Mu Su

1.4k total citations
46 papers, 1.0k citations indexed

About

Mu Su is a scholar working on Molecular Biology, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mu Su has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Artificial Intelligence and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mu Su's work include Face and Expression Recognition (5 papers), Genomics and Chromatin Dynamics (5 papers) and Epigenetics and DNA Methylation (5 papers). Mu Su is often cited by papers focused on Face and Expression Recognition (5 papers), Genomics and Chromatin Dynamics (5 papers) and Epigenetics and DNA Methylation (5 papers). Mu Su collaborates with scholars based in China, Taiwan and United States. Mu Su's co-authors include Michael Brenner, Albee Messing, Youngjin Lee, Eugene Lai, Zhemin Duan, Zehua Guo, H. Jonathan Chao, Yang Xu, Huimin Hu and Alessandra d’Azzo and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Mu Su

43 papers receiving 979 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mu Su China	14	488	210	131	131	126	46	1.0k
Guohua Jin China	24	850 1.7×	288 1.4×	158 1.2×	164 1.3×	235 1.9×	112	1.8k
Xuan Wang China	16	244 0.5×	93 0.4×	190 1.5×	44 0.3×	38 0.3×	82	847
Annie Liu United States	14	244 0.5×	207 1.0×	27 0.2×	75 0.6×	41 0.3×	32	823
Cody J. Smith United States	19	337 0.7×	387 1.8×	116 0.9×	144 1.1×	18 0.1×	46	1.4k
Peter Bösch United States	19	312 0.6×	316 1.5×	328 2.5×	36 0.3×	66 0.5×	61	1.4k
Zhian Liu China	24	280 0.6×	110 0.5×	155 1.2×	108 0.8×	21 0.2×	50	1.5k
David Ko United States	20	153 0.3×	154 0.7×	244 1.9×	193 1.5×	80 0.6×	38	1.5k
Young Seek Lee South Korea	22	663 1.4×	143 0.7×	177 1.4×	213 1.6×	55 0.4×	63	1.4k
Satoshi Okawa Japan	17	811 1.7×	100 0.5×	73 0.6×	21 0.2×	51 0.4×	67	1.2k
P. Kumar United States	12	633 1.3×	185 0.9×	54 0.4×	438 3.3×	20 0.2×	51	1.4k

Countries citing papers authored by Mu Su

Since Specialization

Citations

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

Fields of papers citing papers by Mu Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mu Su

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Su, Mu, et al.. (2025). Studies of the adsorption properties of methylene blue onto the low-cost Torreya grandis aril biochar without activation. Desalination and Water Treatment. 324. 101562–101562.

Su, Mu, et al.. (2025). On the growth and form of bacterial colonies. Nature Reviews Physics. 7(10). 535–553.

Su, Mu, Jinxing Zhou, Dongdong Zhou, et al.. (2023). Potential predictive value of circulating tumor DNA (ctDNA) mutations for the efficacy of immune checkpoint inhibitors in advanced triple-negative breast cancer. Frontiers in Genetics. 14. 1125970–1125970. 5 indexed citations

Wang, Peng, et al.. (2022). Identification of mRNA Signature for Predicting Prognosis Risk of Rectal Adenocarcinoma. Frontiers in Genetics. 13. 880945–880945. 5 indexed citations

Wang, Liru, Mu Su, Hongyan Zhao, et al.. (2021). Accurate Prediction of Prognosis by Integrating Clinical and Molecular Characteristics in Colon Cancer. Frontiers in Cell and Developmental Biology. 9. 664415–664415. 9 indexed citations

Cui, Shuang, Qiong Wu, Ming Liu, et al.. (2021). EphA2 super-enhancer promotes tumor progression by recruiting FOSL2 and TCF7L2 to activate the target gene EphA2. Cell Death and Disease. 12(3). 264–264. 28 indexed citations

Gu, Yue, Xingda Zhang, Mu Su, et al.. (2019). Prediction of circRNAs Based on the DNA Methylation-Mediated Feature Sponge Function in Breast Cancer. Frontiers in Bioengineering and Biotechnology. 7. 365–365. 9 indexed citations

Gu, Yue, et al.. (2019). An analysis about heterogeneity among cancers based on the DNA methylation patterns. BMC Cancer. 19(1). 1259–1259. 13 indexed citations

Su, Mu, et al.. (2017). CT-guided versus laparoscopic radiofrequency ablation in recurrent small hepatocellular carcinoma against the diaphragmatic dome. Scientific Reports. 7(1). 44583–44583. 20 indexed citations

10.

Su, Mu, et al.. (2008). Application of SOMO Based Clustering in Building Renovation. International Journal of Fuzzy Systems. 10(3). 195–201. 6 indexed citations

11.

Lee, Youngjin, Albee Messing, Mu Su, & Michael Brenner. (2008). GFAP promoter elements required for region‐specific and astrocyte‐specific expression. Glia. 56(5). 481–493. 280 indexed citations

12.

Leeuw, B. de, Mu Su, Shingo Iwata, et al.. (2006). Increased glia‐specific transgene expression with glial fibrillary acidic protein promoters containing multiple enhancer elements. Journal of Neuroscience Research. 83(5). 744–753. 43 indexed citations

13.

Perng, Ming Der, Mu Su, Rong Li, et al.. (2006). The Alexander Disease–Causing Glial Fibrillary Acidic Protein Mutant, R416W, Accumulates into Rosenthal Fibers by a Pathway That Involves Filament Aggregation and the Association of αB-Crystallin and HSP27. The American Journal of Human Genetics. 79(2). 197–213. 97 indexed citations

14.

Su, Mu, et al.. (2003). A new cluster validity measure for clusters with different densities. 276–281. 15 indexed citations

15.

Su, Mu, et al.. (2002). A Healing Mechanism to Improve the Topological Preserving Property of Feature Maps. IEICE Transactions on Information and Systems. 85(4). 735–743. 1 indexed citations

16.

Su, Mu, et al.. (2001). Associative-Memory-Based Human Face Detection. IEICE Transactions on Information and Systems. 84(8). 1067–1074. 5 indexed citations

17.

Su, Mu, et al.. (2000). A K-means Algorithm with a Novel Non-Metric Distance. 417–420. 4 indexed citations

18.

Su, Mu, et al.. (1999). A Segmentation Method for Continuous Speech Utilizing Hybrid Neuro-Fuzzy Network.. Journal of information science and engineering. 15(4). 615–628. 8 indexed citations

19.

Su, Mu. (1996). Neuro-fuzzy approach to medical diagnosis expert systems. Biomedical Engineering Applications Basis and Communications. 8(2). 138–144. 1 indexed citations

20.

Su, Mu. (1996). Speaking aid using neural networks for the deaf. Biomedical Engineering Applications Basis and Communications. 8(4). 351–357. 1 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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