Minhui Su

1.7k total citations · 1 hit paper
16 papers, 974 citations indexed

About

Minhui Su is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Minhui Su has authored 16 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Immunology. Recurrent topics in Minhui Su's work include Advanced biosensing and bioanalysis techniques (7 papers), Catalytic Cross-Coupling Reactions (3 papers) and Machine Learning in Bioinformatics (2 papers). Minhui Su is often cited by papers focused on Advanced biosensing and bioanalysis techniques (7 papers), Catalytic Cross-Coupling Reactions (3 papers) and Machine Learning in Bioinformatics (2 papers). Minhui Su collaborates with scholars based in China, Germany and United States. Minhui Su's co-authors include Mikael Simons, Marie‐Theres Weil, Dirk Fitzner, Ludovico Cantuti‐Castelvetri, Mišo Mitkovski, George Trendelenburg, Mar Bosch-Queralt, Dieter Lütjohann, Wiebke Möbius and Torben Ruhwedel and has published in prestigious journals such as Science, Angewandte Chemie International Edition and The Journal of Experimental Medicine.

In The Last Decade

Minhui Su

15 papers receiving 962 citations

Hit Papers

Defective cholesterol clearance limits remyelination in t... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Minhui Su China 10 460 305 182 147 147 16 974
Chiara Cordiglieri Italy 23 438 1.0× 142 0.5× 180 1.0× 99 0.7× 76 0.5× 49 1.3k
Meser M. Ali United States 22 1.1k 2.3× 154 0.5× 94 0.5× 55 0.4× 91 0.6× 48 1.9k
Eun-Hye Joe South Korea 19 531 1.2× 542 1.8× 216 1.2× 286 1.9× 125 0.9× 23 1.7k
Chiara Giacomelli Italy 25 800 1.7× 178 0.6× 132 0.7× 178 1.2× 35 0.2× 78 1.6k
Eric Brunette Canada 21 639 1.4× 322 1.1× 117 0.6× 183 1.2× 74 0.5× 35 1.4k
Diana Matias Brazil 17 496 1.1× 396 1.3× 214 1.2× 99 0.7× 49 0.3× 31 1.3k
Cláudia Saraiva Portugal 15 735 1.6× 302 1.0× 136 0.7× 204 1.4× 133 0.9× 23 1.8k
Stephanie M. Robert United States 13 453 1.0× 195 0.6× 122 0.7× 42 0.3× 74 0.5× 23 1.2k
Valle Palomo Spain 25 1.0k 2.3× 90 0.3× 96 0.5× 176 1.2× 96 0.7× 53 1.7k
Dongsheng Wu United Kingdom 20 519 1.1× 160 0.5× 100 0.5× 117 0.8× 173 1.2× 32 1.3k

Countries citing papers authored by Minhui Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Minhui Su

This figure shows the co-authorship network connecting the top 25 collaborators of Minhui Su. A scholar is included among the top collaborators of Minhui Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Minhui Su. Minhui Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Yang, Yuying, Minhui Su, Mengyuan Jiang, et al.. (2025). Systemic Delivery of an mRNA-Encoding, Tumor-Activated Interleukin-12 Lock to Eliminate Tumors and Avoid Immune-Related Adverse Events. Nano Letters. 25(38). 14096–14106.
2.
Su, Minhui, Xiaoxing Wang, Cai Yang, et al.. (2025). An aptamer-drug conjugate for promising cancer therapy with comprehensive evaluation from rodents to non-human primates. Signal Transduction and Targeted Therapy. 10(1). 316–316. 1 indexed citations
3.
Li, Juncai, Lu Wang, Ziwen Zhang, et al.. (2025). Efficient and Rapid Enrichment of Extracellular Vesicles Using DNA Nanotechnology-Enabled Synthetic Nano-Glue. Analytical Chemistry. 97(3). 1557–1564. 3 indexed citations
4.
Su, Minhui, et al.. (2024). Assessing traditional Chinese medicine from a molecular perspective. Journal of Traditional Chinese Medical Sciences. 12(1). 3–9. 1 indexed citations
5.
Zhang, Xiaojing, Zhuo Zhao, Minhui Su, et al.. (2022). A versatile strategy for convenient circular bivalent functional nucleic acids construction. National Science Review. 10(2). nwac107–nwac107. 8 indexed citations
6.
Ai, Lili, Tianhuan Peng, Yingying Li, et al.. (2021). A Dual‐Targeting Circular Aptamer Strategy Enables the Recognition of Different Leukemia Cells with Enhanced Binding Ability. Angewandte Chemie International Edition. 61(33). e202109500–e202109500. 21 indexed citations
7.
Su, Minhui, Ludovico Cantuti‐Castelvetri, Stephan A. Müller, et al.. (2020). Pro-inflammatory activation following demyelination is required for myelin clearance and oligodendrogenesis. The Journal of Experimental Medicine. 217(5). 106 indexed citations
8.
Fitzner, Dirk, Jakob M. Bader, Horst Penkert, et al.. (2020). Cell-Type- and Brain-Region-Resolved Mouse Brain Lipidome. Cell Reports. 32(11). 108132–108132. 179 indexed citations
9.
Long, Cheng‐Yu, Shao‐Fei Ni, Minhui Su, Xue‐Qiang Wang, & Weihong Tan. (2020). Highly Chemoselective Access to 2,2′-Diaminobiaryls via Ni-Catalyzed Protecting-Group-Free Coupling of 2-Haloanilines. ACS Catalysis. 10(22). 13641–13649. 12 indexed citations
10.
Tüshaus, Johanna, Stephan A. Müller, Jan Zaucha, et al.. (2020). An optimized quantitative proteomics method establishes the cell type‐resolved mouse brain secretome. The EMBO Journal. 39(20). e105693–e105693. 58 indexed citations
11.
Wang, Xia, Cheng‐Yu Long, Minhui Su, et al.. (2019). Rapid Amination of Methoxy Pyridines with Aliphatic Amines. Organic Process Research & Development. 23(8). 1587–1593. 6 indexed citations
12.
Wang, Xia, Qiuxia Yang, Cheng‐Yu Long, et al.. (2019). Anticancer-Active N-Heteroaryl Amines Syntheses: Nucleophilic Amination of N-Heteroaryl Alkyl Ethers with Amines. Organic Letters. 21(13). 5111–5115. 11 indexed citations
13.
Cantuti‐Castelvetri, Ludovico, Dirk Fitzner, Mar Bosch-Queralt, et al.. (2018). Defective cholesterol clearance limits remyelination in the aged central nervous system. Science. 359(6376). 684–688. 395 indexed citations breakdown →
14.
Pang, Xuehui, Cheng Cui, Minhui Su, et al.. (2018). Construction of self-powered cytosensing device based on ZnO nanodisks@g-C3N4 quantum dots and application in the detection of CCRF-CEM cells. Nano Energy. 46. 101–109. 88 indexed citations
15.
Pang, Xuehui, Hongjun Bian, Minhui Su, et al.. (2017). Photoelectrochemical Cytosensing of RAW264.7 Macrophage Cells Based on a TiO2 Nanoneedls@MoO3 Array. Analytical Chemistry. 89(15). 7950–7957. 42 indexed citations
16.
Pang, Xuehui, Jianni Qi, Yong Zhang, et al.. (2016). Ultrasensitive photoelectrochemical aptasensing of miR-155 using efficient and stable CH3NH3PbI3 quantum dots sensitized ZnO nanosheets as light harvester. Biosensors and Bioelectronics. 85. 142–150. 43 indexed citations

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.

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