Qiuqiong Tang

812 total citations
20 papers, 582 citations indexed

About

Qiuqiong Tang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Qiuqiong Tang has authored 20 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Immunology. Recurrent topics in Qiuqiong Tang's work include Cancer-related Molecular Pathways (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Epigenetics and DNA Methylation (3 papers). Qiuqiong Tang is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Epigenetics and DNA Methylation (3 papers). Qiuqiong Tang collaborates with scholars based in China, Germany and United States. Qiuqiong Tang's co-authors include Barbara Burwinkel, Harald Surowy, Xue Cao, Weidong Hao, Hongqian Chu, Xuetao Wei, Yifan Zhai, Douglas D. Fang, Dajun Yang and Qixin Wang and has published in prestigious journals such as Cancer Research, International Journal of Molecular Sciences and International Journal of Cancer.

In The Last Decade

Qiuqiong Tang

19 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiuqiong Tang China 13 357 174 150 79 52 20 582
Francesca Conserva Italy 14 449 1.3× 115 0.7× 244 1.6× 52 0.7× 40 0.8× 26 774
Mark Wade United States 13 314 0.9× 150 0.9× 80 0.5× 98 1.2× 68 1.3× 35 632
Ke Huang China 17 504 1.4× 141 0.8× 236 1.6× 81 1.0× 78 1.5× 68 841
Shelley J. Edmunds New Zealand 13 486 1.4× 176 1.0× 216 1.4× 67 0.8× 60 1.2× 15 759
Erik R. Kline United States 10 378 1.1× 193 1.1× 181 1.2× 63 0.8× 53 1.0× 13 834
Valentina Condelli Italy 19 570 1.6× 176 1.0× 167 1.1× 63 0.8× 86 1.7× 31 849
Xiuli Yang China 16 333 0.9× 193 1.1× 176 1.2× 127 1.6× 30 0.6× 44 624
Aida S. Hansen Denmark 10 509 1.4× 247 1.4× 184 1.2× 172 2.2× 72 1.4× 21 903
Naser Jafari United States 17 424 1.2× 87 0.5× 262 1.7× 79 1.0× 58 1.1× 25 670
Bixin Xi China 17 488 1.4× 216 1.2× 196 1.3× 88 1.1× 113 2.2× 26 848

Countries citing papers authored by Qiuqiong Tang

Since Specialization
Citations

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

Fields of papers citing papers by Qiuqiong Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiuqiong Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Qiuqiong Tang. A scholar is included among the top collaborators of Qiuqiong 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 Qiuqiong Tang. Qiuqiong 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.
Tang, Qiuqiong, et al.. (2022). Abstract 2998: Inhibition of MDM2-p53 interaction by alrizomadlin (APG-115) induces pyroptotic cell death in gasdermin E (GSDME)-expressing cancer cells. Cancer Research. 82(12_Supplement). 2998–2998. 1 indexed citations
2.
Fang, Douglas D., Hengrui Zhu, Qiuqiong Tang, et al.. (2021). FLT3 inhibition by olverembatinib (HQP1351) downregulates MCL-1 and synergizes with BCL-2 inhibitor lisaftoclax (APG-2575) in preclinical models of FLT3-ITD mutant acute myeloid leukemia. Translational Oncology. 15(1). 101244–101244. 16 indexed citations
3.
Fang, Douglas D., Qiuqiong Tang, Rong Tao, et al.. (2021). MDM2 inhibitor APG-115 exerts potent antitumor activity and synergizes with standard-of-care agents in preclinical acute myeloid leukemia models. Cell Death Discovery. 7(1). 90–90. 39 indexed citations
4.
Fang, Douglas D., Qiuqiong Tang, Qixin Wang, et al.. (2020). Abstract 4217: Synergy of tyrosine kinase inhibitor HQP1351 and MDM2-P53 antagonist, APG-115, in preclinical models of FLT3 mutant and TP53 wild-type acute myeloid leukemia. Cancer Research. 80(16_Supplement). 4217–4217. 2 indexed citations
6.
Fang, Douglas D., Qiuqiong Tang, Qixin Wang, et al.. (2019). MDM2 inhibitor APG-115 synergizes with PD-1 blockade through enhancing antitumor immunity in the tumor microenvironment. Journal for ImmunoTherapy of Cancer. 7(1). 327–327. 118 indexed citations
7.
Fang, Douglas D., Qiuqiong Tang, Qixin Wang, et al.. (2019). Abstract 3192: Activation of p53 in the tumor microenvironment by MDM2 inhibitor APG-115 synergizes with PD-1 blockade independently of p53 status of tumor cells. Cancer Research. 79(13_Supplement). 3192–3192. 1 indexed citations
8.
Fang, Douglas D., Ran Tao, Qiuqiong Tang, et al.. (2019). Abstract 2058: BCL-2 selective inhibitor APG-2575 synergizes with BTK inhibitor in preclinical xenograft models of follicular lymphoma and diffuse large B-cell lymphoma. Cancer Research. 79(13_Supplement). 2058–2058. 2 indexed citations
10.
Cao, Xue, Qiuqiong Tang, Tim Holland‐Letz, et al.. (2018). Evaluation of Promoter Methylation of RASSF1A and ATM in Peripheral Blood of Breast Cancer Patients and Healthy Control Individuals. International Journal of Molecular Sciences. 19(3). 900–900. 17 indexed citations
11.
Schafferer, Simon, Qiuqiong Tang, Matthias Scheffler, et al.. (2018). A plasma metabolite panel as biomarkers for early primary breast cancer detection. International Journal of Cancer. 144(11). 2833–2842. 42 indexed citations
12.
Tang, Qiuqiong, et al.. (2017). Cell-Free Circulating DNA Integrity Based on Peripheral Blood as a Biomarker for Diagnosis of Cancer: A Systematic Review. Cancer Epidemiology Biomarkers & Prevention. 26(11). 1595–1602. 33 indexed citations
13.
Cao, Xue, Tim Holland‐Letz, Qiuqiong Tang, et al.. (2017). Investigation of Global Methylation in Peripheral Blood from Breast Cancer Patients. Journal of Molecular Biomarkers & Diagnosis. 1(S2). 1 indexed citations
14.
Wang, Siqi, Qiuqiong Tang, Jun Fu, et al.. (2016). The effect of ethephon on immune system in male offspring of mice. Environmental Toxicology and Pharmacology. 49. 119–123. 14 indexed citations
15.
Tang, Qiuqiong, et al.. (2016). Blood-based DNA methylation as biomarker for breast cancer: a systematic review. Clinical Epigenetics. 8(1). 115–115. 123 indexed citations
16.
17.
Tang, Qiuqiong, Hongqian Chu, Jianjun Jiang, et al.. (2014). MAP4K4 deletion inhibits proliferation and activation of CD4+ T cell and promotes T regulatory cell generation in vitro. Cellular Immunology. 289(1-2). 15–20. 19 indexed citations
18.
Zou, Peng, et al.. (2012). Comparative evaluation of the teratogenicity of genistein and genistin using rat whole embryo culture and limbud micromass culture methods. Food and Chemical Toxicology. 50(8). 2831–2836. 4 indexed citations
20.
Fu, Jun, Cike Peng, Wanyi Wang, et al.. (2011). Let-7g is involved in doxorubicin induced myocardial injury. Environmental Toxicology and Pharmacology. 33(2). 312–317. 35 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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