Mi Yang

2.9k total citations
31 papers, 1.4k citations indexed

About

Mi Yang is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Mi Yang has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Computational Theory and Mathematics. Recurrent topics in Mi Yang's work include Computational Drug Discovery Methods (5 papers), Natural product bioactivities and synthesis (3 papers) and Pomegranate: compositions and health benefits (3 papers). Mi Yang is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Natural product bioactivities and synthesis (3 papers) and Pomegranate: compositions and health benefits (3 papers). Mi Yang collaborates with scholars based in United States, China and United Kingdom. Mi Yang's co-authors include Brad St. Croix, Steven Seaman, Daniel Logsdon, Janine Stevens, Cari Graff‐Cherry, Julio Sáez-Rodríguez, Mary Beth Hilton, Weimin Zhang, Chen Hou and Amit Chaudhary and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Cell and Cancer Research.

In The Last Decade

Mi Yang

30 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mi Yang United States 18 883 260 235 138 131 31 1.4k
Ying Sun China 24 1.1k 1.2× 392 1.5× 379 1.6× 162 1.2× 207 1.6× 93 2.1k
Ke Wu China 21 800 0.9× 227 0.9× 189 0.8× 122 0.9× 114 0.9× 86 1.5k
Raymond Wu United States 17 1.1k 1.2× 226 0.9× 146 0.6× 182 1.3× 71 0.5× 24 1.9k
Sang Joon Lee South Korea 25 810 0.9× 270 1.0× 308 1.3× 106 0.8× 242 1.8× 84 1.9k
Dong Joon Kim China 25 1.4k 1.5× 404 1.6× 320 1.4× 191 1.4× 137 1.0× 58 2.0k
Jian-Shu Lou China 22 864 1.0× 279 1.1× 171 0.7× 126 0.9× 232 1.8× 51 1.6k
Chia‐Ron Yang Taiwan 25 1.0k 1.2× 230 0.9× 316 1.3× 263 1.9× 92 0.7× 56 1.7k
Hao Luo China 24 748 0.8× 269 1.0× 360 1.5× 183 1.3× 175 1.3× 93 1.7k
Rakesh Naidu Malaysia 27 1.2k 1.4× 464 1.8× 484 2.1× 177 1.3× 168 1.3× 91 2.4k
Eric Boitier France 21 878 1.0× 260 1.0× 150 0.6× 80 0.6× 92 0.7× 38 1.4k

Countries citing papers authored by Mi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mi Yang. A scholar is included among the top collaborators of Mi Yang 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 Mi Yang. Mi Yang 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.
Silva, Késia Esther da, Takashi Yokoyama, Makhan Maharjan, et al.. (2025). Rapid, low-cost colorimetric detection of Salmonella Typhi bacteriophages for environmental surveillance. mBio. 16(9). e0196325–e0196325.
2.
Kong, Linghui, Qun Zhang, Lei Cheng, et al.. (2021). A dual-targeted molecular therapy of PP242 and cetuximab plays an anti-tumor effect through EGFR downstream signaling pathways in colorectal cancer. Journal of Gastrointestinal Oncology. 12(4). 1625–1642. 4 indexed citations
3.
Tognetti, Marco, Attila Gábor, Mi Yang, et al.. (2021). Deciphering the signaling network of breast cancer improves drug sensitivity prediction. Cell Systems. 12(5). 401–418.e12. 27 indexed citations
4.
Yang, Mi, Patricia Jaaks, Jonathan R. Dry, et al.. (2020). Stratification and prediction of drug synergy based on target functional similarity. npj Systems Biology and Applications. 6(1). 16–16. 41 indexed citations
5.
Najgebauer, Hanna, Mi Yang, Hayley E. Francies, et al.. (2020). CELLector: Genomics-Guided Selection of Cancer In Vitro Models. Cell Systems. 10(5). 424–432.e6. 27 indexed citations
6.
Du, Lin, Jianke Li, Xitong Zhang, et al.. (2019). Pomegranate peel polyphenols inhibits inflammation in LPS-induced RAW264.7 macrophages via the suppression of TLR4/NF-κB pathway activation. Food & Nutrition Research. 63(0). 115 indexed citations
7.
César‐Razquin, Adrián, Enrico Girardi, Mi Yang, et al.. (2018). In silico Prioritization of Transporter–Drug Relationships From Drug Sensitivity Screens. Frontiers in Pharmacology. 9. 1011–1011. 18 indexed citations
8.
Jia, Yan, et al.. (2018). Quantitative Proteomics Analysis of Membrane Proteins in Enterococcus faecalis With Low-Level Linezolid-Resistance. Frontiers in Microbiology. 9. 1698–1698. 15 indexed citations
9.
Yang, Mi, Jaak Simm, Chi Chung Lam, et al.. (2018). Linking drug target and pathway activation for effective therapy using multi-task learning. Scientific Reports. 8(1). 8322–8322. 34 indexed citations
10.
Yang, Mi, Baojie Wang, Fan Hu, et al.. (2018). Synergy between crystal seeds and amphiphilic organosilane surfactant: A facile approach for mesoporous ZSM–5 with high SiO 2 /Al 2 O 3 ratio. Materials Letters. 222. 153–155. 6 indexed citations
11.
Dry, Jonathan R., Mi Yang, & Julio Sáez-Rodríguez. (2016). Looking beyond the cancer cell for effective drug combinations. Genome Medicine. 8(1). 125–125. 26 indexed citations
12.
13.
Yang, Mi, Mary Beth Hilton, Steven Seaman, et al.. (2013). Essential Regulation of Lung Surfactant Homeostasis by the Orphan G Protein-Coupled Receptor GPR116. Cell Reports. 3(5). 1457–1464. 55 indexed citations
14.
Yang, Mi, Amit Chaudhary, Steven Seaman, et al.. (2010). The cell surface structure of tumor endothelial marker 8 (TEM8) is regulated by the actin cytoskeleton. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1813(1). 39–49. 35 indexed citations
15.
Killian, Jonathan Keith, Mi Yang, Robert L. Walker, et al.. (2010). Epigenomic alterations and gene expression profiles in respiratory epithelia exposed to cigarette smoke condensate. Oncogene. 29(25). 3650–3664. 217 indexed citations
16.
Seaman, Steven, Amit Chaudhary, Mi Yang, et al.. (2009). Host-Derived Tumor Endothelial Marker 8 Promotes the Growth of Melanoma. Cancer Research. 69(15). 6021–6026. 60 indexed citations
17.
18.
Yang, Mi, Young Hae Choi, Hosup Yeo, & Jinwoong Kim. (2001). A new triterpene lactone from the roots ofPatrinia scabiosaefolia. Archives of Pharmacal Research. 24(5). 416–417. 12 indexed citations
19.
Lee, Ji Suk, et al.. (1999). Uncarinic acids: Phospholipase Cγ1 inhibitors from hooks of Uncaria rhynchophylla. Bioorganic & Medicinal Chemistry Letters. 9(10). 1429–1432. 23 indexed citations
20.
Yang, Mi, et al.. (1994). Phenolic compounds fromDuchesnea chrysantha and their cytotoxic activities in human cancer cell. Archives of Pharmacal Research. 17(6). 476–479. 47 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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