Minhui Su
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Advanced biosensing and bioanalysis techniques 7
- RNA Interference and Gene Delivery 2
- Machine Learning in Bioinformatics 2
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- Catalytic Cross-Coupling Reactions 3
- Catalytic C–H Functionalization Methods 2
- Co-authors
- Mikael Simons (4 shared papers)Marie‐Theres Weil (2 shared papers)Dirk Fitzner (2 shared papers)Ludovico Cantuti‐Castelvetri (2 shared papers)Wiebke Möbius (1 shared paper)Mišo Mitkovski (1 shared paper)George Trendelenburg (1 shared paper)Dieter Lütjohann (1 shared paper)
- Journals
- Analytical Chemistry (2 papers)Signal Transduction and Targeted Therapy (1 paper)Cell Reports (1 paper)Nano Letters (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Minhui Su
18 papers receiving 1.1k citations
Minhui Su's Hit Papers
Peers
Comparison fields: 5 of 90
- Developmental Neuroscience 152
- Neurology 299
- Immunology 177
- Molecular Biology 496
- Physiology 144
Countries citing papers authored by Minhui Su
This map shows the geographic impact of Minhui Su'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 Minhui Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minhui Su more than expected).
Fields of papers citing papers by Minhui Su
This network shows the impact of papers produced by Minhui Su. 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 Minhui Su. The network helps show where Minhui Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Minhui Su, 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 | Defective cholesterol clearance limits remyelination in the aged central nervous system Hit paper breakdown → | 2018 | 414 |
| 2 | 2020 | 189 | |
| 3 | 2020 | 114 | |
| 4 | 2018 | 90 | |
| 5 | 2020 | 60 | |
| 6 | 2016 | 44 | |
| 7 | 2017 | 42 | |
| 8 | 2019 | 34 | |
| 9 | 2021 | 23 | |
| 10 | 2018 | 23 | |
| 11 | 2020 | 13 | |
| 12 | 2019 | 12 | |
| 13 | 2022 | 8 | |
| 14 | 2019 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 |
About Minhui Su
Minhui Su is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Surgery and Oncology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), Catalytic Cross-Coupling Reactions (3 papers), Advanced Photocatalysis Techniques (2 papers), RNA Interference and Gene Delivery (2 papers), Cholesterol and Lipid Metabolism (2 papers), Catalytic C–H Functionalization Methods (2 papers), Machine Learning in Bioinformatics (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Developmental Neuroscience (152 citations), Neurology (299 citations), Immunology (177 citations), Molecular Biology (496 citations) and Physiology (144 citations). Minhui Su has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Mikael Simons, Marie‐Theres Weil, Dirk Fitzner, Ludovico Cantuti‐Castelvetri, Wiebke Möbius, Mišo Mitkovski, George Trendelenburg, Dieter Lütjohann, Torben Ruhwedel and Mar Bosch-Queralt. Their work appears in journals such as Analytical Chemistry, Signal Transduction and Targeted Therapy, Cell Reports, Nano Letters and International Immunopharmacology.
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.