Dan Su

1.6k total citations
38 papers, 1.3k citations indexed

About

Dan Su is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Dan Su has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Dan Su's work include RNA modifications and cancer (13 papers), RNA and protein synthesis mechanisms (6 papers) and Lung Cancer Treatments and Mutations (6 papers). Dan Su is often cited by papers focused on RNA modifications and cancer (13 papers), RNA and protein synthesis mechanisms (6 papers) and Lung Cancer Treatments and Mutations (6 papers). Dan Su collaborates with scholars based in China, United States and Singapore. Dan Su's co-authors include Peter C. Dedon, Thomas J. Begley, I. Ramesh Babu, Dieter Söll, Clement T. Y. Chan, Michael J. Hohn, Megan E. McBee, Yok Hian Chionh, Chen Gu and Brandon S Russell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and ACS Nano.

In The Last Decade

Dan Su

38 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Su China 19 974 226 224 113 113 38 1.3k
Olivier Reelfs United Kingdom 15 594 0.6× 139 0.6× 373 1.7× 131 1.2× 54 0.5× 20 977
Dragony Fu United States 21 1.9k 2.0× 375 1.7× 313 1.4× 79 0.7× 27 0.2× 42 2.2k
Harufumi Maki Japan 16 1.5k 1.5× 303 1.3× 166 0.7× 68 0.6× 33 0.3× 59 1.8k
Biagio Pucci Italy 19 614 0.6× 189 0.8× 141 0.6× 127 1.1× 28 0.2× 33 918
Ning Lü China 20 898 0.9× 409 1.8× 235 1.0× 94 0.8× 17 0.2× 48 1.3k
Ramesh Balusu United States 27 1.4k 1.4× 219 1.0× 397 1.8× 84 0.7× 28 0.2× 61 1.9k
Ganesh Nagaraju India 22 1.1k 1.1× 206 0.9× 459 2.0× 92 0.8× 13 0.1× 36 1.5k
Yue-Xiang Chen China 18 511 0.5× 266 1.2× 387 1.7× 90 0.8× 11 0.1× 36 1.3k
Yuxiang Chen China 17 536 0.6× 196 0.9× 134 0.6× 34 0.3× 21 0.2× 34 821
Michal Stark Israel 18 627 0.6× 147 0.7× 279 1.2× 84 0.7× 55 0.5× 31 1.1k

Countries citing papers authored by Dan Su

Since Specialization
Citations

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

Fields of papers citing papers by Dan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Su. A scholar is included among the top collaborators of Dan 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 Dan Su. Dan Su 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.
Liu, Xia, Wenjie Lu, Mingchao Xu, et al.. (2025). Oral pH-Sensitive Solid Self-Microemulsion of Norcantharidin Wrapped in Colon-Coated Capsule for Selective Therapy of Colorectal Carcinoma. AAPS PharmSciTech. 26(3). 67–67. 2 indexed citations
2.
Zhao, Fan, Liying Liang, Heng Wang, et al.. (2023). H2S‐Activated Ion‐Interference Therapy: A Novel Tumor Targeted Therapy Based on Copper‐Overload‐Mediated Cuproptosis and Pyroptosis. Advanced Functional Materials. 33(38). 70 indexed citations
3.
Hao, J.Q., Jingying Nong, Dan Su, et al.. (2020). The significance of Siglec-15 expression in resectable non-small cell lung cancer. Neoplasma. 67(6). 1204–1222. 20 indexed citations
4.
Zhou, Hongying, et al.. (2020). PRDX2 Promotes the Proliferation and Metastasis of Non‐Small Cell Lung Cancer In Vitro and In Vivo. BioMed Research International. 2020(1). 8359860–8359860. 21 indexed citations
5.
Blidner, Richard, Brian C. Haynes, Stephen Hyter, et al.. (2018). Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non–Small Cell Lung Cancer. Journal of Molecular Diagnostics. 21(2). 352–365. 10 indexed citations
6.
Qu, Yang, Dan Zhao, Jing Mu, et al.. (2015). Prognostic analysis of primary mucin-producing adenocarcinoma of the lung: a comprehensive retrospective study. Tumor Biology. 37(1). 887–896. 8 indexed citations
7.
Deng, Wenjun, I. Ramesh Babu, Dan Su, et al.. (2015). Trm9-Catalyzed tRNA Modifications Regulate Global Protein Expression by Codon-Biased Translation. PLoS Genetics. 11(12). e1005706–e1005706. 81 indexed citations
8.
Su, Dan, Clement T. Y. Chan, Chen Gu, et al.. (2014). Quantitative analysis of tRNA modifications by HPLC-coupled mass spectrometry. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
9.
Su, Dan, Clement T. Y. Chan, Chen Gu, et al.. (2014). Quantitative analysis of ribonucleoside modifications in tRNA by HPLC-coupled mass spectrometry. Nature Protocols. 9(4). 828–841. 218 indexed citations
10.
Wu, Shafei, Jinghui Wang, Lijuan Zhou, et al.. (2014). Clinicopathological characteristics and outcomes of ROS1‐rearranged patients with lung adenocarcinoma without EGFR, KRAS mutations and ALK rearrangements. Thoracic Cancer. 6(4). 413–420. 23 indexed citations
11.
12.
Chionh, Yok Hian, Chia-Hua Ho, Dumnoensun Pruksakorn, et al.. (2013). A multidimensional platform for the purification of non-coding RNA species. Nucleic Acids Research. 41(17). e168–e168. 37 indexed citations
13.
Wang, Lijie, Li Bai, Dan Su, Ting Zhang, & Zhiyuan Mao. (2013). Proinflammatory conditions promote hepatocellular carcinoma onset and progression via activation of Wnt and EGFR signaling pathways. Molecular and Cellular Biochemistry. 381(1-2). 173–181. 6 indexed citations
14.
Su, Dan, et al.. (2012). Infection and establishment of Ascochyta anemones in leaves of windflower. African Journal of Microbiology Research. 6(23). 4983–4988. 2 indexed citations
15.
Wu, Xiao Yu, Zhengmao Zhu, Weidong Li, et al.. (2012). Chromodomain helicase DNA binding protein 5 plays a tumor suppressor role in human breast cancer. Breast Cancer Research. 14(3). R73–R73. 42 indexed citations
16.
Dong, Xue–Yuan, Xiaoying Fu, Songqing Fan, et al.. (2012). Oestrogen causes ATBF1 protein degradation through the oestrogen-responsive E3 ubiquitin ligase EFP. Biochemical Journal. 444(3). 581–590. 33 indexed citations
17.
Su, Dan, Haiyan Xu, Jianguo Feng, et al.. (2012). PDCD6 is an independent predictor of progression free survival in epithelial ovarian cancer. Journal of Translational Medicine. 10(1). 31–31. 39 indexed citations
18.
Su, Dan, Xiaoying Fu, Songqing Fan, et al.. (2012). Role of ERRF, a Novel ER-Related Nuclear Factor, in the Growth Control of ER-Positive Human Breast Cancer Cells. American Journal Of Pathology. 180(3). 1189–1201. 15 indexed citations
19.
20.
Dong, Xin, Fangfang Liu, Lei Sun, et al.. (2009). Oncogenic function of microtubule end‐binding protein 1 in breast cancer. The Journal of Pathology. 220(3). 361–369. 65 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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