Dan Tan

3.1k total citations · 2 hit papers
31 papers, 2.0k citations indexed

About

Dan Tan is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Dan Tan has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Dan Tan's work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (6 papers) and RNA Research and Splicing (6 papers). Dan Tan is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (6 papers) and RNA Research and Splicing (6 papers). Dan Tan collaborates with scholars based in China, United States and Switzerland. Dan Tan's co-authors include Meng‐Qiu Dong, Alan Saghatelian, Qian Chu, Thomas F. Martínez, Cynthia J. Donaldson, Maxim N. Shokhirev, Wenfeng Zeng, Chao Liu, Wenjing Zhou and Hao Chi and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Dan Tan

28 papers receiving 2.0k citations

Hit Papers

A high-speed search engine pLink 2 with systematic evalua... 2019 2026 2021 2023 2019 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Tan China 18 1.6k 254 140 136 131 31 2.0k
He‐Hsuan Hsiao Germany 24 1.3k 0.8× 80 0.3× 158 1.1× 128 0.9× 214 1.6× 39 1.8k
Zsuzsanna Darula Hungary 27 1.5k 0.9× 595 2.3× 240 1.7× 79 0.6× 356 2.7× 67 2.3k
Kaori Wakamatsu Japan 28 1.4k 0.9× 86 0.3× 126 0.9× 130 1.0× 169 1.3× 85 2.1k
Anders Öhman Sweden 20 980 0.6× 215 0.8× 236 1.7× 98 0.7× 94 0.7× 57 1.8k
Christian Benda Germany 18 1.2k 0.7× 222 0.9× 163 1.2× 99 0.7× 34 0.3× 21 1.6k
Sylwia Kędracka–Krok Poland 24 967 0.6× 88 0.3× 93 0.7× 131 1.0× 74 0.6× 71 1.6k
Peter G. Hains Australia 20 953 0.6× 133 0.5× 119 0.8× 249 1.8× 192 1.5× 58 1.4k
Phil Hieter Canada 11 1.6k 1.0× 234 0.9× 205 1.5× 204 1.5× 142 1.1× 14 2.0k
Dorothea Anrather Austria 21 1.5k 1.0× 482 1.9× 316 2.3× 60 0.4× 126 1.0× 35 2.0k
Zhe Yang United States 26 2.6k 1.6× 170 0.7× 81 0.6× 506 3.7× 86 0.7× 70 3.1k

Countries citing papers authored by Dan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Dan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Tan. A scholar is included among the top collaborators of Dan Tan 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 Tan. Dan Tan 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.
Gao, Yanan, et al.. (2025). Mesoscopic Fracture Mechanism of Sandstone Subject to Microwave Irradiation: Insights from CT Scanning and Electrical Resistivity Testing. Rock Mechanics and Rock Engineering. 58(6). 5981–6006. 1 indexed citations
2.
Wang, Shuai, Kerong Ren, Yang Zhao, et al.. (2025). Effect of electropulsing treatment on the microstructure and properties of SLM-enhanced Ti–6Al–4V alloys. Materials Science and Engineering A. 947. 149222–149222.
3.
Zhou, Yaping, Dan Tan, Guangyao Li, et al.. (2025). Antibody screening for tumor and immune hotspot targets: The frontier of new methods and technologies. Journal of Pharmaceutical Analysis. 16(2). 101417–101417.
4.
Wang, Shizhen, Bingqiang Han, Olena Volkova, et al.. (2025). Preparation of porous anorthite-spinel composite ceramics with spherical pores via direct foaming method: Role of fused magnesia as pore structure stabilizer. Ceramics International. 51(22). 35765–35775.
6.
Tan, Dan, Meiping Lu, Yuqing Cai, et al.. (2023). SUMOylation of Rho-associated protein kinase 2 induces goblet cell metaplasia in allergic airways. Nature Communications. 14(1). 3887–3887. 9 indexed citations
7.
He, Qiangqiang, Dan Tan, Chengyun Xu, et al.. (2023). Smurf1 polyubiquitinates on K285/K282 of the kinases Mst1/2 to attenuate their tumor-suppressor functions. Journal of Biological Chemistry. 299(12). 105395–105395. 4 indexed citations
8.
He, Qiangqiang, Dan Tan, Muhammad Qasim Barkat, et al.. (2023). Multiple post-translational modifications ensure EGFR functionality: Potential therapeutic targets to overcome its drug-resistance mutations. Cytokine & Growth Factor Reviews. 70. 41–53. 22 indexed citations
9.
Patel, Rucha, Anna Santoro, Peter Hofer, et al.. (2022). ATGL is a biosynthetic enzyme for fatty acid esters of hydroxy fatty acids. Nature. 606(7916). 968–975. 88 indexed citations
10.
He, Qiangqiang, Dan Tan, Chengyun Xu, et al.. (2022). Suppression of VEGFD expression by S-nitrosylation promotes the development of lung adenocarcinoma. Journal of Experimental & Clinical Cancer Research. 41(1). 239–239. 12 indexed citations
11.
Zhang, Qin, Qiangqiang He, Wei Shi, et al.. (2020). T851I mutation of human large tumor suppressor 1 disrupts its kinase activity and tumor-suppressor functions. Life Sciences. 264. 118655–118655. 3 indexed citations
12.
Chu, Qian, Thomas F. Martínez, Sammy Weiser Novak, et al.. (2019). Regulation of the ER stress response by a mitochondrial microprotein. Nature Communications. 10(1). 4883–4883. 138 indexed citations
13.
Tan, Dan, Meric Erikci Ertunc, Srihari Konduri, et al.. (2019). Discovery of FAHFA-Containing Triacylglycerols and Their Metabolic Regulation. Journal of the American Chemical Society. 141(22). 8798–8806. 63 indexed citations
14.
Martínez, Thomas F., Qian Chu, Cynthia J. Donaldson, et al.. (2019). Accurate annotation of human protein-coding small open reading frames. Nature Chemical Biology. 16(4). 458–468. 136 indexed citations
15.
Liu, Junjie, N. S. Orlova, Benjamin L. Oakes, et al.. (2019). CasX enzymes comprise a distinct family of RNA-guided genome editors. Nature. 566(7743). 218–223. 316 indexed citations breakdown →
16.
Chu, Qian, Dan Tan, Thomas F. Martínez, et al.. (2018). MIEF1 Microprotein Regulates Mitochondrial Translation. Biochemistry. 57(38). 5564–5575. 67 indexed citations
17.
Zhou, Dejian, Xing Zhu, Sanduo Zheng, et al.. (2018). Cryo-EM structure of an early precursor of large ribosomal subunit reveals a half-assembled intermediate. Protein & Cell. 10(2). 120–130. 61 indexed citations
18.
Ma, Chengying, Kaige Yan, Dan Tan, et al.. (2016). Structural dynamics of the yeast Shwachman-Diamond syndrome protein (Sdo1) on the ribosome and its implication in the 60S subunit maturation. Protein & Cell. 7(3). 187–200. 9 indexed citations
19.
Liu, Junjie, Yao Wu, Dan Tan, et al.. (2016). CryoEM structure of yeast cytoplasmic exosome complex. Cell Research. 26(7). 822–837. 39 indexed citations
20.
Yang, Huirong, Jia Wang, Mengjie Liu, et al.. (2016). 4.4 Å Resolution Cryo-EM structure of human mTOR Complex 1. Protein & Cell. 7(12). 878–887. 69 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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