Ting Zhu

4.8k total citations · 4 hit papers
66 papers, 3.6k citations indexed

About

Ting Zhu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Astronomy and Astrophysics. According to data from OpenAlex, Ting Zhu has authored 66 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Astronomy and Astrophysics. Recurrent topics in Ting Zhu's work include RNA and protein synthesis mechanisms (13 papers), Photoreceptor and optogenetics research (8 papers) and Chemical Synthesis and Analysis (7 papers). Ting Zhu is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), Photoreceptor and optogenetics research (8 papers) and Chemical Synthesis and Analysis (7 papers). Ting Zhu collaborates with scholars based in China, United States and Sweden. Ting Zhu's co-authors include Jack W. Szostak, Wenjun Jiang, Wei Yang, Jianhuo Fang, Jidong Lang, Jingkun Jiang, Geng Tian, Buying Wang, Chen Cao and W. Yang and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ting Zhu

64 papers receiving 3.5k citations

Hit Papers

Inhalable Microorganisms in Beijing’s PM2.5 and PM10 Poll... 2009 2026 2014 2020 2014 2009 2024 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Zhu China 31 1.5k 611 468 366 355 66 3.6k
Fei Li China 40 1.1k 0.7× 1.5k 2.4× 31 0.1× 369 1.0× 97 0.3× 226 5.5k
Bruce R. Locke United States 47 412 0.3× 441 0.7× 24 0.1× 1.1k 3.1× 178 0.5× 166 8.2k
Max Diem United States 52 2.7k 1.7× 75 0.1× 25 0.1× 878 2.4× 376 1.1× 159 7.8k
Yasushi Takeda Japan 29 765 0.5× 101 0.2× 40 0.1× 879 2.4× 739 2.1× 201 3.3k
Qibin Li China 46 724 0.5× 185 0.3× 21 0.0× 1.3k 3.5× 699 2.0× 219 6.2k
Yoshio Satō Japan 29 616 0.4× 59 0.1× 71 0.2× 293 0.8× 128 0.4× 212 3.5k
Paul Todd United States 34 1.1k 0.7× 82 0.1× 315 0.7× 790 2.2× 23 0.1× 221 3.9k
Xilin Wang China 31 661 0.4× 99 0.2× 21 0.0× 249 0.7× 157 0.4× 125 2.9k
Hui Li China 37 525 0.3× 110 0.2× 26 0.1× 621 1.7× 379 1.1× 331 5.5k
Hiroaki Ozaki Japan 39 2.9k 1.9× 308 0.5× 17 0.0× 728 2.0× 25 0.1× 254 6.4k

Countries citing papers authored by Ting Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Ting Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Zhu. A scholar is included among the top collaborators of Ting Zhu 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 Ting Zhu. Ting Zhu 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.
Lian, Junbo Jacob, Guohua Hui, Ting Zhu, et al.. (2024). Parrot optimizer: Algorithm and applications to medical problems. Computers in Biology and Medicine. 172. 108064–108064. 225 indexed citations breakdown →
2.
Xu, Yuan & Ting Zhu. (2022). Mirror-image T7 transcription of chirally inverted ribosomal and functional RNAs. Science. 378(6618). 405–412. 48 indexed citations
3.
Ji, Chen, Mengyin Chen, & Ting Zhu. (2022). Directed evolution and selection of biostable l-DNA aptamers with a mirror-image DNA polymerase. Nature Biotechnology. 40(11). 1601–1609. 43 indexed citations
4.
Wu, Chengjuan, Xinyu Li, Ting Zhu, et al.. (2022). Exploiting the Twisted Intramolecular Charge Transfer Effect to Construct a Wash-Free Solvatochromic Fluorescent Lipid Droplet Probe for Fatty Liver Disease Diagnosis. Analytical Chemistry. 94(9). 3881–3887. 91 indexed citations
5.
Zhu, Ting, et al.. (2022). Contributions of species shade tolerance and individual light environment to photosynthetic induction in tropical tree seedlings. Tree Physiology. 42(10). 1975–1987. 7 indexed citations
6.
Kang, Di, et al.. (2022). Impact of the COVID-19 pandemic on air pollution from jet engines at airports in central eastern China. Air Quality Atmosphere & Health. 16(3). 641–659. 4 indexed citations
7.
Zhu, Ting, Yan Zhang, Wenjuan Sun, et al.. (2021). Elevated CO2 Enhances Dynamic Photosynthesis in Rice and Wheat. Frontiers in Plant Science. 12. 21 indexed citations
8.
Zhang, Ziqian, et al.. (2021). Spatial-Temporal Patterns of Air Pollutant Emissions From Landing and Take-Off Cycles in the Yangtze River Delta of China During the COVID-19 Outbreak. Frontiers in Public Health. 9. 673666–673666. 2 indexed citations
9.
Wang, Min, Wenjun Jiang, Xianyu Liu, et al.. (2019). Mirror-Image Gene Transcription and Reverse Transcription. Chem. 5(4). 848–857. 31 indexed citations
10.
Zhang, Baochang, Qiang Deng, Chong Zuo, et al.. (2019). Ligation of Soluble but Unreactive Peptide Segments in the Chemical Synthesis of Haemophilus Influenzae DNA Ligase. Angewandte Chemie International Edition. 58(35). 12231–12237. 39 indexed citations
11.
Liu, Xianyu & Ting Zhu. (2018). Sequencing Mirror-Image DNA Chemically. Cell chemical biology. 25(9). 1151–1156.e3. 8 indexed citations
12.
Lang, Jidong, Lína Zhang, Jianhuo Fang, et al.. (2015). [Characterizing Beijing's Airborne Bacterial Communities in PM2.5 and PM1 Samples During Haze Pollution Episodes Using 16S rRNA Gene Analysis Method].. PubMed. 36(8). 2727–34. 7 indexed citations
13.
Jiang, Wenjun, Peng Liang, Buying Wang, et al.. (2015). Optimized DNA extraction and metagenomic sequencing of airborne microbial communities. Nature Protocols. 10(5). 768–779. 114 indexed citations
14.
Zhu, Ting, Itay Budin, & Jack W. Szostak. (2013). Vesicle Extrusion Through Polycarbonate Track-etched Membranes using a Hand-held Mini-extruder. Methods in enzymology on CD-ROM/Methods in enzymology. 533. 275–282. 15 indexed citations
15.
Karimi, Reza, Ting Zhu, Brett E. Bouma, & Mohammad R. K. Mofrad. (2008). Estimation of Nonlinear Mechanical Properties of Vascular Tissues via Elastography. PubMed. 8(4). 191–202. 37 indexed citations
16.
Du, Jie, et al.. (2008). ING1a and ING1b different expressed in sporadic hepatocellular carcinoma. Pathologie Biologie. 57(3). e17–e21. 2 indexed citations
17.
Zhu, Ting, et al.. (2003). Effect of simulated microgravity on aged pea seed vigour and related physiological properties. Colloids and Surfaces B Biointerfaces. 27(4). 311–314. 6 indexed citations
18.
Zhou, Xiaodong, et al.. (2002). [Comparison study on uterine and umbilical artery blood flow during pregnancy at high altitude and at low altitude].. PubMed. 37(2). 69–71. 19 indexed citations
19.
Tian, Hezhong, Jiming Hao, Yongqi Lu, & Ting Zhu. (2001). Inventories and distribution characteristics of NOx emissions in China. China Environmental Science. 21(6). 493–497. 48 indexed citations
20.
Cao, Zhu, et al.. (2000). Secretion in long-chain dicarboxylic acid fermentation. Bioprocess and Biosystems Engineering. 22(5). 391–396. 9 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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