Min Shao

2.6k total citations · 1 hit paper
65 papers, 1.9k citations indexed

About

Min Shao is a scholar working on Molecular Biology, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Min Shao has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 20 papers in Plant Science and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Min Shao's work include Plant tissue culture and regeneration (11 papers), Plant Pathogenic Bacteria Studies (8 papers) and Plant-Microbe Interactions and Immunity (7 papers). Min Shao is often cited by papers focused on Plant tissue culture and regeneration (11 papers), Plant Pathogenic Bacteria Studies (8 papers) and Plant-Microbe Interactions and Immunity (7 papers). Min Shao collaborates with scholars based in China, United States and Macao. Min Shao's co-authors include C.L. Nikias, Rama Chellappa, T. Simchony, Kenneth E. Barner, James G. Thomson, Xuewen Gao, Russell C. Hardie, Feng Wang, Zhen Wu and Anqi Wang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Min Shao

62 papers receiving 1.8k citations

Hit Papers

Signal processing with fractional lower order moments: st... 1993 2026 2004 2015 1993 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Shao China 18 559 548 415 368 355 65 1.9k
Yusu Wang United States 25 357 0.6× 158 0.3× 302 0.7× 461 1.3× 32 0.1× 113 1.6k
Hong Chen China 22 260 0.5× 91 0.2× 82 0.2× 574 1.6× 137 0.4× 136 1.6k
Ivan Dokmanić Switzerland 15 232 0.4× 419 0.8× 148 0.4× 166 0.5× 24 0.1× 58 1.3k
Steven Gold United States 12 181 0.3× 264 0.5× 169 0.4× 1.1k 3.0× 36 0.1× 16 1.6k
Francisco Tirado Spain 19 80 0.1× 113 0.2× 825 2.0× 325 0.9× 44 0.1× 97 2.0k
Jian Jin China 19 314 0.6× 266 0.5× 363 0.9× 157 0.4× 30 0.1× 124 1.3k
Bin Ma China 27 74 0.1× 480 0.9× 861 2.1× 2.1k 5.8× 131 0.4× 189 4.0k
Zhirong Yang Finland 19 84 0.2× 100 0.2× 202 0.5× 367 1.0× 124 0.3× 65 1.1k
Haoqian Wang China 26 185 0.3× 81 0.1× 130 0.3× 1.5k 4.2× 80 0.2× 144 3.0k
Thomas Unterthiner Austria 13 135 0.2× 170 0.3× 654 1.6× 2.0k 5.4× 48 0.1× 22 3.7k

Countries citing papers authored by Min Shao

Since Specialization
Citations

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

Fields of papers citing papers by Min Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Min Shao. A scholar is included among the top collaborators of Min Shao 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 Shao. Min Shao 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
1.
He, Hua, Haoyang Yu, Hefeng Zhou, Guozhen Cui, & Min Shao. (2025). Natural Compounds as Modulators of Ferroptosis: Mechanistic Insights and Therapeutic Prospects in Breast Cancer. Biomolecules. 15(9). 1308–1308.
3.
Shao, Min, et al.. (2024). Evaluation of 21 different media on shoot regeneration in 11 cultivars of citrus using juvenile tissue. Plant Cell Tissue and Organ Culture (PCTOC). 158(1). 2 indexed citations
4.
Shao, Min, Chen Zhao, Haitao Li, et al.. (2024). J24335 exerts neuroprotective effects against 6-hydroxydopamine-induced lesions in PC12 cells and mice. European Journal of Pharmaceutical Sciences. 194. 106696–106696. 1 indexed citations
5.
Yu, Chao‐Wu, Chen Zhao, Min Shao, et al.. (2023). Antagonizing pathological α-synuclein-mediated neurodegeneration by J24335 via the activation of immunoproteasome. Toxicology and Applied Pharmacology. 480. 116745–116745. 2 indexed citations
6.
Zhang, Hao, Min Shao, Xinyu Li, et al.. (2023). Herbivory by Striped Stem Borer Triggers Polyamine Accumulation in Host Rice Plants to Promote Its Larval Growth. Plants. 12(18). 3249–3249. 3 indexed citations
7.
Zhou, Hefeng, Min Shao, Chuwen Li, et al.. (2019). Tetramethylpyrazine Analogue T-006 Exerts Neuroprotective Effects against 6-Hydroxydopamine-Induced Parkinson’s Disease In Vitro and In Vivo. Oxidative Medicine and Cellular Longevity. 2019. 1–14. 22 indexed citations
8.
Zhu, Kai, Min Shao, Dan Zhou, et al.. (2019). Functional analysis of Leifsonia xyli subsp. xyli membrane protein gene Lxx18460 (anti-sigma K). BMC Microbiology. 19(1). 2–2. 3 indexed citations
9.
Chen, Daoqian, Min Shao, Tingting Liu, et al.. (2019). Enhancement of Jasmonate-Mediated Antiherbivore Defense Responses in Tomato by Acetic Acid, a Potent Inducer for Plant Protection. Frontiers in Plant Science. 10. 764–764. 11 indexed citations
10.
Sun, Youqiang, Yuhao Liu, Wei He, et al.. (2018). Cajaninstilbene acid inhibits osteoporosis through suppressing osteoclast formation and RANKL‐induced signaling pathways. Journal of Cellular Physiology. 234(7). 11792–11804. 16 indexed citations
12.
Wu, Wei-Li, Lixia Fan, Yu Zhang, et al.. (2017). The cytoplasmic translocation of Cx32 mediates cisplatin resistance in ovarian cancer cells. Biochemical and Biophysical Research Communications. 487(2). 292–299. 14 indexed citations
13.
Wang, Guang, et al.. (2012). Cloning and Functional Analysis of Magnaporthe oryzae-Induced Promoter OsQ16p in Rice. ACTA AGRONOMICA SINICA. 38(6). 980–987. 3 indexed citations
14.
Shao, Min. (2012). Silencing of OsDUF500 Gene in Rice Enhances Resistance to Xanthomonas oryzae pv. oryzae. Zhongguo shuidao kexue. 1 indexed citations
15.
Shao, Min, et al.. (2008). Resistance of hrf1 Transgenic Rice to Ustilaginoidea virens. Journal of Biological Control. 24(4). 335–338. 1 indexed citations
16.
Shao, Min, Jinsheng Wang, Ralph A. Dean, et al.. (2007). Expression of a harpin‐encoding gene in rice confers durable nonspecific resistance to Magnaporthe grisea. Plant Biotechnology Journal. 6(1). 73–81. 65 indexed citations
17.
Hardie, Russell C., et al.. (2006). Improved optimization of soft-partition-weighted-sum filters and their application to image restoration. Applied Optics. 45(12). 2697–2697. 4 indexed citations
18.
Li, Ming, Min Shao, Xuzhong Lu, & Jinsheng Wang. (2005). Biological Activities of Purified Harpin<sub>Xoo</sub> and Harpin<sub>Xoo</sub> Detection in Transgenic Plants Using Its Polyclonal Antibody. Acta Biochimica et Biophysica Sinica. 37(10). 713–718. 4 indexed citations
19.
Shao, Min, et al.. (2004). Transformation of rice with hrfA_(Xoo) gene and resistance of transgenic plants to bacterial leaf blight. Nanjing Nongye Daxue xuebao. 27(4). 36–40. 4 indexed citations
20.
Shao, Min, et al.. (2002). An interference cancellation algorithm for non-invasive extraction of TaFEEG. 4. 3040–3043. 2 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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