Ting Shuang

485 total citations
15 papers, 380 citations indexed

About

Ting Shuang is a scholar working on Cancer Research, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Ting Shuang has authored 15 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 11 papers in Molecular Biology and 3 papers in Reproductive Medicine. Recurrent topics in Ting Shuang's work include Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (7 papers). Ting Shuang is often cited by papers focused on Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (7 papers). Ting Shuang collaborates with scholars based in China. Ting Shuang's co-authors include Yingying Zhou, Cong Shi, Min Wang, Biliang Chen, Dandan Wang, Shuang Chang, Lijuan Qu, Qiang Hao, Lu Fan and Haixu Wang and has published in prestigious journals such as FEBS Letters, International Journal of Molecular Sciences and Cancer Letters.

In The Last Decade

Ting Shuang

15 papers receiving 377 citations

Peers

Ting Shuang
Comparison fields: 5 of 53
  • Molecular Biology 286
  • Cancer Research 252
  • Oncology 38
  • Reproductive Medicine 38
  • Immunology 31
Guofen Yang China
Lupin Jiang China
Evgeny Chirshev United States
Shuai Kong China
Yuanhang Zhu China
Huaiming Sang China
Saitian Zeng China
Sunyoung Chae South Korea
Tong Shu China
Guofen Yang China View profile →
Citations per field, relative to Ting Shuang
Ting Shuang · 1×
Citations per year, relative to Ting Shuang
Ting Shuang · 1×

Countries citing papers authored by Ting Shuang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Shuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Shuang

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

All Works

15 of 15 papers shown
# Title Journal Authors Indexed citations
1 The up-regulation of PAK2 indicates unfavorable prognosis in patients with serous epithelial ovarian cancer and contributes to paclitaxel resistance in ovarian cancer cells BMC Cancer Ting Shuang, Yifei Zhao et al. 5
2 Targeted delivery of exosomal miR-484 reprograms tumor vasculature for chemotherapy sensitization Cancer Letters Ting Shuang, Lu Fan et al. 49
3 Extremely high serum CA19-9 level along with elevated D-dimer in assisting detection of ruptured ovarian endometriosis Annals of Medicine Ting Shuang, Yiran Wang et al. 6
4 Dysregulation of lnc-SNHG1 and miR-216b-5p correlate with chemoresistance and indicate poor prognosis of serous epithelial ovarian cancer Journal of Ovarian Research Ting Shuang et al. 21
5 Low-intensity ultrasound radiation increases exosome yield for efficient drug delivery Journal of Drug Delivery Science and Technology Lijuan Qu, Ting Shuang et al. 35
6 MiR-1307 influences the chemotherapeutic sensitivity in ovarian cancer cells through the regulation of the CIC transcriptional repressor Pathology - Research and Practice Yingying Zhou, Ting Shuang et al. 22
7 Up-Regulation of Long Noncoding RNA SRA Promotes Cell Growth, Inhibits Cell Apoptosis, and Induces Secretion of Estradiol and Progesterone in Ovarian Granular Cells of Mice Medical Science Monitor Yan Li, Haixu Wang et al. 44
8 NF-κB1, c-Rel, and ELK1 inhibit miR-134 expression leading to TAB1 upregulation in paclitaxel-resistant human ovarian cancer Oncotarget Ting Shuang, Yingying Zhou et al. 35
9 Hybrid-polymerase chain reaction to identify novel target genes of miR-134 in paclitaxel resistant human ovarian carcinoma cells Oncology Letters Ting Shuang, Min Wang et al. 8
10 Over-expression of nuclear NF-κB1 and c-Rel correlates with chemoresistance and prognosis of serous epithelial ovarian cancer Experimental and Molecular Pathology Ting Shuang, Min Wang et al. 22
11 The clinicopathological significance of miR-1307 in chemotherapy resistant epithelial ovarian cancer Journal of Ovarian Research Yingying Zhou, Min Wang et al. 35
12 Over-expression of Sirt1 contributes to chemoresistance and indicates poor prognosis in serous epithelial ovarian cancer (EOC) Medical Oncology Ting Shuang, Yingying Zhou et al. 43
13 Down‐regulated expression of miR‐134 contributes to paclitaxel resistance in human ovarian cancer cells FEBS Letters Ting Shuang, Min Wang et al. 37
14 Expression of the ELAV-like protein HuR in the cytoplasm is associated with endometrial carcinoma progression Tumor Biology Dandan Wang, Ting Shuang et al. 9
15 Downregulation of miR-17~92 Expression Increase Paclitaxel Sensitivity in Human Ovarian Carcinoma SKOV3-TR30 Cells via BIM Instead of PTEN International Journal of Molecular Sciences Ting Shuang, Chunxue Shi et al. 9

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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