Nan Dai

8.1k total citations · 3 hit papers
101 papers, 3.6k citations indexed

About

Nan Dai is a scholar working on Molecular Biology, Ecology and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Nan Dai has authored 101 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 9 papers in Ecology and 8 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Nan Dai's work include RNA modifications and cancer (33 papers), Epigenetics and DNA Methylation (22 papers) and RNA and protein synthesis mechanisms (18 papers). Nan Dai is often cited by papers focused on RNA modifications and cancer (33 papers), Epigenetics and DNA Methylation (22 papers) and RNA and protein synthesis mechanisms (18 papers). Nan Dai collaborates with scholars based in United States, China and United Kingdom. Nan Dai's co-authors include Ivan R. Corrêa, Eric T. Kool, Zhenjun Wang, Jeremy M. Foster, Thomas Lavergne, Tingjian Chen, Denis A. Malyshev, Floyd E. Romesberg, Hai‐Long Jiang and Li Yang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Nan Dai

96 papers receiving 3.6k citations

Hit Papers

A semi-synthetic organism with an expanded genetic alphabet 2014 2026 2018 2022 2014 2021 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Dai United States 33 2.2k 507 258 252 249 101 3.6k
Hua Huang China 28 2.0k 0.9× 770 1.5× 135 0.5× 43 0.2× 68 0.3× 82 3.7k
Zhiping Zhang China 38 2.4k 1.1× 455 0.9× 154 0.6× 24 0.1× 552 2.2× 164 4.7k
Wenxia Yu China 18 1.2k 0.5× 473 0.9× 91 0.4× 74 0.3× 78 0.3× 32 2.9k
Marc‐Antoine Sani Australia 34 2.1k 0.9× 772 1.5× 349 1.4× 115 0.5× 198 0.8× 110 4.0k
Fan Jin China 42 1.8k 0.8× 955 1.9× 317 1.2× 251 1.0× 227 0.9× 157 6.0k
Kun Xu China 34 2.2k 1.0× 664 1.3× 90 0.3× 108 0.4× 105 0.4× 197 3.8k
Judit Tóth Hungary 27 1.4k 0.6× 294 0.6× 251 1.0× 26 0.1× 104 0.4× 110 3.1k
Yue Feng China 28 1.1k 0.5× 325 0.6× 228 0.9× 29 0.1× 172 0.7× 116 2.3k

Countries citing papers authored by Nan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Nan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Dai. A scholar is included among the top collaborators of Nan Dai 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 Nan Dai. Nan Dai 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.
Eeuwen, Trevor van, Hua Jiang, Alison D. O’Brien, et al.. (2025). Rapid DNA cleavage by the LINE-1 endonuclease proximal to DNA ends and at mismatches. Journal of Biological Chemistry. 302(1). 110994–110994. 1 indexed citations
2.
Dai, Nan, Fangzheng Chen, Dan Song, et al.. (2024). Alkali-modified hydrothermal carbon-La@D composite with adjustable surface characteristics for efficient adsorption of Tetracycline. Journal of environmental chemical engineering. 12(6). 114925–114925. 8 indexed citations
3.
Scott, Kristin, Ryan T. Fuchs, Hallie P. Febvre, et al.. (2024). The extensive m5C epitranscriptome of Thermococcus kodakarensis is generated by a suite of RNA methyltransferases that support thermophily. Nature Communications. 15(1). 7272–7272. 6 indexed citations
4.
Dai, Nan, Saif Ullah, Jingwen Zhang, et al.. (2024). The efficacy and safety of snare traction-assisted endoscopic submucosal dissection for circumferential superficial esophageal cancer. Surgical Endoscopy. 38(6). 3329–3336. 1 indexed citations
5.
Scott, Kristin, Nan Dai, Ryan T. Fuchs, et al.. (2024). A novel N 4, N 4-dimethylcytidine in the archaeal ribosome enhances hyperthermophily. Proceedings of the National Academy of Sciences. 121(45). e2405999121–e2405999121. 1 indexed citations
6.
Bromley, Robin E., Tamanash Bhattacharya, Nan Dai, et al.. (2023). Common analysis of direct RNA sequencinG CUrrently leads to misidentification of m5C at GCU motifs. Life Science Alliance. 7(2). e202302201–e202302201.
7.
Zhao, Rui, Dan Zhao, Hua Xue, et al.. (2023). Preparation and Properties of Bio-Based Attapulgite Copolymer (BAC) Sand-Fixing Material. Polymers. 15(2). 265–265. 4 indexed citations
8.
Chen, Qin, Bigang Liu, Yang Zeng, et al.. (2023). GSK-3484862 targets DNMT1 for degradation in cells. NAR Cancer. 5(2). zcad022–zcad022. 27 indexed citations
9.
Zheng, Xuehao, Belay Tafa Oba, Bin Zhang, et al.. (2023). Revealing the potential of organo-mineral complexes in agricultural application using bibliometrics. Journal of Cleaner Production. 401. 136728–136728. 10 indexed citations
10.
Grünberg, Sebastian, Lindsey Doyle, Nan Dai, et al.. (2023). The structural basis of mRNA recognition and binding by yeast pseudouridine synthase PUS1. PLoS ONE. 18(11). e0291267–e0291267. 4 indexed citations
11.
Dai, Nan, Lei Yang, Xinyi Liu, et al.. (2023). Enhanced photo-Fenton-like performance of biotemplated manganese-doped cobalt silicate catalysts. Journal of Colloid and Interface Science. 652(Pt B). 1812–1824. 19 indexed citations
12.
Dai, Nan, Dora Posfai, Keerthana Krishnan, et al.. (2021). Chemical capping improves template switching and enhances sequencing of small RNAs. Nucleic Acids Research. 50(1). e2–e2. 10 indexed citations
14.
Zhang, Cai‐Xia, Jianqiang Lai, Kai‐Yan Liu, et al.. (2021). Optimal gestational weight gain in Chinese pregnant women by Chinese-specific BMI categories: a multicentre prospective cohort study. Public Health Nutrition. 24(11). 3210–3220. 16 indexed citations
15.
Lee, Yan‐Jiun, Nan Dai, Stephanie Müller, et al.. (2021). Pathways of thymidine hypermodification. Nucleic Acids Research. 50(6). 3001–3017. 12 indexed citations
16.
He, Rui, Nan Dai, & Zhenjun Wang. (2020). Thermal and Mechanical Properties of Geopolymers Exposed to High Temperature: A Literature Review. Advances in Civil Engineering. 2020(1). 133 indexed citations
17.
Buswell, J. A., Siu‐Hong Chan, Nan Dai, et al.. (2019). The yeast scavenger decapping enzyme DcpS and its application for in vitro RNA recapping. Scientific Reports. 9(1). 15 indexed citations
18.
Humbert, P., Nan Dai, Yanxia Bei, et al.. (2019). Non-templated addition and template switching by Moloney murine leukemia virus (MMLV)-based reverse transcriptases co-occur and compete with each other. Journal of Biological Chemistry. 294(48). 18220–18231. 61 indexed citations
19.
Dai, Nan & Felicia A. Etzkorn. (2009). Cis−Trans Proline Isomerization Effects on Collagen Triple-Helix Stability Are Limited. Journal of the American Chemical Society. 131(38). 13728–13732. 53 indexed citations
20.
Dai, Nan & Virginie Sottile. (2008). Neural Stem Cell Approaches to CNS Repair. Electronic journal of biology. 4(2). 2 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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