin
19 papers receiving 463 citations
Peers
Comparison fields: 5 of 76
- Complementary and alternative medicine 69
- Hepatology 36
- Health, Toxicology and Mutagenesis 61
- Cancer Research 52
- Pharmacology 31
Countries citing papers authored by Minghui Lin
This map shows the geographic impact of Minghui Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghui Lin more than expected).
Fields of papers citing papers by Minghui Lin
This network shows the impact of papers produced by Minghui Lin. 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 Lin. The network helps show where Minghui Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghui Lin, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 116 | |
| 2 | 2021 | 57 | |
| 3 | 2021 | 52 | |
| 4 | 2020 | 43 | |
| 5 | 2021 | 38 | |
| 6 | 2014 | 33 | |
| 7 | 2023 | 24 | |
| 8 | 2017 | 19 | |
| 9 | 2019 | 18 | |
| 10 | 2018 | 15 | |
| 11 | 2017 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2020 | 9 | |
| 14 | 2012 | 7 | |
| 15 | 2025 | 6 | |
| 16 | 2025 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Minghui Lin
Minghui Lin is a scholar working on Molecular Biology, Genetics, Epidemiology, Nature and Landscape Conservation and Nephrology, having authored 24 papers that have together received 475 indexed citations. Recurring topics across this work include Genetic diversity and population structure (4 papers), Autophagy in Disease and Therapy (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Fish Ecology and Management Studies (2 papers), Identification and Quantification in Food (2 papers), Inflammasome and immune disorders (2 papers), Genomics and Phylogenetic Studies (2 papers) and Heavy Metal Exposure and Toxicity (2 papers). The work is most often cited by research in Complementary and alternative medicine (69 citations), Hepatology (36 citations), Health, Toxicology and Mutagenesis (61 citations), Cancer Research (52 citations) and Pharmacology (31 citations). Minghui Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Deepak Kumar, Suryakant Niture, John T. Moore, Ching Yuan Hu, Nien‐Chu Fan, Li-Chen Wu, Keith E. Levine, Reshan A. Fernando, Bo Zhou and Xiujuan Yin. Their work appears in journals such as Environmental Toxicology, Cell Reports, PeerJ, Journal of Agricultural and Food Chemistry and Stem Cell Research & Therapy.
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.