Congrong Yang

408 total citations
23 papers, 301 citations indexed

About

Congrong Yang is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Congrong Yang has authored 23 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Surgery and 7 papers in Oncology. Recurrent topics in Congrong Yang's work include Colorectal Cancer Surgical Treatments (4 papers), Esophageal Cancer Research and Treatment (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Congrong Yang is often cited by papers focused on Colorectal Cancer Surgical Treatments (4 papers), Esophageal Cancer Research and Treatment (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Congrong Yang collaborates with scholars based in China, United States and South Korea. Congrong Yang's co-authors include Pranay Srivastava, Guogui Sun, Yadi Wang, Fuli Zhang, Qing Liu, Jian Wu, Xuetao Zhao, Chenglin Li, Chun Han and Qing Liu and has published in prestigious journals such as Molecular Cell, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Congrong Yang

23 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congrong Yang China 11 153 79 72 47 33 23 301
Ke Cai China 14 284 1.9× 22 0.3× 28 0.4× 101 2.1× 41 1.2× 35 421
Yibin Zhou China 11 116 0.8× 102 1.3× 30 0.4× 57 1.2× 60 1.8× 48 348
Zili Lin China 15 294 1.9× 42 0.5× 23 0.3× 28 0.6× 43 1.3× 36 491
Xian Jiang China 7 159 1.0× 48 0.6× 22 0.3× 72 1.5× 37 1.1× 13 328
Lin Yu China 10 134 0.9× 24 0.3× 12 0.2× 48 1.0× 77 2.3× 22 292
Songtao Cheng China 9 172 1.1× 68 0.9× 56 0.8× 124 2.6× 34 1.0× 16 300
Zhaoyan Yu China 10 193 1.3× 31 0.4× 51 0.7× 165 3.5× 41 1.2× 26 351
Junshin Fujiyama Japan 10 198 1.3× 73 0.9× 81 1.1× 45 1.0× 61 1.8× 20 372

Countries citing papers authored by Congrong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Congrong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congrong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Congrong Yang. A scholar is included among the top collaborators of Congrong Yang 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 Congrong Yang. Congrong Yang 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.
Yang, Congrong, Lei Wu, Yuenan Zhou, et al.. (2025). ZBP1 senses splicing aberration through Z-RNA to promote cell death. Molecular Cell. 85(9). 1775–1789.e5. 2 indexed citations
2.
Cai, Zhiyu, Hao Liang, Congrong Yang, et al.. (2024). A ZBP1 isoform blocks ZBP1-mediated cell death. Cell Reports. 43(5). 114221–114221. 5 indexed citations
3.
Zhou, Chaoxi, Xiaoxiao Zhang, Yuting Xiao, et al.. (2023). Assessing the predictive value of clinical factors to pathological complete response for locally advanced rectal cancer: An analysis of 124 patients. Frontiers in Oncology. 13. 1125470–1125470. 5 indexed citations
4.
Li, Jingyuan, Congrong Yang, Xiaoming Zhang, et al.. (2023). Alkyl-substituted poly(arylene piperidinium) membranes enhancing the performance of high-temperature polymer electrolyte membrane fuel cells. Journal of Materials Chemistry A. 11(34). 18409–18418. 20 indexed citations
5.
Wu, Fengpeng, Xiaoxiao Zhang, Congrong Yang, et al.. (2022). The reduction of 18F-FDG uptake ability of tumor tissue after neoadjuvant chemoradiotherapy in locally advanced rectal cancer can effectively reflect the degree of tumor regression. Frontiers in Oncology. 12. 1037783–1037783. 2 indexed citations
6.
Wu, Fengpeng, Xiaoxiao Zhang, Congrong Yang, et al.. (2021). Screening of MicroRNA Related to Irradiation Response and the Regulation Mechanism of miRNA-96-5p in Rectal Cancer Cells. Frontiers in Oncology. 11. 699475–699475. 5 indexed citations
7.
Wu, Fengpeng, Chaoxi Zhou, Congrong Yang, et al.. (2020). Analysis of influencing factors of no/low response to preoperative concurrent chemoradiotherapy in locally advanced rectal cancer. PLoS ONE. 15(6). e0234310–e0234310. 1 indexed citations
8.
Wu, Fengpeng, Congrong Yang, Chaoxi Zhou, et al.. (2019). Volumetric imaging parameters are significant for predicting the pathological complete response of preoperative concurrent chemoradiotherapy in local advanced rectal cancer. Journal of Radiation Research. 60(5). 666–676. 4 indexed citations
9.
Zhao, Xuetao, et al.. (2018). ADAMTS8 targets ERK to suppress cell proliferation, invasion, and metastasis of hepatocellular carcinoma. OncoTargets and Therapy. Volume 11. 7569–7578. 24 indexed citations
10.
Wang, Jun, et al.. (2017). Effect of nutritional status and inflammatory markers on acute adverse reactions during concurrent chemoradiotherapy for esophageal carcinoma. Zhonghua fangshe zhongliuxue zazhi. 26(9). 1012–1018. 1 indexed citations
11.
Sun, Guogui, et al.. (2014). Association of EMP1 with gastric carcinoma invasion, survival and prognosis. International Journal of Oncology. 45(3). 1091–1098. 30 indexed citations
12.
Li, Chenglin, Xinliang Zhou, Yadi Wang, et al.. (2014). miR-210 regulates esophageal cancer cell proliferation by inducing G2/M phase cell cycle arrest through targeting PLK1. Molecular Medicine Reports. 10(4). 2099–2104. 13 indexed citations
13.
Wang, Jun, Congrong Yang, Yi Wang, et al.. (2014). [Relationship between hypoxia inducible factor-1α and esophageal squamous cell carcinoma: a meta analysis].. PubMed. 43(9). 593–9. 3 indexed citations
14.
Yang, Congrong, Yadi Wang, Fuli Zhang, et al.. (2013). Inhibiting UHRF1 expression enhances radiosensitivity in human esophageal squamous cell carcinoma. Molecular Biology Reports. 40(9). 5225–5235. 32 indexed citations
15.
Sun, Guogui, Wanning Hu, Jun Zhang, Chenglin Li, & Congrong Yang. (2013). Effect of Nitric Oxide on Esophageal Cancer Cell Line TE-1. Chinese Medical Sciences Journal. 28(1). 44–49. 4 indexed citations
16.
Li, Chenglin, Fuli Zhang, Yadi Wang, et al.. (2012). Characteristics of recurrence after radical esophagectomy with two-field lymph node dissection for thoracic esophageal cancer. Oncology Letters. 5(1). 355–359. 34 indexed citations
17.
Sun, Guogui, et al.. (2012). Bidirectional Regulation of Manganese Superoxide Dismutase (MnSOD) on the Radiosensitivity of Esophageal Cancer Cells. Asian Pacific Journal of Cancer Prevention. 13(7). 3015–3023. 5 indexed citations
18.
Sun, Guogui, Wanning Hu, Jun Zhang, & Congrong Yang. (2012). Predictive biomarker and clinicopathological characteristics analysis for esophageal cancer. The Chinese-German Journal of Clinical Oncology. 11(2). 83–88. 1 indexed citations
19.
20.
Yang, Congrong & Pranay Srivastava. (1976). Purification and properties of arylsulphatase A from rabbit testis. Biochemical Journal. 159(1). 133–142. 27 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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