Jun-Ting Cheng

1.1k total citations · 1 hit paper
15 papers, 852 citations indexed

About

Jun-Ting Cheng is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Jun-Ting Cheng has authored 15 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Jun-Ting Cheng's work include Virus-based gene therapy research (6 papers), Herpesvirus Infections and Treatments (5 papers) and RNA modifications and cancer (3 papers). Jun-Ting Cheng is often cited by papers focused on Virus-based gene therapy research (6 papers), Herpesvirus Infections and Treatments (5 papers) and RNA modifications and cancer (3 papers). Jun-Ting Cheng collaborates with scholars based in China, Singapore and Germany. Jun-Ting Cheng's co-authors include Zhaowu Ma, Hong-Wu Xin, Ying Xiang, Yingying Wang, Xianwang Wang, Xiaochun Peng, Shuzhong Cui, Wen-Qi Cai, Lingzhi Wang and Gautam Sethi and has published in prestigious journals such as Antioxidants and Redox Signaling, European Journal of Pharmacology and Journal of Hematology & Oncology.

In The Last Decade

Jun-Ting Cheng

14 papers receiving 836 citations

Hit Papers

align trajectories

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.

Dendritic cell biology and its role in tumor immunotherapy

2020 327 citations Yingying Wang, Ying Xiang et al. Journal of Hematology & Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun-Ting Cheng China	11	443	345	270	210	93	15	852
Lopamudra Das Roy United States	16	605 1.4×	599 1.7×	369 1.4×	203 1.0×	99 1.1×	31	1.1k
Martina Di Modica Italy	12	588 1.3×	444 1.3×	249 0.9×	189 0.9×	62 0.7×	15	972
Xiuyan Yu China	16	412 0.9×	277 0.8×	264 1.0×	208 1.0×	69 0.7×	35	916
Han Shen China	17	432 1.0×	224 0.6×	311 1.2×	118 0.6×	35 0.4×	65	905
Н. В. Литвяков Russia	18	405 0.9×	417 1.2×	154 0.6×	270 1.3×	44 0.5×	110	955
Valesca Boisguérin Germany	10	453 1.0×	242 0.7×	324 1.2×	116 0.6×	49 0.5×	11	838
Lunxi Liang China	10	503 1.1×	457 1.3×	299 1.1×	267 1.3×	93 1.0×	16	1.0k
Anna Rossini Italy	12	514 1.2×	217 0.6×	276 1.0×	307 1.5×	66 0.7×	22	940
Hyang Sook Seol South Korea	15	327 0.7×	288 0.8×	97 0.4×	228 1.1×	78 0.8×	22	754
Thomas Bukur Germany	12	646 1.5×	445 1.3×	751 2.8×	120 0.6×	92 1.0×	21	1.4k

Countries citing papers authored by Jun-Ting Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Jun-Ting Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun-Ting Cheng

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

All Works

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15 of 15 papers shown

Zhou, Yang, Yingying Wang, Jun-Ting Cheng, et al.. (2021). Bioinformatics Analysis Revealed Potential Tumor Suppressors (KLF4/CGN), Oncogenes (SHH/LIF) and Biomarkers of Asian Stomach Adenocarcinoma. 5(2). 141–156. 1 indexed citations

Zhou, Yang, Jun-Ting Cheng, Yingying Wang, et al.. (2021). Could gastrointestinal tumor-initiating cells originate from cell-cell fusionin vivo?. World Journal of Gastrointestinal Oncology. 13(2). 92–108. 1 indexed citations

Ma, Zhaowu, Chenguang Liu, Jun-Ting Cheng, et al.. (2021). Repurposing Artemisinin and its Derivatives as Anticancer Drugs: A Chance or Challenge?. Frontiers in Pharmacology. 12. 828856–828856. 38 indexed citations

Huang, Qi, Wen-Qi Cai, Yang Zhou, et al.. (2021). Bispecific T cell engagers and their synergistic tumor immunotherapy with oncolytic viruses.. PubMed. 11(6). 2430–2455. 23 indexed citations

Cai, Wen-Qi, Lisi Zeng, Lifeng Wang, et al.. (2020). The Latest Battles Between EGFR Monoclonal Antibodies and Resistant Tumor Cells. Frontiers in Oncology. 10. 1249–1249. 127 indexed citations

Ma, Zhaowu, Jun-Ting Cheng, Sze Tung Lam, et al.. (2020). Targeting Hypoxia-Inducible Factor-1-Mediated Metastasis for Cancer Therapy. Antioxidants and Redox Signaling. 34(18). 1484–1497. 78 indexed citations

Cui, Bin, Yingying Wang, Jun-Ting Cheng, et al.. (2020). The old CEACAMs find their new role in tumor immunotherapy. Investigational New Drugs. 38(6). 1888–1898. 32 indexed citations

Wang, Yingying, Ying Xiang, Xianwang Wang, et al.. (2020). Dendritic cell biology and its role in tumor immunotherapy. Journal of Hematology & Oncology. 13(1). 107–107. 327 indexed citations breakdown →

Zhang, Ying, Qiang Xin, Jun-Yi Zhang, et al.. (2020). Transcriptional Regulation of Latency-Associated Transcripts (LATs) of Herpes Simplex Viruses. Journal of Cancer. 11(11). 3387–3399. 6 indexed citations

10.

Cheng, Jun-Ting, Yingying Wang, Ying Zhang, et al.. (2020). Novel transcription regulatory sequences and factors of the immune evasion protein ICP47 (US12) of herpes simplex viruses. Virology Journal. 17(1). 101–101. 11 indexed citations

11.

Shi, Fang, Xiaoqin Liu, Yingying Wang, et al.. (2020). Identification of 22 Novel Motifs of the Cell Entry Fusion Glycoprotein B of Oncolytic Herpes Simplex Viruses: Sequence Analysis and Literature Review. Frontiers in Oncology. 10. 1386–1386. 5 indexed citations

12.

Wang, Yingying, Hong-Yi Xin, Jun-Ting Cheng, et al.. (2019). Identification of Putative UL54 (ICP27) Transcription Regulatory Sequences Binding to Oct-1, v-Myb, Pax-6 and Hairy in Herpes Simplex Viruses. Journal of Cancer. 10(2). 430–440. 15 indexed citations

13.

Cheng, Jun-Ting, Lingzhi Wang, Hong Wang, et al.. (2019). Insights into Biological Role of LncRNAs in Epithelial-Mesenchymal Transition. Cells. 8(10). 1178–1178. 155 indexed citations

14.

Liu, Xiaoqin, Hong-Yi Xin, Zhaowu Ma, et al.. (2018). Oncolytic herpes simplex virus tumor targeting and neutralization escape by engineering viral envelope glycoproteins. Drug Delivery. 25(1). 1950–1962. 23 indexed citations

15.

Liao, Chang‐Hui, Jun-Ting Cheng, & Che‐Ming Teng. (2005). Interference of neutrophil–platelet interaction by YC-1: A cGMP-dependent manner on heterotypic cell–cell interaction. European Journal of Pharmacology. 519(1-2). 158–167. 10 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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