Rong Tao

3.6k total citations · 1 hit paper
32 papers, 1.7k citations indexed

About

Rong Tao is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Rong Tao has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Oncology. Recurrent topics in Rong Tao's work include Plant Gene Expression Analysis (4 papers), Pain Mechanisms and Treatments (4 papers) and Natural product bioactivities and synthesis (3 papers). Rong Tao is often cited by papers focused on Plant Gene Expression Analysis (4 papers), Pain Mechanisms and Treatments (4 papers) and Natural product bioactivities and synthesis (3 papers). Rong Tao collaborates with scholars based in China, United States and France. Rong Tao's co-authors include Norbert Perrimon, Zhijun Luo, Lizabeth A. Perkins, Donghui Yang‐Zhou, Gregory J. Hannon, B. Czech, Dominik Handler, Rui Zhou, Phillip Karpowicz and Jian-Quan Ni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLANT PHYSIOLOGY.

In The Last Decade

Rong Tao

30 papers receiving 1.7k citations

Hit Papers

A genome-scale shRNA resource for transgenic RNAi in Dros... 2011 2026 2016 2021 2011 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A genome-scale shRNA resource for transgenic RNAi in Drosophila
    2011 605 citations Jian-Quan Ni, Rui Zhou et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rong Tao China 18 1.1k 326 236 206 182 32 1.7k
Ge Bai China 28 1.5k 1.3× 350 1.1× 478 2.0× 134 0.7× 105 0.6× 82 2.5k
Sandra Pierre Germany 25 951 0.8× 176 0.5× 273 1.2× 399 1.9× 137 0.8× 55 1.8k
Denghong Zhang China 13 693 0.6× 187 0.6× 110 0.5× 424 2.1× 123 0.7× 25 1.5k
Nan Liu China 22 2.1k 1.9× 204 0.6× 156 0.7× 149 0.7× 211 1.2× 46 2.6k
Jeane Silva United States 18 908 0.8× 215 0.7× 100 0.4× 172 0.8× 126 0.7× 35 1.5k
Jeong Su Oh South Korea 25 1.3k 1.1× 115 0.4× 141 0.6× 123 0.6× 206 1.1× 68 2.2k
Jinkyu Lim South Korea 26 1.1k 1.0× 542 1.7× 339 1.4× 123 0.6× 265 1.5× 76 2.2k
Lin Bai China 21 719 0.6× 164 0.5× 99 0.4× 173 0.8× 85 0.5× 68 1.4k
Joung‐Woo Hong South Korea 18 1.7k 1.5× 305 0.9× 116 0.5× 124 0.6× 217 1.2× 45 2.4k

Countries citing papers authored by Rong Tao

Since Specialization
Citations

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

Fields of papers citing papers by Rong Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Rong Tao. A scholar is included among the top collaborators of Rong Tao 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 Rong Tao. Rong Tao 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.
Wang, Jing, Weicheng Lu, Yong Cheng, et al.. (2023). POU2F1/DNMT3a Pathway Participates in Neuropathic Pain by Hypermethylation-Mediated LRFN4 Downregulation Following Oxaliplatin Treatment. Neurochemical Research. 48(12). 3652–3664. 2 indexed citations
3.
Tao, Rong, Tingting Li, Yalin Wang, et al.. (2023). The facial microbiome and metabolome across different geographic regions. Microbiology Spectrum. 12(1). e0324823–e0324823. 1 indexed citations
4.
Kozik, Alexander, et al.. (2021). Isolating an active and inactive CACTA transposon from lettuce color mutants and characterizing their family. PLANT PHYSIOLOGY. 186(2). 929–944. 7 indexed citations
5.
Li, Yongyi, Yongyi Li, Zhirong Cui, et al.. (2021). Integrated molecular networking strategy enhance the accuracy and visualization of components identification: A case study of Ginkgo biloba leaf extract. Journal of Pharmaceutical and Biomedical Analysis. 209. 114523–114523. 18 indexed citations
6.
Fang, Douglas D., Qiuqiong Tang, Rong Tao, et al.. (2021). MDM2 inhibitor APG-115 exerts potent antitumor activity and synergizes with standard-of-care agents in preclinical acute myeloid leukemia models. Cell Death Discovery. 7(1). 90–90. 39 indexed citations
7.
Kuang, Hanhui, Changchun Yu, Guanghui An, et al.. (2021). Non-vernalization requirement in Chinese kale caused by loss of BoFLC and low expressions of its paralogs. Theoretical and Applied Genetics. 135(2). 473–483. 6 indexed citations
8.
Tao, Rong, et al.. (2021). Stigmastane-type steroid saponins from the leaves of Vernonia amygdalina Del. Fitoterapia. 150. 104838–104838. 11 indexed citations
9.
Mohr, Stephanie E., Yanhui Hu, Wei Song, et al.. (2017). Zinc Detoxification: A Functional Genomics and Transcriptomics Analysis in Drosophila melanogaster Cultured Cells. G3 Genes Genomes Genetics. 8(2). 631–641. 14 indexed citations
10.
Zhang, Lei, Wenqing Su, Rong Tao, et al.. (2017). RNA sequencing provides insights into the evolution of lettuce and the regulation of flavonoid biosynthesis. Nature Communications. 8(1). 2264–2264. 140 indexed citations
11.
12.
Tao, Rong, et al.. (2017). Identification of temporal genes involved in the mechanisms of spinal cord injury. Spinal Cord. 55(4). 355–361. 6 indexed citations
13.
Ewen‐Campen, Ben, Donghui Yang‐Zhou, Luping Liu, et al.. (2017). Optimized strategy for in vivo Cas9-activation in Drosophila. Proceedings of the National Academy of Sciences. 114(35). 9409–9414. 56 indexed citations
14.
Zirin, Jonathan, Joppe Nieuwenhuis, Anastasia Samsonova, Rong Tao, & Norbert Perrimon. (2015). Regulators of Autophagosome Formation in Drosophila Muscles. PLoS Genetics. 11(2). e1005006–e1005006. 22 indexed citations
15.
Luo, Lingyu, et al.. (2012). ATM and LKB1 dependent activation of AMPK sensitizes cancer cells to etoposide-induced apoptosis. Cancer Letters. 328(1). 114–119. 41 indexed citations
16.
17.
Ni, Jian-Quan, Rui Zhou, B. Czech, et al.. (2011). A genome-scale shRNA resource for transgenic RNAi in Drosophila. Nature Methods. 8(5). 405–407. 605 indexed citations breakdown →
18.
Chakrabarti, Partha, Shakun Karki, Li Qiang, et al.. (2011). SIRT1 controls lipolysis in adipocytes via FOXO1-mediated expression of ATGL. Journal of Lipid Research. 52(9). 1693–1701. 152 indexed citations
19.
Tao, Rong, Jun Gong, Mengwei Zang, et al.. (2010). AMPK exerts dual regulatory effects on the PI3K pathway. PubMed. 5(1). 1–1. 118 indexed citations
20.
Zhou, Jing, Wei Huang, Rong Tao, et al.. (2009). Inactivation of AMPK alters gene expression and promotes growth of prostate cancer cells. Oncogene. 28(18). 1993–2002. 96 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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