Min Lin

1.6k total citations · 1 hit paper
51 papers, 1.3k citations indexed

About

Min Lin is a scholar working on Organic Chemistry, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Min Lin has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Organic Chemistry, 13 papers in Materials Chemistry and 10 papers in Biomedical Engineering. Recurrent topics in Min Lin's work include Surfactants and Colloidal Systems (9 papers), Biosensors and Analytical Detection (8 papers) and Advanced Polymer Synthesis and Characterization (6 papers). Min Lin is often cited by papers focused on Surfactants and Colloidal Systems (9 papers), Biosensors and Analytical Detection (8 papers) and Advanced Polymer Synthesis and Characterization (6 papers). Min Lin collaborates with scholars based in China, United States and Australia. Min Lin's co-authors include Alice P. Gast, E. B. Sirota, H. E. King, Jeffrey L. Hutter, Guoying Qian, Elias Rizk, Qiyao Li, Oliver Mrowczynski, Wei Sun and Jian Yang and has published in prestigious journals such as The Journal of Chemical Physics, Physical Review B and Macromolecules.

In The Last Decade

Min Lin

45 papers receiving 1.3k citations

Hit Papers

Development of tannin-inspired antimicrobial bioadhesives 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Lin China 20 362 293 237 188 157 51 1.3k
Guylaine Ducouret France 25 692 1.9× 477 1.6× 449 1.9× 577 3.1× 529 3.4× 62 2.4k
Zhao Jin China 10 97 0.3× 389 1.3× 185 0.8× 102 0.5× 118 0.8× 39 1.1k
Zhenyu J. Zhang United Kingdom 25 123 0.3× 175 0.6× 420 1.8× 329 1.8× 63 0.4× 83 1.7k
Takashi Saitō Japan 20 222 0.6× 289 1.0× 314 1.3× 128 0.7× 149 0.9× 172 1.5k
Chris S. Hodges United Kingdom 15 122 0.3× 229 0.8× 218 0.9× 64 0.3× 70 0.4× 32 944
Yasuhiro Sakai Japan 22 447 1.2× 416 1.4× 360 1.5× 239 1.3× 259 1.6× 93 1.7k
Michael Maas Germany 21 281 0.8× 806 2.8× 538 2.3× 343 1.8× 57 0.4× 58 1.5k
Shuang Yu China 31 175 0.5× 660 2.3× 428 1.8× 389 2.1× 356 2.3× 119 2.9k
Thomas G. Nevell United Kingdom 20 193 0.5× 372 1.3× 253 1.1× 113 0.6× 125 0.8× 46 1.3k
Shane Maclaughlin Australia 24 736 2.0× 205 0.7× 300 1.3× 111 0.6× 47 0.3× 55 1.5k

Countries citing papers authored by Min Lin

Since Specialization
Citations

This map shows the geographic impact of Min 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 Min Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Lin more than expected).

Fields of papers citing papers by Min Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min 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 Min Lin. The network helps show where Min Lin may publish in the future.

Co-authorship network of co-authors of Min Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Min Lin. A scholar is included among the top collaborators of Min Lin 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 Min Lin. Min Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Lin, Min, Danni Zhou, Kaixuan Chen, et al.. (2025). Sulfated hyaluronic acid for wound repair: Mechanisms, materials, and translational challenges. Regenerative Therapy. 30. 956–968.
4.
Zhu, Zhihong, Y. Chen, Jie Lin, et al.. (2025). A novel and rapid fluorescent PfAgo detection system for hypervirulent Klebsiella pneumoniae (hvKP). Microchemical Journal. 210. 112772–112772.
5.
Wu, Jing, Yao Wang, Wenjie Chen, et al.. (2025). Harnessing stromal vascular fraction-based therapies for wound healing: Mechanisms, synergies, and clinical translation. Regenerative Therapy. 30. 692–709.
6.
Li, Junlong, Wei Huang, Rong Chen, et al.. (2025). Interdigital electrode-based quantum dot light-emitting device without carrier injection/transport layers. Science China Materials. 68(6). 1838–1846. 1 indexed citations
7.
Chen, Lianghui, Wei Cheng, Yaqun Liu, et al.. (2024). Development of an optimized RPA-PfAgo detection system for MTHFR C677T polymorphism genotyping. Gene. 922. 148544–148544. 2 indexed citations
8.
Liu, Yaqun, Li‐Yun Lin, Qiulan Luo, et al.. (2023). Design and development of a rapid meat detection system based on RPA-CRISPR/Cas12a-LFD. Current Research in Food Science. 7. 100609–100609. 6 indexed citations
9.
Lin, Min, Tingting Cui, Shaoyong Wu, et al.. (2022). Systematic evaluation of line probe assays for the diagnosis of tuberculosis and drug-resistant tuberculosis. Clinica Chimica Acta. 533. 183–218. 9 indexed citations
10.
Lin, Min, et al.. (2022). Evaluation of GeneXpert EV assay for the rapid diagnosis of enteroviral meningitis: a systematic review and meta-analysis. Annals of Clinical Microbiology and Antimicrobials. 21(1). 25–25. 4 indexed citations
11.
Lin, Min, et al.. (2022). Evaluation of the loop-mediated isothermal amplification assay for Staphylococcus aureus detection: a systematic review and meta-analysis. Annals of Clinical Microbiology and Antimicrobials. 21(1). 27–27. 7 indexed citations
12.
Yin, Xin, Min Lin, Jiana Li, et al.. (2022). Detection performance of PCR for Legionella pneumophila in environmental samples: a systematic review and meta-analysis. Annals of Clinical Microbiology and Antimicrobials. 21(1). 12–12. 7 indexed citations
13.
Zheng, Bowen, Yong Cai, Min Lin, et al.. (2021). An Interpretable Model‐Based Prediction of Severity and Crucial Factors in Patients with COVID‐19. BioMed Research International. 2021(1). 8840835–8840835. 11 indexed citations
14.
Zheng, Yuzhong, Jiang‐Tao Chen, Jian Li, et al.. (2021). Reverse Transcription Recombinase-Aided Amplification Assay With Lateral Flow Dipstick Assay for Rapid Detection of 2019 Novel Coronavirus. Frontiers in Cellular and Infection Microbiology. 11. 613304–613304. 45 indexed citations
15.
Lin, Li‐Yun, Yuzhong Zheng, Huiying Huang, et al.. (2021). A visual method to detect meat adulteration by recombinase polymerase amplification combined with lateral flow dipstick. Food Chemistry. 354. 129526–129526. 40 indexed citations
16.
Guo, Jinshan, Wei Sun, Xili Lu, et al.. (2018). Development of tannin-inspired antimicrobial bioadhesives. Acta Biomaterialia. 72. 35–44. 272 indexed citations breakdown →
17.
Tong, Yongqing, Bei Liu, Hongyun Zheng, et al.. (2016). New universal primers for genotyping and resistance detection of low HBV DNA levels. Medicine. 95(33). e4618–e4618. 5 indexed citations
18.
Goh, Hyun‐Gyung, Min Lin, Takashi Fukushima, et al.. (2011). Sensitive quantitation of minimal residual disease in chronic myeloid leukemia using nanofluidic digital polymerase chain reaction assay. Leukemia & lymphoma. 52(5). 896–904. 80 indexed citations
19.
King, H. E., et al.. (2007). Structure and rheology of organoclay suspensions. Physical Review E. 75(2). 21403–21403. 36 indexed citations
20.
Peiffer, Dennis G., S. K. Behal, M. M. Disko, et al.. (1995). Self-organization of graft copolymers at surfaces, interfaces and in bulk. Journal of the Chemical Society Faraday Transactions. 91(17). 2855–2855. 3 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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