Songran Liu

561 total citations
28 papers, 328 citations indexed

About

Songran Liu is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Songran Liu has authored 28 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 10 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Songran Liu's work include Cancer Immunotherapy and Biomarkers (6 papers), Head and Neck Cancer Studies (6 papers) and Esophageal Cancer Research and Treatment (5 papers). Songran Liu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Head and Neck Cancer Studies (6 papers) and Esophageal Cancer Research and Treatment (5 papers). Songran Liu collaborates with scholars based in China, United States and Hong Kong. Songran Liu's co-authors include Yalan Tao, Chen Qu, Mian Xi, Hong Yang, Sha Zhou, Yunfei Xia, Lei Zhao, Xiaohui Li, Shiliang Liu and Xiaohui Wang and has published in prestigious journals such as International Journal of Molecular Sciences, International Journal of Radiation Oncology*Biology*Physics and Frontiers in Immunology.

In The Last Decade

Songran Liu

27 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songran Liu China 9 147 106 91 78 74 28 328
Chuner Jiang China 13 122 0.8× 69 0.7× 99 1.1× 109 1.4× 65 0.9× 31 329
Ulisses Ribaldo Nicolau Brazil 9 84 0.6× 57 0.5× 111 1.2× 40 0.5× 50 0.7× 28 243
Kevin Lee Min Chua Singapore 10 141 1.0× 52 0.5× 211 2.3× 40 0.5× 45 0.6× 30 341
Ling‐Yu Chu China 9 85 0.6× 92 0.9× 65 0.7× 75 1.0× 64 0.9× 30 220
Haolin Yan China 10 97 0.7× 66 0.6× 118 1.3× 109 1.4× 63 0.9× 21 302
Qing‐Nan Tang China 11 189 1.3× 50 0.5× 96 1.1× 157 2.0× 58 0.8× 25 378
Shao-Bo Liang China 7 162 1.1× 70 0.7× 115 1.3× 224 2.9× 58 0.8× 8 429
Chung-Jan Kang Taiwan 5 65 0.4× 141 1.3× 68 0.7× 74 0.9× 137 1.9× 10 307
Xiaoqing Xu China 12 126 0.9× 105 1.0× 67 0.7× 53 0.7× 97 1.3× 28 298
Danilo Galizia Italy 10 179 1.2× 58 0.5× 108 1.2× 26 0.3× 68 0.9× 32 285

Countries citing papers authored by Songran Liu

Since Specialization
Citations

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

Fields of papers citing papers by Songran Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songran Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Songran Liu. A scholar is included among the top collaborators of Songran Liu 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 Songran Liu. Songran Liu 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
2.
Liu, Yimei, et al.. (2024). A novel evaluation model of image registration for cone‐beam computed tomography guided lung cancer radiotherapy. Thoracic Cancer. 15(17). 1333–1342. 1 indexed citations
3.
4.
Wang, Daquan, Bo Qiu, Qianwen Liu, et al.. (2023). Patlak-Ki derived from ultra-high sensitivity dynamic total body [18F]FDG PET/CT correlates with the response to induction immuno-chemotherapy in locally advanced non-small cell lung cancer patients. European Journal of Nuclear Medicine and Molecular Imaging. 50(11). 3400–3413. 18 indexed citations
6.
Feng, Ping, Ying Wang, Xiang Xiao, et al.. (2023). Silencing GMPPB Inhibits the Proliferation and Invasion of GBM via Hippo/MMP3 Pathways. International Journal of Molecular Sciences. 24(19). 14707–14707. 3 indexed citations
7.
Chu, Chu, Ying Liang, Xiaosheng Lin, et al.. (2022). Hypofractionated Radiation Therapy Combined With Weekly Chemotherapy in Patients With Unresectable or Recurrent Thymic Epithelial Tumor: A Prospective, Single-Arm Phase 2 Study (GASTO-1042). International Journal of Radiation Oncology*Biology*Physics. 114(1). 89–98. 2 indexed citations
8.
Xu, Yanbo, Weihao Li, Weili Zhang, et al.. (2022). The Pathologic Complete Response Ratio of Liver Metastases Represents a Valuable Prognostic Indicator. Pathology & Oncology Research. 28. 1610663–1610663. 3 indexed citations
9.
Wang, Ying, et al.. (2022). A Nomogram to Predict Survival in Patients With Locoregional Recurrent Nasopharyngeal Carcinoma Receiving Comprehensive Treatment. Frontiers in Oncology. 12. 892510–892510. 2 indexed citations
10.
Wang, Daquan, Xu Zhang, Hui Liu, et al.. (2022). Assessing dynamic metabolic heterogeneity in non-small cell lung cancer patients via ultra-high sensitivity total-body [18F]FDG PET/CT imaging: quantitative analysis of [18F]FDG uptake in primary tumors and metastatic lymph nodes. European Journal of Nuclear Medicine and Molecular Imaging. 49(13). 4692–4704. 25 indexed citations
11.
Deng, Yuxiang, Long Yu, Yujie Zhao, et al.. (2021). RCC1 Expression as a Prognostic Marker in Colorectal Liver Oligometastases. Pathology & Oncology Research. 27. 1610077–1610077. 8 indexed citations
12.
Wang, Xin, Dongming Lv, Yalan Tao, et al.. (2021). EBF3 reactivation by inhibiting the EGR1/EZH2/HDAC9 complex promotes metastasis via transcriptionally enhancing vimentin in nasopharyngeal carcinoma. Cancer Letters. 527. 49–65. 17 indexed citations
13.
Wang, Guan‐Nan, Songran Liu, Chen Chen, et al.. (2021). Prognostic value of hepatitis B viral infection in patients with nasopharyngeal carcinoma in the intensity-modulated radiotherapy era. Translational Cancer Research. 10(11). 4624–4635. 2 indexed citations
14.
Zhou, Sha, Hong Yang, Jun Zhang, et al.. (2020). Changes in Indoleamine 2,3-Dioxygenase 1 Expression and CD8+ Tumor-Infiltrating Lymphocytes after Neoadjuvant Chemoradiation Therapy and Prognostic Significance in Esophageal Squamous Cell Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 108(1). 286–294. 18 indexed citations
15.
Chen, Chen, Songran Liu, Xiaohui Li, et al.. (2019). Recombined humanized endostatin (Endostar) intravenous infusion in the treatment of refractory nasopharyngeal carcinoma. Medicine. 98(32). e16592–e16592. 3 indexed citations
17.
Li, Qiaoqiao, Sha Zhou, Shiliang Liu, et al.. (2019). Treatment-Related Lymphopenia Predicts Pathologic Complete Response and Recurrence in Esophageal Squamous Cell Carcinoma Undergoing Neoadjuvant Chemoradiotherapy. Annals of Surgical Oncology. 26(9). 2882–2889. 16 indexed citations
18.
Chang, Hui, Yi Wei, Xiaohui Wang, et al.. (2018). Effectiveness and safety of different amifostine regimens: Preliminary results of a phase II multicenter randomized controlled trial. Chinese Journal of Cancer Research. 30(3). 307–314. 6 indexed citations
19.
Li, Qiwen, Li Ma, Bo Qiu, et al.. (2018). Differential expression profiles of long noncoding RNAs in synchronous multiple and solitary primary esophageal squamous cell carcinomas: A microarray analysis. Journal of Cellular Biochemistry. 120(2). 2439–2453. 5 indexed citations
20.
Li, Xiaohui, Hui Chang, Bingqing Xu, et al.. (2016). An inflammatory biomarker‐based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study. Cancer Medicine. 6(1). 310–319. 75 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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