Ting Yan

1.1k total citations
44 papers, 817 citations indexed

About

Ting Yan is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Ting Yan has authored 44 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Plant Science and 8 papers in Genetics. Recurrent topics in Ting Yan's work include MicroRNA in disease regulation (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and RNA Research and Splicing (5 papers). Ting Yan is often cited by papers focused on MicroRNA in disease regulation (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and RNA Research and Splicing (5 papers). Ting Yan collaborates with scholars based in China, United States and Hong Kong. Ting Yan's co-authors include Yichao Zhu, Xiao‐Dong Gao, Huijie Zhang, Shini Feng, Chunyi Zhi, Yongwei Sun, Xiudao Yu, Lanqin Xia, Hada Wuriyanghan and Hongmei Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Ting Yan

42 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Yan China 19 447 175 143 87 86 44 817
Ya Chen China 17 629 1.4× 398 2.3× 60 0.4× 70 0.8× 97 1.1× 57 1.1k
Seung Koo Lee South Korea 21 563 1.3× 269 1.5× 121 0.8× 80 0.9× 91 1.1× 47 1.2k
Xiangxiang Zhang China 17 511 1.1× 389 2.2× 171 1.2× 36 0.4× 103 1.2× 56 1.0k
H.M. Pereira Brazil 21 948 2.1× 129 0.7× 219 1.5× 120 1.4× 49 0.6× 81 1.3k
Julia Scheel Germany 19 195 0.4× 158 0.9× 124 0.9× 61 0.7× 143 1.7× 39 816
Yang Xiao-hong China 14 414 0.9× 154 0.9× 76 0.5× 23 0.3× 32 0.4× 72 743
Pei Zhu China 20 594 1.3× 162 0.9× 133 0.9× 33 0.4× 158 1.8× 39 986
Guoyun Zhang China 18 538 1.2× 270 1.5× 115 0.8× 18 0.2× 55 0.6× 52 1.2k

Countries citing papers authored by Ting Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ting Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Yan. A scholar is included among the top collaborators of Ting Yan 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 Yan. Ting Yan 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.
Zhang, Boming, Ting Yan, & Weiguo Pan. (2025). Durability of ammonia-fueled SOFCs: A review on degradation mechanisms and mitigation strategies. Chemical Engineering Journal. 526. 171422–171422.
2.
Kuang, Youyi, Xianhu Zheng, Dingchen Cao, et al.. (2023). Generate a new crucian carp (Carassius auratus) strain without intermuscular bones by knocking out bmp6. Aquaculture. 569. 739407–739407. 20 indexed citations
3.
Wang, Tingting, et al.. (2023). The stability of cell structure and antioxidant enzymes are essential for fresh-cut potato browning. Food Research International. 164. 112449–112449. 36 indexed citations
4.
Liu, Jiaqi, et al.. (2022). lncRNA LINC000466 Predicts the Prognosis and Promotes the Progression of Triple‐negative Breast Cancer via Modulating miR‐539‐5p. Clinical Breast Cancer. 22(4). 374–380. 4 indexed citations
5.
Xu, Huan, Ting Yan, Zhipeng Sun, et al.. (2022). Transcriptomic Analysis Provides Insights to Reveal the bmp6 Function Related to the Development of Intermuscular Bones in Zebrafish. Frontiers in Cell and Developmental Biology. 10. 821471–821471. 24 indexed citations
6.
Zhang, Meiyu, Yuchen Han, Qiang Han, et al.. (2020). Lamin B2 promotes the malignant phenotype of non-small cell lung cancer cells by upregulating dimethylation of histone 3 lysine 9. Experimental Cell Research. 393(2). 112090–112090. 17 indexed citations
7.
Mei, Jie, Ting Yan, Yi‐Fu Huang, et al.. (2019). A DAAM1 3′-UTR SNP mutation regulates breast cancer metastasis through affecting miR-208a-5p-DAAM1-RhoA axis. Cancer Cell International. 19(1). 55–55. 29 indexed citations
8.
Mei, Jie, Yi‐Fu Huang, Yan Liu, et al.. (2019). DAAM1-mediated migration and invasion of ovarian cancer cells are suppressed by miR-208a-5p. Pathology - Research and Practice. 215(7). 152452–152452. 26 indexed citations
9.
Wu, Xuping, et al.. (2019). <p>Wnt5a induces ROR1 and ROR2 to activate RhoA in esophageal squamous cell carcinoma cells</p>. Cancer Management and Research. Volume 11. 2803–2815. 20 indexed citations
10.
Xiong, Huaping, Ting Yan, Weijie Zhang, et al.. (2018). miR-613 inhibits cell migration and invasion by downregulating Daam1 in triple-negative breast cancer. Cellular Signalling. 44. 33–42. 68 indexed citations
11.
Guo, Jiajia, Hongwei Du, Jianyue Zhu, Ting Yan, & Bensheng Qiu. (2018). Relative location prediction in CT scan images using convolutional neural networks. Computer Methods and Programs in Biomedicine. 160. 43–49. 6 indexed citations
12.
Liu, Xiaolong, Xia Li, Chuan‐Chao Dai, et al.. (2017). Improved short-term drought response of transgenic rice over-expressing maize C4 phosphoenolpyruvate carboxylase via calcium signal cascade. Journal of Plant Physiology. 218. 206–221. 13 indexed citations
13.
Yan, Ting, et al.. (2017). ROR2 receptor promotes the migration of osteosarcoma cells in response to Wnt5a. Cancer Cell International. 17(1). 112–112. 18 indexed citations
14.
Lu, Mingjie, Tongshan Wang, Mingfeng He, et al.. (2017). Tumor suppressor role of miR-3622b-5p in ERBB2-positive cancer. Oncotarget. 8(14). 23008–23019. 15 indexed citations
15.
Rui, Huan, Ting Yan, Zhiyong Hu, Ruiping Liu, & Liqun Wang. (2017). The association between caspase-5 gene polymorphisms and rheumatoid arthritis in a Chinese population. Gene. 642. 307–312. 4 indexed citations
16.
Wu, Zhiming, Gang Wang, Xiaojuan Zhu, et al.. (2016). Multiple-Insecticide Resistance and Classic Gene Mutations to Japanese Encephalitis VectorCulex tritaeniorhynchusfrom China. Journal of the American Mosquito Control Association. 32(2). 144–151. 7 indexed citations
17.
Zhang, Huijie, Shini Feng, Ting Yan, et al.. (2016). Folate-conjugated boron nitride nanospheres for targeted delivery of anticancer drug. International Journal of Nanomedicine. Volume 11. 4573–4582. 54 indexed citations
18.
Ma, Bo, Yili Zhang, Min Chen, et al.. (2015). Characteristics and viral propagation properties of a new human diploid cell line, walvax-2, and its suitability as a candidate cell substrate for vaccine production. Human Vaccines & Immunotherapeutics. 11(4). 998–1009. 12 indexed citations
19.
20.
Hao, Fei, et al.. (2012). Allelopathic Effects of Juglone on the Growth of Wheat Seedlings and Seed Germination. Xibei zhiwu xuebao. 32(3). 518–524. 6 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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