Yiyu Dong

2.1k total citations
26 papers, 1.2k citations indexed

About

Yiyu Dong is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yiyu Dong has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yiyu Dong's work include Renal cell carcinoma treatment (4 papers), Epigenetics and DNA Methylation (3 papers) and Ferroptosis and cancer prognosis (3 papers). Yiyu Dong is often cited by papers focused on Renal cell carcinoma treatment (4 papers), Epigenetics and DNA Methylation (3 papers) and Ferroptosis and cancer prognosis (3 papers). Yiyu Dong collaborates with scholars based in United States, China and Japan. Yiyu Dong's co-authors include James J. Hsieh, Emily H. Cheng, Loren S. Michel, Jianbo Wang, Savithramma P. Dinesh‐Kumar, Tessa M. Burch‐Smith, Padmavathi Mamillapalli, Yule Liu, Ryan B. Day and Yogesh Tengarai Ganesan and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Biomaterials.

In The Last Decade

Yiyu Dong

24 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiyu Dong United States 16 731 328 220 203 181 26 1.2k
Morten Grauslund Denmark 21 848 1.2× 464 1.4× 333 1.5× 203 1.0× 74 0.4× 44 1.4k
Wen‐Ming Cao China 18 522 0.7× 235 0.7× 126 0.6× 263 1.3× 97 0.5× 75 1.0k
Xiaodong Lü China 19 1.0k 1.4× 238 0.7× 324 1.5× 361 1.8× 69 0.4× 71 1.5k
Andrea Kinner Germany 5 887 1.2× 257 0.8× 116 0.5× 227 1.1× 68 0.4× 7 1.1k
Alihossein Saberi Iran 13 1.1k 1.5× 464 1.4× 91 0.4× 291 1.4× 133 0.7× 62 1.5k
Bustanur Rosidi Germany 9 1.3k 1.8× 626 1.9× 101 0.5× 288 1.4× 189 1.0× 22 1.5k
Daniel Maslyar United States 18 864 1.2× 616 1.9× 381 1.7× 173 0.9× 222 1.2× 44 1.6k
Emanuela Guerra Italy 18 697 1.0× 652 2.0× 252 1.1× 271 1.3× 43 0.2× 48 1.4k
Meilan Liu United States 18 995 1.4× 575 1.8× 292 1.3× 427 2.1× 71 0.4× 46 1.6k

Countries citing papers authored by Yiyu Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yiyu Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiyu Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yiyu Dong. A scholar is included among the top collaborators of Yiyu Dong 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 Yiyu Dong. Yiyu Dong 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.
2.
Ganly, Ian, Fengshen Kuo, Vladimir Makarov, et al.. (2023). Characterizing the Immune Microenvironment and Neoantigen Landscape of Hürthle Cell Carcinoma to Identify Potential Immunologic Vulnerabilities. Cancer Research Communications. 3(7). 1409–1422. 1 indexed citations
3.
Xie, Yuchen, Merve Şahin, S. K. Sinha, et al.. (2022). SETD2 loss perturbs the kidney cancer epigenetic landscape to promote metastasis and engenders actionable dependencies on histone chaperone complexes. Nature Cancer. 3(2). 188–202. 42 indexed citations
4.
Dong, Yiyu, Yongxing Gong, Fengshen Kuo, et al.. (2021). Targeting the mTOR Pathway in Hurthle Cell Carcinoma Results in Potent Antitumor Activity. Molecular Cancer Therapeutics. 21(2). 382–394. 4 indexed citations
5.
Chen, Dong, Xingliang Li, Wu B, et al.. (2020). A Novel Oncogenic Driver in a Lung Adenocarcinoma Patient Harboring an EGFR-KDD and Response to Afatinib. Frontiers in Oncology. 10. 867–867. 10 indexed citations
6.
Dong, Yiyu, Roozbeh Eskandari, Kristin L. Granlund, et al.. (2018). Hyperpolarized MRI Visualizes Warburg Effects and Predicts Treatment Response to mTOR Inhibitors in Patient-Derived ccRCC Xenograft Models. Cancer Research. 79(1). 242–250. 28 indexed citations
7.
Wang, Gary X., Ho-Chou Tu, Yiyu Dong, et al.. (2017). ΔNp63 Inhibits Oxidative Stress-Induced Cell Death, Including Ferroptosis, and Cooperates with the BCL-2 Family to Promote Clonogenic Survival. Cell Reports. 21(10). 2926–2939. 61 indexed citations
8.
Sinha, Rileen, Andrew Winer, Michael Chevinsky, et al.. (2017). Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection. Nature Communications. 8(1). 15165–15165. 59 indexed citations
9.
Inoue‐Yamauchi, Akane, Kwanghee Kim, Hui‐Chen Chen, et al.. (2017). Targeting the differential addiction to anti-apoptotic BCL-2 family for cancer therapy. Nature Communications. 8(1). 16078–16078. 144 indexed citations
10.
Xu, Jianing, Can G. Pham, Steven K. Albanese, et al.. (2016). Mechanistically distinct cancer-associated mTOR activation clusters predict sensitivity to rapamycin. Journal of Clinical Investigation. 126(9). 3526–3540. 77 indexed citations
11.
12.
Dong, Yiyu, et al.. (2015). Modeling Tumor Growth for Kidney Cancer Based on Nuclei Clusters of Pathology Slides. International Journal of Engineering and Technology. 8(5). 375–379. 2 indexed citations
13.
Dong, Yiyu, et al.. (2014). Taspase1 cleaves MLL1 to activate cyclin E for HER2/neu breast tumorigenesis. Cell Research. 24(11). 1354–1366. 25 indexed citations
14.
Bean, Gregory R., Yogesh Tengarai Ganesan, Yiyu Dong, et al.. (2013). PUMA and BIM Are Required for Oncogene Inactivation–Induced Apoptosis. Science Signaling. 6(268). ra20–ra20. 97 indexed citations
15.
Takeda, Shugaku, Han Liu, Satoru Sasagawa, et al.. (2013). HGF-MET signals via the MLL-ETS2 complex in hepatocellular carcinoma. Journal of Clinical Investigation. 123(7). 3154–3165. 51 indexed citations
16.
Chen, David Y., Brian A. Van Tine, Adam C. Searleman, et al.. (2011). A Pharmacologic Inhibitor of the Protease Taspase1 Effectively Inhibits Breast and Brain Tumor Growth. Cancer Research. 72(3). 736–746. 35 indexed citations
17.
Wang, Jianbo, Kaihua Zhang, Dorota Grabowska, et al.. (2011). Loss of Trop2 Promotes Carcinogenesis and Features of Epithelial to Mesenchymal Transition in Squamous Cell Carcinoma. Molecular Cancer Research. 9(12). 1686–1695. 52 indexed citations
18.
Dong, Yiyu, Aimin Li, Jianbo Wang, Jason D. Weber, & Loren S. Michel. (2010). Synthetic Lethality through Combined Notch–Epidermal Growth Factor Receptor Pathway Inhibition in Basal-Like Breast Cancer. Cancer Research. 70(13). 5465–5474. 59 indexed citations
19.
Wang, Jianbo, Ryan B. Day, Yiyu Dong, Steven J. Weintraub, & Loren S. Michel. (2008). Identification of Trop-2 as an oncogene and an attractive therapeutic target in colon cancers. Molecular Cancer Therapeutics. 7(2). 280–285. 124 indexed citations
20.
Qin, Genji, Dingming Kang, Yiyu Dong, et al.. (2003). Obtaining and analysis of flanking sequences from T-DNA transformants of Arabidopsis. Plant Science. 165(5). 941–949. 56 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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