Sangsang Tang

827 total citations · 1 hit paper
21 papers, 532 citations indexed

About

Sangsang Tang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Sangsang Tang has authored 21 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Sangsang Tang's work include Cancer-related molecular mechanisms research (7 papers), PARP inhibition in cancer therapy (6 papers) and Ovarian cancer diagnosis and treatment (5 papers). Sangsang Tang is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), PARP inhibition in cancer therapy (6 papers) and Ovarian cancer diagnosis and treatment (5 papers). Sangsang Tang collaborates with scholars based in China, Finland and Australia. Sangsang Tang's co-authors include Linyu Yang, Juan Liu, Ziqi Sun, Ming Lei, Weiguo Lü, Junfen Xu, Yuanming Shen, Yixuan Cen, Yan Ren and Weidong Fei and has published in prestigious journals such as ACS Nano, Oncogene and Scientific Reports.

In The Last Decade

Sangsang Tang

19 papers receiving 528 citations

Hit Papers

Single-Cell RNA Sequencin... 2022 2026 2023 2024 2022 40 80 120
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.

  1. Single-Cell RNA Sequencing Reveals the Tissue Architecture in Human High-Grade Serous Ovarian Cancer
    2022 138 citations Junfen Xu, Yifeng Fang et al. Clinical Cancer Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangsang Tang China 11 205 187 140 115 98 21 532
Yuanzhe Wu China 12 176 0.9× 274 1.5× 159 1.1× 76 0.7× 26 0.3× 23 595
Xinliang Zhou China 11 199 1.0× 144 0.8× 75 0.5× 28 0.2× 103 1.1× 20 476
Bit Na Kim South Korea 8 168 0.8× 144 0.8× 104 0.7× 156 1.4× 134 1.4× 13 524
Chenran Zhang China 11 210 1.0× 69 0.4× 95 0.7× 45 0.4× 49 0.5× 27 378
Lu Ma China 12 74 0.4× 119 0.6× 46 0.3× 22 0.2× 81 0.8× 19 402
Xinzhong Wang China 10 158 0.8× 83 0.4× 33 0.2× 31 0.3× 258 2.6× 27 603
Andrew Wong Canada 9 315 1.5× 203 1.1× 33 0.2× 13 0.1× 77 0.8× 12 568
Sun Ha Park South Korea 14 150 0.7× 181 1.0× 54 0.4× 42 0.4× 65 0.7× 20 582
Husheng Wang China 10 111 0.5× 65 0.3× 79 0.6× 38 0.3× 69 0.7× 19 395
S. Tsuji Japan 10 196 1.0× 254 1.4× 87 0.6× 126 1.1× 161 1.6× 26 623

Countries citing papers authored by Sangsang Tang

Since Specialization
Citations

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

Fields of papers citing papers by Sangsang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangsang Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Sangsang Tang. A scholar is included among the top collaborators of Sangsang Tang 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 Sangsang Tang. Sangsang Tang 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.
Wu, Huifeng, Xiaodong Wu, Mengdan Zhao, et al.. (2024). Regulating Cholesterol in Tumorigenesis: A Novel Paradigm for Tumor Nanotherapeutics. International Journal of Nanomedicine. Volume 19. 1055–1076. 14 indexed citations
3.
Wang, Rong, Yunxi Liu, Mingqi Liu, et al.. (2024). Combating tumor PARP inhibitor resistance: Combination treatments, nanotechnology, and other potential strategies. International Journal of Pharmaceutics. 669. 125028–125028. 2 indexed citations
4.
Shen, Yuanming, Sangsang Tang, Yumei Zhou, et al.. (2024). Human Papillomavirus Genotype Attribution and Integration in High-Grade Vaginal Intraepithelial Neoplasia. Journal of Lower Genital Tract Disease. 29(1). 60–67.
5.
Ye, Lele, Xuefei Liu, Sangsang Tang, et al.. (2024). Fatty Acid Metabolism-Related lncRNA Prognostic Signature for Serous Ovarian Carcinoma. Epigenomics. 16(5). 309–329. 2 indexed citations
6.
Wei, Xinyi, Conghui Wang, Sangsang Tang, et al.. (2024). RAD51B-AS1 promotes the malignant biological behavior of ovarian cancer through upregulation of RAD51B. Journal of Zhejiang University SCIENCE B. 25(7). 581–593. 1 indexed citations
7.
8.
Zheng, Fang, Kelie Chen, Yu Shi, et al.. (2023). PINK1-PTEN axis promotes metastasis and chemoresistance in ovarian cancer via non-canonical pathway. Journal of Experimental & Clinical Cancer Research. 42(1). 295–295. 13 indexed citations
9.
Huang, Yu, Meng Zhang, Yidan Ma, et al.. (2023). Nanotechnology-integrated ovarian cancer metastasis therapy: Insights from the metastatic mechanisms into administration routes and therapy strategies. International Journal of Pharmaceutics. 636. 122827–122827. 8 indexed citations
10.
Li, Yangyang, Yixuan Cen, Sangsang Tang, et al.. (2023). Nanoengineered Gallium Ion Incorporated Formulation for Safe and Efficient Reversal of PARP Inhibition and Platinum Resistance in Ovarian Cancer. Research. 6. 70–70. 14 indexed citations
11.
Xu, Junfen, Yifeng Fang, Kelie Chen, et al.. (2022). Single-Cell RNA Sequencing Reveals the Tissue Architecture in Human High-Grade Serous Ovarian Cancer. Clinical Cancer Research. 28(16). 3590–3602. 138 indexed citations breakdown →
12.
Ye, Lele, Su Chen, Sangsang Tang, et al.. (2022). Four Types of RNA Modification Writer-Related lncRNAs Are Effective Predictors of Prognosis and Immunotherapy Response in Serous Ovarian Carcinoma. Frontiers in Immunology. 13. 863484–863484. 10 indexed citations
13.
Tang, Sangsang, et al.. (2022). Olaparib synergizes with arsenic trioxide by promoting apoptosis and ferroptosis in platinum-resistant ovarian cancer. Cell Death and Disease. 13(9). 826–826. 46 indexed citations
14.
15.
Wang, Lingfang, Jiawei Zhu, Sangsang Tang, et al.. (2022). PLAA suppresses ovarian cancer metastasis via METTL3-mediated m6A modification of TRPC3 mRNA. Oncogene. 41(35). 4145–4158. 28 indexed citations
16.
17.
Xu, Junfen, Yuanming Shen, Conghui Wang, et al.. (2021). Arsenic compound sensitizes homologous recombination proficient ovarian cancer to PARP inhibitors. Cell Death Discovery. 7(1). 259–259. 16 indexed citations
18.
19.
Tang, Sangsang, et al.. (2020). Notch1 Affects Chemo-resistance Through Regulating Epithelial-Mesenchymal Transition (EMT) in Epithelial Ovarian cancer cells. International Journal of Medical Sciences. 17(9). 1215–1223. 19 indexed citations
20.
Yang, Linyu, et al.. (2015). Dual yolk-shell structure of carbon and silica-coated silicon for high-performance lithium-ion batteries. Scientific Reports. 5(1). 10908–10908. 194 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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