Yiyang Wu

1.8k total citations
32 papers, 978 citations indexed

About

Yiyang Wu is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Yiyang Wu has authored 32 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Oncology. Recurrent topics in Yiyang Wu's work include Genomics and Rare Diseases (6 papers), Genomics and Phylogenetic Studies (5 papers) and Micro and Nano Robotics (3 papers). Yiyang Wu is often cited by papers focused on Genomics and Rare Diseases (6 papers), Genomics and Phylogenetic Studies (5 papers) and Micro and Nano Robotics (3 papers). Yiyang Wu collaborates with scholars based in United States, China and Mexico. Yiyang Wu's co-authors include Gholson J. Lyon, Jason O'Rawe, Han Fang, Ivan Iossifov, Michael C. Schatz, Giuseppe Narzisi, Kai Wang, Wei Wang, Paul Bodily and Zhi Wei and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Circulation.

In The Last Decade

Yiyang Wu

30 papers receiving 963 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiyang Wu United States 11 549 382 269 188 86 32 978
Chang Li China 16 511 0.9× 273 0.7× 174 0.6× 83 0.4× 24 0.3× 63 942
Shaojin You United States 18 451 0.8× 187 0.5× 142 0.5× 200 1.1× 24 0.3× 28 1.0k
Ilja Küsters Netherlands 12 535 1.0× 221 0.6× 106 0.4× 240 1.3× 45 0.5× 17 922
Bo Curry United States 9 881 1.6× 244 0.6× 382 1.4× 74 0.4× 27 0.3× 10 1.1k
Hailong Wang China 23 1.7k 3.0× 265 0.7× 201 0.7× 493 2.6× 40 0.5× 53 2.0k
Shaobo Wu China 16 482 0.9× 139 0.4× 113 0.4× 67 0.4× 27 0.3× 68 843
Meixin Liu China 14 648 1.2× 99 0.3× 230 0.9× 117 0.6× 40 0.5× 31 1.0k
Yun Yu China 16 560 1.0× 132 0.3× 100 0.4× 69 0.4× 69 0.8× 28 797
Fay J. Dufort United States 13 503 0.9× 163 0.4× 158 0.6× 126 0.7× 50 0.6× 22 1.1k
Wufang Fan China 18 1.1k 2.1× 182 0.5× 312 1.2× 402 2.1× 13 0.2× 28 1.6k

Countries citing papers authored by Yiyang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yiyang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiyang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yiyang Wu. A scholar is included among the top collaborators of Yiyang Wu 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 Yiyang Wu. Yiyang Wu 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.
Wu, Yiyang, et al.. (2025). Programmable rheotaxis of magnetic rollers in time-varying fields. Soft Matter. 21(37). 7344–7353.
2.
Hornung, Simon, Yiyang Wu, Anna Spanopoulou, et al.. (2025). Multi‐Targeting Macrocyclic Peptides as Nanomolar Inhibitors of Self‐ and Cross‐Seeded Amyloid Self‐Assembly of α‐Synuclein. Angewandte Chemie International Edition. 64(14). e202422834–e202422834. 2 indexed citations
3.
Hu, Yuehuai, Cui Liu, Ying Wu, et al.. (2024). Mitochondrial MOF regulates energy metabolism in heart failure via ATP5B hyperacetylation. Cell Reports. 43(10). 114839–114839. 8 indexed citations
4.
Lai, Yu‐Ling, et al.. (2024). MRI-based Machine Learning Radiomics Can Predict CSF1R Expression Level and Prognosis in High-grade Gliomas. Journal of Imaging Informatics in Medicine. 37(1). 209–229. 2 indexed citations
5.
Li, Xiaopeng, et al.. (2023). Role of Reductive Soil Disinfestation and Chemical Soil Fumigation on the Fusarium Wilt of Dioscorea batatas Decne Suppression. Sustainability. 15(15). 11991–11991. 1 indexed citations
6.
Brattico, Elvira, Marcus T. Pearce, Yiyang Wu, et al.. (2023). Worlds apart? Testing the cultural distance hypothesis in music perception of Chinese and Western listeners. Cognition. 235. 105405–105405. 8 indexed citations
7.
Zheng, Wenwen, Yiyang Wu, Hanlu Gao, & Defang Ouyang. (2022). Traditional Chinese medicine injections: where we are after 80-year development. Chinese Medicine. 17(1). 127–127. 9 indexed citations
8.
Iqbal, Jahangir, Meghan T. Walsh, Yimeng Li, et al.. (2022). ATP-binding cassette protein ABCA7 deficiency impairs sphingomyelin synthesis, cognitive discrimination, and synaptic plasticity in the entorhinal cortex. Journal of Biological Chemistry. 298(10). 102411–102411. 11 indexed citations
9.
Wu, Yiyang, et al.. (2022). Observation of the Antimicrobial Activities of Two Actinomycetes in the Harvester Ant Messor orientalis. Insects. 13(8). 691–691. 5 indexed citations
10.
Miller, Joseph, Yiyang Wu, Ashley Scott, et al.. (2021). Derivation and validation of the ED-SAS score for very early prediction of mortality and morbidity with acute pancreatitis: a retrospective observational study. BMC Emergency Medicine. 21(1). 16–16. 10 indexed citations
11.
Zhang, Hua, et al.. (2020). [Value of serum miR-21-3p in predicting acute kidney injury in children with sepsis].. PubMed. 22(3). 269–273. 7 indexed citations
12.
Wu, Yiyang, Youdi Liu, Jingya Yin, Haitao Li, & Jun Huang. (2019). Facile ultrasonic synthesized NH2-carbon quantum dots for ultrasensitive Co2+ ion detection and cell imaging. Talanta. 205. 120121–120121. 88 indexed citations
13.
Wu, Yiyang & Gholson J. Lyon. (2018). NAA10-related syndrome. Experimental & Molecular Medicine. 50(7). 1–10. 36 indexed citations
14.
Fang, Han, Yiyang Wu, Hui Yang, et al.. (2017). Whole genome sequencing of one complex pedigree illustrates challenges with genomic medicine. BMC Medical Genomics. 10(1). 10–10. 13 indexed citations
15.
Fang, Han, Ewa A. Bergmann, Kanika Arora, et al.. (2016). Indel variant analysis of short-read sequencing data with Scalpel. Nature Protocols. 11(12). 2529–2548. 77 indexed citations
16.
Klimas, Aleksandra, Yiyang Wu, Christina M. Ambrosi, et al.. (2016). Disease Modeling in Human Induced Pluripotent Stem Cell Derived Cardiomyocytes Using High-Throughput All-Optical Dynamic Cardiac Electrophysiology. FF3A.3–FF3A.3. 2 indexed citations
17.
O'Rawe, Jason, et al.. (2015). Genome-wide variant analysis of simplex autism families with an integrative clinical-bioinformatics pipeline. Molecular Case Studies. 1(1). a000422–a000422. 6 indexed citations
18.
Narzisi, Giuseppe, Jason O'Rawe, Ivan Iossifov, et al.. (2014). Accurate de novo and transmitted indel detection in exome-capture data using microassembly. Nature Methods. 11(10). 1033–1036. 121 indexed citations
19.
Fang, Han, Yiyang Wu, Giuseppe Narzisi, et al.. (2014). Reducing INDEL calling errors in whole genome and exome sequencing data. Genome Medicine. 6(10). 89–89. 112 indexed citations
20.
O'Rawe, Jason, Tao Jiang, Guangqing Sun, et al.. (2013). Low concordance of multiple variant-calling pipelines: practical implications for exome and genome sequencing. Genome Medicine. 5(3). 28–28. 314 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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