Ting Gui

3.2k total citations
61 papers, 2.5k citations indexed

About

Ting Gui is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ting Gui has authored 61 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 14 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Ting Gui's work include Drug Transport and Resistance Mechanisms (6 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (6 papers). Ting Gui is often cited by papers focused on Drug Transport and Resistance Mechanisms (6 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (6 papers). Ting Gui collaborates with scholars based in China, Switzerland and Japan. Ting Gui's co-authors include Zhibo Gai, Yasuteru Muragaki, Yujing Sun, Aiko Shimokado, Xialu Li, Gerd A. Kullak‐Ublick, Keng Shen, Wenjian Gan, Jie Liu and James L. Manley and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and ACS Nano.

In The Last Decade

Ting Gui

57 papers receiving 2.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ting Gui 1.4k 438 333 284 243 61 2.5k
Yan Xie 1.3k 1.0× 556 1.3× 301 0.9× 167 0.6× 290 1.2× 93 2.5k
Min‐Wei Chen 1.3k 1.0× 411 0.9× 460 1.4× 218 0.8× 233 1.0× 56 2.4k
Qing Xu 1.3k 1.0× 714 1.6× 415 1.2× 207 0.7× 244 1.0× 102 2.7k
Chuan Liu 1.3k 0.9× 603 1.4× 436 1.3× 249 0.9× 254 1.0× 121 2.3k
Cheng-Yang Chou 1.5k 1.1× 458 1.0× 665 2.0× 305 1.1× 207 0.9× 73 2.6k
Shanling Liu 1.2k 0.8× 472 1.1× 298 0.9× 233 0.8× 240 1.0× 150 2.1k
Péter Hamar 1.8k 1.3× 727 1.7× 229 0.7× 173 0.6× 360 1.5× 102 3.2k
Yuko Ito 1.4k 1.0× 756 1.7× 226 0.7× 426 1.5× 281 1.2× 103 2.3k
Mahrukh K. Ganapathi 1.3k 1.0× 320 0.7× 590 1.8× 253 0.9× 374 1.5× 67 2.4k
Meng Xia 1.3k 0.9× 507 1.2× 397 1.2× 309 1.1× 314 1.3× 93 2.3k

Countries citing papers authored by Ting Gui

Since Specialization
Citations

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

Fields of papers citing papers by Ting Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Gui

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Gui. A scholar is included among the top collaborators of Ting Gui 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 Gui. Ting Gui 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.
Chen, Shuqi, et al.. (2024). Association of maternal pyrethroid pesticides exposure during the whole pregnancy with neonate lipid metabolism: A prospective birth cohort, Yunnan, China. Journal of Hazardous Materials. 484. 136603–136603. 1 indexed citations
3.
Qiu, Guangyu, Zhibo Gai, Lanja Saleh, et al.. (2021). Thermoplasmonic-Assisted Cyclic Cleavage Amplification for Self-Validating Plasmonic Detection of SARS-CoV-2. ACS Nano. 15(4). 7536–7546. 58 indexed citations
4.
Zheng, Hui, Jinning Li, Huanhuan Liu, et al.. (2021). Clinical-MRI radiomics enables the prediction of preoperative cerebral spinal fluid dissemination in children with medulloblastoma. World Journal of Surgical Oncology. 19(1). 134–134. 10 indexed citations
5.
Gui, Ting, Zhiyan Chen, & Fei Chen. (2021). Validation of the indication for colposcopy proposed by the 2019 ASCCP risk-based management consensus guidelines: A single-center study in China. PLoS ONE. 16(7). e0253493–e0253493. 1 indexed citations
6.
Gui, Ting, et al.. (2021). Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods. PLoS ONE. 16(6). e0253136–e0253136. 13 indexed citations
7.
Pei, Ke, Ting Gui, Yanqiang Jin, et al.. (2020). An Overview of Lipid Metabolism and Nonalcoholic Fatty Liver Disease. BioMed Research International. 2020(1). 4020249–4020249. 131 indexed citations
8.
Gui, Ting, Lara Console, Mariafrancesca Scalise, et al.. (2020). Cholesterol stimulates the cellular uptake of L-carnitine by the carnitine/organic cation transporter novel 2 (OCTN2). Journal of Biological Chemistry. 296. 100204–100204. 11 indexed citations
9.
Wang, Dongdong, Jiansheng Huang, Ting Gui, et al.. (2020). SR-BI as a target of natural products and its significance in cancer. Seminars in Cancer Biology. 80. 18–38. 23 indexed citations
10.
Fu, Xianjun, Ting Gui, Tianqi Wang, et al.. (2019). Effects of Farnesiferol B on Ischemia-Reperfusion-Induced Renal Damage, Inflammation, and NF-κB Signaling. International Journal of Molecular Sciences. 20(24). 6280–6280. 23 indexed citations
11.
Gui, Ting, Ping Peng, Xinyan Liu, Jin Li, & Weilin Chen. (2017). Clinical and ultrasound parameters in prediction of excessive hemorrhage during management of cesarean scar pregnancy. Therapeutics and Clinical Risk Management. Volume 13. 807–812. 11 indexed citations
12.
13.
Gai, Zhibo, Ting Gui, Christian Hiller, & Gerd A. Kullak‐Ublick. (2015). Farnesoid X Receptor Protects against Kidney Injury in Uninephrectomized Obese Mice. Journal of Biological Chemistry. 291(5). 2397–2411. 74 indexed citations
14.
Gui, Ting & Zhibo Gai. (2015). Genome-wide profiling to analyze the effects of FXR activation on mouse renal proximal tubular cells. Genomics Data. 6. 31–32. 9 indexed citations
15.
Shen, Keng, Ting Gui, Huimin Bai, et al.. (2014). Tumor heterogeneity in the recurrence of epithelial ovarian cancer demonstrated by polycomb group proteins. OncoTargets and Therapy. 7. 1705–1705. 17 indexed citations
16.
Liu, Weidong, Shigang Zhang, Liyong Zhang, et al.. (2014). A prognostic analysis of pediatrics central nervous system small cell tumors: evaluation of EGFR family gene amplification and overexpression. Diagnostic Pathology. 9(1). 132–132. 13 indexed citations
17.
Gui, Ting, Yujing Sun, Zhibo Gai, et al.. (2013). The loss of Trps1 suppresses ureteric bud branching because of the activation of TGF-β signaling. Developmental Biology. 377(2). 415–427. 12 indexed citations
18.
Gui, Ting, Yueming Wang, Lixing Zhang, et al.. (2013). Krüppel-Like Factor 6 Rendered Rat Schwann Cell More Sensitive to Apoptosis via Upregulating FAS Expression. PLoS ONE. 8(12). e82449–e82449. 15 indexed citations
19.
Nishioka, Ryohei, Shunji Itoh, Ting Gui, et al.. (2010). SNAIL induces epithelial-to-mesenchymal transition in a human pancreatic cancer cell line (BxPC3) and promotes distant metastasis and invasiveness in vivo. Experimental and Molecular Pathology. 89(2). 149–157. 51 indexed citations
20.
Gai, Zhibo, Gengyin Zhou, Ting Gui, et al.. (2010). Trps1 Haploinsufficiency Promotes Renal Fibrosis by Increasing Arkadia Expression. Journal of the American Society of Nephrology. 21(9). 1468–1476. 36 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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