Ting La

1.2k total citations
20 papers, 622 citations indexed

About

Ting La is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ting La has authored 20 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Ting La's work include Cancer-related Molecular Pathways (4 papers), Melanoma and MAPK Pathways (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ting La is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Melanoma and MAPK Pathways (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ting La collaborates with scholars based in China, Australia and United States. Ting La's co-authors include Xu Dong Zhang, Lei Jin, Rick F. Thorne, Xu Guang Yan, Jing Zeng, Wanling Yang, Qiang Guo, Jianyang Ma, Yanfang Wu and Yuanjia Tang and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Ting La

18 papers receiving 618 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 La China 13 370 309 87 86 48 20 622
Jinfu Nie China 14 533 1.4× 165 0.5× 62 0.7× 97 1.1× 59 1.2× 30 861
Christos Filippidis Greece 3 691 1.9× 676 2.2× 78 0.9× 39 0.5× 34 0.7× 6 924
Yufeng Liu China 16 483 1.3× 388 1.3× 54 0.6× 55 0.6× 46 1.0× 37 673
Ulugbek K. Baymuradov United States 3 896 2.4× 216 0.7× 79 0.9× 55 0.6× 26 0.5× 3 1.1k
Keenan Graham United States 2 895 2.4× 216 0.7× 79 0.9× 54 0.6× 26 0.5× 2 1.1k
Sofía T. Menéndez Spain 18 388 1.0× 165 0.5× 42 0.5× 107 1.2× 21 0.4× 34 647
Arvydas Kanopka Lithuania 12 747 2.0× 408 1.3× 55 0.6× 80 0.9× 53 1.1× 20 996
Erikjan Rijkers Netherlands 13 674 1.8× 93 0.3× 70 0.8× 61 0.7× 35 0.7× 17 894
Rainelli Koumangoye United States 16 676 1.8× 297 1.0× 76 0.9× 83 1.0× 19 0.4× 29 842

Countries citing papers authored by Ting La

Since Specialization
Citations

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

Fields of papers citing papers by Ting La

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting La

This figure shows the co-authorship network connecting the top 25 collaborators of Ting La. A scholar is included among the top collaborators of Ting La 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 La. Ting La 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.
Cao, Bo, Chengke Bai, Kunyi Wu, et al.. (2025). Ticks jump in a warmer world: Global distribution shifts of main pathogenic ticks are associated with future climate change. Journal of Environmental Management. 374. 124129–124129. 3 indexed citations
2.
Wu, Kunyi, Chengke Bai, Ting La, et al.. (2025). Current and future distributions of main dermatitis-causing insects and risks of dermatitis across China. Communications Earth & Environment. 6(1).
3.
Liu, Nanbin, Qian Wang, Peng‐Peng Zhu, et al.. (2024). DHX34 as a promising biomarker for prognosis, immunotherapy and chemotherapy in Pan-Cancer: A Comprehensive Analysis and Experimental Validation. Journal of Cancer. 15(20). 6594–6615. 3 indexed citations
4.
La, Ting, Shasha Wang, Yifeng Hu, et al.. (2024). KMT2A and chronic inflammation as potential drivers of sporadic parathyroid adenoma. Clinical and Translational Medicine. 14(6). e1734–e1734.
5.
Zhao, Xiao Hong, Qian Yan, Yi Yue, et al.. (2024). Abstract 7052: p53 underpins a dependence on oxidative phosphorylation in glycolysis-competent colorectal cancer. Cancer Research. 84(6_Supplement). 7052–7052. 1 indexed citations
6.
7.
Li, Dong, Ting La, Jun Xing, et al.. (2022). High nerve density in breast cancer is associated with poor patient outcome. FASEB BioAdvances. 4(6). 391–401. 20 indexed citations
8.
Wang, Yanliang, Yuchen Feng, Teng Liu, et al.. (2022). LncRNA MILIP links YBX1 to translational activation of Snai1 and promotes metastasis in clear cell renal cell carcinoma. Journal of Experimental & Clinical Cancer Research. 41(1). 260–260. 25 indexed citations
9.
Chen, Ke, et al.. (2021). Microstructure investigation of plant architecture with X-ray microscopy. Plant Science. 311. 110986–110986. 14 indexed citations
10.
La, Ting, Song Chen, Tao Guo, et al.. (2021). Visualization of endogenous p27 and Ki67 reveals the importance of a c-Myc-driven metabolic switch in promoting survival of quiescent cancer cells. Theranostics. 11(19). 9605–9622. 26 indexed citations
11.
Feng, Yuchen, Xiao Ying Liu, Teng Liu, et al.. (2020). c-Myc inactivation of p53 through the pan-cancer lncRNA MILIP drives cancer pathogenesis. Nature Communications. 11(1). 4980–4980. 79 indexed citations
12.
La, Ting, Lei Jin, Xiao Ying Liu, et al.. (2020). Cylindromatosis Is Required for Survival of a Subset of Melanoma Cells. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 28(4). 385–398. 4 indexed citations
13.
La, Ting, Guangzhi Liu, Margaret Farrelly, et al.. (2018). A p53-Responsive miRNA Network Promotes Cancer Cell Quiescence. Cancer Research. 78(23). 6666–6679. 28 indexed citations
14.
Liu, Guangzhi, James S. Wilmott, Ting La, et al.. (2017). Skp2-Mediated Stabilization of MTH1 Promotes Survival of Melanoma Cells upon Oxidative Stress. Cancer Research. 77(22). 6226–6239. 41 indexed citations
15.
Jiang, Chen Chen, Xu Guang Yan, Hsin‐Yi Tseng, et al.. (2017). BRAF/MEK inhibitors promote CD47 expression that is reversible by ERK inhibition in melanoma. Oncotarget. 8(41). 69477–69492. 25 indexed citations
16.
Wang, Chunyan, Su Guo, Xu Guang Yan, et al.. (2017). Abstract 3066: Inhibition of hsp90 by auy922 preferentially kills mutant KRAS colon cancer cells by activating Bim through ER stress. Cancer Research. 77(13_Supplement). 3066–3066. 1 indexed citations
17.
Sun, Zhicheng, Bin Guo, Jun Guo, et al.. (2016). Extremely Low Frequency Electromagnetic Fields Facilitate Vesicle Endocytosis by Increasing Presynaptic Calcium Channel Expression at a Central Synapse. Scientific Reports. 6(1). 21774–21774. 54 indexed citations
18.
Jin, Lei, Xu Guang Yan, Margaret Farrelly, et al.. (2016). Reactive Oxygen Species Dictate the Apoptotic Response of Melanoma Cells to TH588. Journal of Investigative Dermatology. 136(11). 2277–2286. 35 indexed citations
19.
Zhang, Feifei, Lingling Wu, Jie Qian, et al.. (2016). Identification of the long noncoding RNA NEAT1 as a novel inflammatory regulator acting through MAPK pathway in human lupus. Journal of Autoimmunity. 75. 96–104. 232 indexed citations
20.
Wang, Chunyan, Su Guo, Xu Guang Yan, et al.. (2016). Reactivation of ERK and Akt confers resistance of mutant BRAF colon cancer cells to the HSP90 inhibitor AUY922. Oncotarget. 7(31). 49597–49610. 14 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jinfu Nie Breakdown of academic impact, for papers by Christos Filippidis Breakdown of academic impact, for papers by Yufeng Liu Breakdown of academic impact, for papers by Ulugbek K. Baymuradov Breakdown of academic impact, for papers by Keenan Graham Breakdown of academic impact, for papers by Sofía T. Menéndez Breakdown of academic impact, for papers by Arvydas Kanopka Breakdown of academic impact, for papers by Erikjan Rijkers Breakdown of academic impact, for papers by Rainelli Koumangoye
Rankless by CCL
2026