Yu Amanda Guo

2.3k total citations
40 papers, 897 citations indexed

About

Yu Amanda Guo is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yu Amanda Guo has authored 40 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Cancer Research and 10 papers in Genetics. Recurrent topics in Yu Amanda Guo's work include Cancer Genomics and Diagnostics (8 papers), Advances in Cucurbitaceae Research (7 papers) and Plant Virus Research Studies (4 papers). Yu Amanda Guo is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Advances in Cucurbitaceae Research (7 papers) and Plant Virus Research Studies (4 papers). Yu Amanda Guo collaborates with scholars based in China, Singapore and United States. Yu Amanda Guo's co-authors include Anders J. Skanderup, Mei Mei Chang, Youming Lu, Shu Shu, Patrick Tan, Pei Pang, Manjie Xing, Wen Fong Ooi, You Cai and Lei Pei and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Bioinformatics.

In The Last Decade

Yu Amanda Guo

38 papers receiving 892 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Amanda Guo China 17 487 223 122 112 111 40 897
Osamu Imamura Japan 20 826 1.7× 192 0.9× 92 0.8× 106 0.9× 103 0.9× 33 1.1k
Alexander J. Valvezan United States 11 1.3k 2.6× 161 0.7× 100 0.8× 145 1.3× 178 1.6× 18 1.8k
Daniel G. Pankratz United States 11 559 1.1× 108 0.5× 114 0.9× 211 1.9× 90 0.8× 17 1.0k
Yulian Zhou United States 10 904 1.9× 98 0.4× 105 0.9× 72 0.6× 203 1.8× 12 1.3k
Michael Bidinosti Canada 14 1.1k 2.3× 109 0.5× 109 0.9× 186 1.7× 313 2.8× 17 1.7k
Devin T. Rosenthal United States 11 452 0.9× 124 0.6× 235 1.9× 43 0.4× 43 0.4× 12 802
Fumiko Shimizu Japan 14 1.2k 2.5× 140 0.6× 187 1.5× 244 2.2× 215 1.9× 47 1.7k
Wanlu Du United States 12 408 0.8× 41 0.2× 109 0.9× 84 0.8× 228 2.1× 14 939
Dianbo Qu Canada 18 720 1.5× 70 0.3× 140 1.1× 103 0.9× 219 2.0× 33 1.1k
Ram Madabhushi United States 12 1.3k 2.6× 120 0.5× 183 1.5× 280 2.5× 250 2.3× 17 1.7k

Countries citing papers authored by Yu Amanda Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yu Amanda Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Amanda Guo. 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 Yu Amanda Guo. The network helps show where Yu Amanda Guo may publish in the future.

Co-authorship network of co-authors of Yu Amanda Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Amanda Guo. A scholar is included among the top collaborators of Yu Amanda Guo 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 Yu Amanda Guo. Yu Amanda Guo 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.
Cong, Lin, Yu Amanda Guo, Lu Liu, et al.. (2025). Acupuncture alleviates CSDS-induced depressive-like behaviors by modulating synaptic plasticity in vCA1. Theranostics. 15(10). 4808–4822. 2 indexed citations
2.
Guo, Yu Amanda, Mei Mei Chang, Irfahan Kassam, et al.. (2024). Transcriptome Deconvolution Reveals Absence of Cancer Cell Expression Signature in Immune Checkpoint Blockade Response. Cancer Research Communications. 4(6). 1581–1596. 2 indexed citations
3.
Guo, Yu Amanda, et al.. (2024). Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer. Genome Research. 34(5). 680–695. 9 indexed citations
4.
Yang, Shao H., Sikandar Amanullah, Yu Amanda Guo, et al.. (2024). Fine genetic mapping and transcriptomic analysis revealed major gene modulating the clear stripe margin pattern of watermelon peel. Frontiers in Plant Science. 15. 1462141–1462141. 2 indexed citations
5.
Xu, Ming, Meiling Gao, Sikandar Amanullah, et al.. (2023). Fine genetic mapping confers a major gene controlling leaf shape variation in watermelon. Euphytica. 219(9). 5 indexed citations
6.
Li, Hewei, Sikandar Amanullah, Yu Amanda Guo, et al.. (2023). A single nucleotide mutation in ClphyB gene is associated with a short lateral branch phenotype in watermelon. Scientia Horticulturae. 321. 112378–112378. 3 indexed citations
7.
Liu, Qi, et al.. (2022). Perineural invasion-associated biomarkers for tumor development. Biomedicine & Pharmacotherapy. 155. 113691–113691. 51 indexed citations
8.
9.
Liu, Man, Wanming Hu, Yixuan Zhang, et al.. (2022). Clinical implications of immune checkpoint markers and immune infiltrates in patients with thymic neuroendocrine neoplasms. Frontiers in Oncology. 12. 917743–917743. 1 indexed citations
10.
Ghoshdastider, Umesh, Neha Rohatgi, Marjan Mojtabavi Naeini, et al.. (2021). Pan-Cancer Analysis of Ligand–Receptor Cross-talk in the Tumor Microenvironment. Cancer Research. 81(7). 1802–1812. 48 indexed citations
11.
Guo, Yu Amanda, Meiling Gao, Xiaoxue Liang, et al.. (2020). Quantitative Trait Loci for Seed Size Variation in Cucurbits – A Review. Frontiers in Plant Science. 11. 304–304. 32 indexed citations
12.
Guo, Yu Amanda, Mei Mei Chang, & Anders J. Skanderup. (2020). MutSpot: detection of non-coding mutation hotspots in cancer genomes. npj Genomic Medicine. 5(1). 26–26. 12 indexed citations
13.
Chouvardas, Panagiotis, Ioanna Giopanou, Yu Amanda Guo, et al.. (2019). Wnt1 silences chemokine genes in dendritic cells and induces adaptive immune resistance in lung adenocarcinoma. Nature Communications. 10(1). 1405–1405. 75 indexed citations
14.
Guo, Yu Amanda, et al.. (2019). SMuRF: portable and accurate ensemble prediction of somatic mutations. Bioinformatics. 35(17). 3157–3159. 13 indexed citations
15.
Cai, You, Yufen Zhang, Yu Amanda Guo, et al.. (2019). Transcriptome Sequencing Unravels Potential Biomarkers at Different Stages of Cerebral Ischemic Stroke. Frontiers in Genetics. 10. 814–814. 27 indexed citations
16.
Jin, Jiawei, Xiaoqian Shi, Yongchao Li, et al.. (2018). Reticulocalbin 3 Deficiency in Alveolar Epithelium Exacerbated Bleomycin-induced Pulmonary Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 59(3). 320–333. 21 indexed citations
17.
Guo, Yu Amanda, Zilong Wang, You Li, et al.. (2016). Lateralization of gene expression in the honeybee brain during olfactory learning. Scientific Reports. 6(1). 34727–34727. 16 indexed citations
18.
Pei, Lei, Shan Wang, Huijuan Jin, et al.. (2015). A Novel Mechanism of Spine Damages in Stroke via DAPK1 and Tau. Cerebral Cortex. 25(11). 4559–4571. 65 indexed citations
19.
Ma, Xiaoping, et al.. (2014). Gene Expression Profiling of Human Kidneys Undergoing Laparoscopic Donor Nephrectomy. JSLS Journal of the Society of Laparoscopic & Robotic Surgeons. 18(1). 102–109. 3 indexed citations
20.
Liu, Zhipeng, Xuegang Luo, Lei Liu, et al.. (2013). Histone acetyltransferase p300 promotes MKL1-mediated transactivation of catechol-<italic>O</italic>-methyltransferase gene. Acta Biochimica et Biophysica Sinica. 45(12). 1002–1010. 7 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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