Zhu‐Ting Tong

538 total citations
10 papers, 443 citations indexed

About

Zhu‐Ting Tong is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Zhu‐Ting Tong has authored 10 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Cell Biology. Recurrent topics in Zhu‐Ting Tong's work include Mycotoxins in Agriculture and Food (2 papers), Genomics and Chromatin Dynamics (1 paper) and Autophagy in Disease and Therapy (1 paper). Zhu‐Ting Tong is often cited by papers focused on Mycotoxins in Agriculture and Food (2 papers), Genomics and Chromatin Dynamics (1 paper) and Autophagy in Disease and Therapy (1 paper). Zhu‐Ting Tong collaborates with scholars based in China, Hong Kong and United States. Zhu‐Ting Tong's co-authors include Yi-Xin Zeng, Dan Xie, Shi-Juan Mai, Jiaxing Zhang, Yiji Liao, Xin‐Yuan Guan, Xiu‐Wu Bian, Mu-Yan Cai, Wei Zhu and Hsiang‐Fu Kung and has published in prestigious journals such as PLoS ONE, Gut and International Journal of Cancer.

In The Last Decade

Zhu‐Ting Tong

10 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhu‐Ting Tong China	9	299	148	96	46	45	10	443
Yelena Chernyavskaya United States	9	403 1.3×	119 0.8×	42 0.4×	38 0.8×	33 0.7×	12	510
Meng Lou China	13	328 1.1×	93 0.6×	99 1.0×	26 0.6×	31 0.7×	21	457
Nima Niknejad Canada	14	273 0.9×	115 0.8×	90 0.9×	37 0.8×	58 1.3×	18	431
Irene Kamileri Greece	8	528 1.8×	82 0.6×	145 1.5×	30 0.7×	20 0.4×	8	665
De-Chang Wu China	9	455 1.5×	103 0.7×	170 1.8×	21 0.5×	28 0.6×	21	568
Neelam V. Desai United States	12	318 1.1×	71 0.5×	182 1.9×	110 2.4×	49 1.1×	29	538
Honghong Zhou China	16	573 1.9×	181 1.2×	158 1.6×	41 0.9×	66 1.5×	27	715
Chandra Sekhar Reddy Chilamakuri United Kingdom	10	327 1.1×	120 0.8×	95 1.0×	15 0.3×	44 1.0×	12	478
Shilei Liu China	15	305 1.0×	134 0.9×	118 1.2×	23 0.5×	84 1.9×	39	498

Countries citing papers authored by Zhu‐Ting Tong

Since Specialization

Citations

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

Fields of papers citing papers by Zhu‐Ting Tong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhu‐Ting Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Zhu‐Ting Tong. A scholar is included among the top collaborators of Zhu‐Ting Tong 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 Zhu‐Ting Tong. Zhu‐Ting Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Miao, Yun, Jian Rong, Hui-Wen Weng, et al.. (2015). ULK1: A Promising Biomarker in Predicting Poor Prognosis and Therapeutic Response in Human Nasopharygeal Carcinoma. PLoS ONE. 10(2). e0117375–e0117375. 35 indexed citations

Zhang, Jiaxing, Zhu‐Ting Tong, Lin Yang, et al.. (2012). PITX2: A promising predictive biomarker of patients' prognosis and chemoradioresistance in esophageal squamous cell carcinoma. International Journal of Cancer. 132(11). 2567–2577. 43 indexed citations

Zhang, Jiaxing, Zhu‐Ting Tong, Jie-Wei Chen, et al.. (2012). Overexpression of the secretory small GTPase Rab27B in human breast cancer correlates closely with lymph node metastasis and predicts poor prognosis. Journal of Translational Medicine. 10(1). 242–242. 41 indexed citations

Zhang, Jiaxing, Qiong Shao, Zhu‐Ting Tong, et al.. (2012). Elevated DLL4 expression is correlated with VEGF and predicts poor prognosis of nasopharyngeal carcinoma. Medical Oncology. 30(1). 390–390. 38 indexed citations

Lü, Jian, Junhang Luo, Jian Pang, et al.. (2012). Lentivirus-mediated RNA interference of clusterin enhances the chemosensitivity of EJ bladder cancer cells to epirubicin in vitro. Molecular Medicine Reports. 6(5). 1133–1139. 8 indexed citations

Zhang, Jiaxing, Dong Qian, Feng-Wei Wang, et al.. (2012). MicroRNA-29c enhances the sensitivities of human nasopharyngeal carcinoma to cisplatin-based chemotherapy and radiotherapy. Cancer Letters. 329(1). 91–98. 68 indexed citations

Zhu, Wei, Mu-Yan Cai, Zhu‐Ting Tong, et al.. (2011). Overexpression of EIF5A2 promotes colorectal carcinoma cell aggressiveness by upregulating MTA1 through C-myc to induce epithelial–mesenchymaltransition. Gut. 61(4). 562–575. 147 indexed citations

Liu, Meng‐Zhong, Dan Xie, Shi-Juan Mai, et al.. (2008). Overexpression of AIB1 in Nasopharyngeal Carcinomas Correlates Closely With Advanced Tumor Stage. American Journal of Clinical Pathology. 129(5). 728–734. 20 indexed citations

X, Liu, et al.. (2000). [Characteristics of producing-fumonisin and dimorphic fungus of fusarium moniliforme].. PubMed. 34(1). 44–6. 1 indexed citations

10.

Tong, Zhu‐Ting, et al.. (1993). Human toxicosis caused by moldy rice contaminated with fusarium and T-2 toxin.. PubMed. 6(1). 65–70. 42 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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