Songfeng Wei

459 total citations
23 papers, 360 citations indexed

About

Songfeng Wei is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Songfeng Wei has authored 23 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Songfeng Wei's work include Thyroid Cancer Diagnosis and Treatment (13 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Thyroid and Parathyroid Surgery (4 papers). Songfeng Wei is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (13 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Thyroid and Parathyroid Surgery (4 papers). Songfeng Wei collaborates with scholars based in China, United States and Czechia. Songfeng Wei's co-authors include Ming Gao, Xiangqian Zheng, Yang Yu, Xinwei Yun, Ying Han, Xiubao Ren, Xianhui Ruan, Jingzhu Zhao, Linfei Hu and Xiukun Hou and has published in prestigious journals such as ACS Applied Materials & Interfaces, Advanced Science and Cell Death and Disease.

In The Last Decade

Songfeng Wei

21 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songfeng Wei China 10 208 157 84 75 52 23 360
Jingtai Zhi China 13 163 0.8× 231 1.5× 65 0.8× 77 1.0× 102 2.0× 29 443
Libo Chen China 11 213 1.0× 109 0.7× 58 0.7× 49 0.7× 58 1.1× 21 299
Patricia Borges de Souza Italy 7 223 1.1× 119 0.8× 36 0.4× 69 0.9× 84 1.6× 12 367
Carla Vaz Ferreira Brazil 8 215 1.0× 77 0.5× 60 0.7× 46 0.6× 65 1.3× 11 280
Xinwei Yun China 11 133 0.6× 345 2.2× 56 0.7× 147 2.0× 99 1.9× 21 509
Tomasz Trybek Poland 11 205 1.0× 102 0.6× 60 0.7× 21 0.3× 57 1.1× 16 313
Suzan Schwertheim Germany 10 202 1.0× 160 1.0× 69 0.8× 138 1.8× 41 0.8× 15 379
Sophie Moog France 10 103 0.5× 114 0.7× 108 1.3× 121 1.6× 27 0.5× 23 304
Xuezhu Wang China 9 58 0.3× 75 0.5× 99 1.2× 63 0.8× 132 2.5× 37 331
Chun Huang China 11 60 0.3× 94 0.6× 91 1.1× 40 0.5× 32 0.6× 19 257

Countries citing papers authored by Songfeng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Songfeng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songfeng Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Songfeng Wei. A scholar is included among the top collaborators of Songfeng Wei 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 Songfeng Wei. Songfeng Wei 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.
Tao, Mei, Xianhui Ruan, Wei Luo, et al.. (2025). Enhancer-mediated NR2F2 recruitment activates BGN to promote tumor growth and shape tumor microenvironment in papillary thyroid cancer. Theranostics. 16(1). 298–324. 1 indexed citations
3.
Ruan, Xianhui, Yue Huang, Weiyu Zhang, et al.. (2024). SETMAR Facilitates the Differentiation of Thyroid Cancer by Regulating SMARCA2‐Mediated Chromatin Remodeling. Advanced Science. 11(32). e2401712–e2401712. 9 indexed citations
4.
Guo, Fengli, Lijuan Li, Pengfei Gu, et al.. (2024). Changes of biochemical factors and the effect on recurrence of medullary thyroid carcinoma after surgery. Heliyon. 10(8). e29857–e29857. 1 indexed citations
5.
Hou, Xiukun, Junya Ning, Zhongyu Wang, et al.. (2023). PARP inhibitor shuts down the global translation of thyroid cancer through promoting Pol II binding to DIMT1 pause. International Journal of Biological Sciences. 19(12). 3970–3986. 5 indexed citations
7.
Gu, Pengfei, Bin Ling, Jinming Zhang, et al.. (2022). Indoleamine 2,3-dioxygenase 2 immunohistochemical expression in medullary thyroid carcinoma: implications in prognosis and immunomodulatory effects. BMC Cancer. 22(1). 1116–1116. 3 indexed citations
8.
Hou, Xiukun, Xianle Shi, Wei Zhang, et al.. (2021). LDHA induces EMT gene transcription and regulates autophagy to promote the metastasis and tumorigenesis of papillary thyroid carcinoma. Cell Death and Disease. 12(4). 347–347. 72 indexed citations
9.
Chi, Jiadong, Jingzhu Zhao, Songfeng Wei, et al.. (2021). A CRISPR-Cas9-Based Near-Infrared Upconversion-Activated DNA Methylation Editing System. ACS Applied Materials & Interfaces. 13(5). 6043–6052. 15 indexed citations
10.
Wang, Huijuan, Jingzhu Zhao, Linfei Hu, et al.. (2020). Apatinib Inhibits Cell Proliferation and Induces Autophagy in Human Papillary Thyroid Carcinoma via the PI3K/Akt/mTOR Signaling Pathway. Frontiers in Oncology. 10. 217–217. 38 indexed citations
11.
Wang, Junyi, Yang Yu, Dapeng Li, et al.. (2016). The rare RET mutation Y606C in a Chinese family with familial medullary thyroid carcinoma. Clinical Oncology and Cancer Research. 43(21). 947–951.
12.
Chen, Peng, Songfeng Wei, Xiangqian Zheng, et al.. (2016). Clinicopathological features and risk factors for central compartment nodal metastasis in papillary thyroid microcarcinoma: a study of 1 401 patients. Clinical Oncology and Cancer Research. 43(3). 95–99. 1 indexed citations
13.
Zhang, Yan, et al.. (2015). Outcome of papillary thyroid microcarcinoma: Study of 1,990 cases. Molecular and Clinical Oncology. 3(3). 672–676. 21 indexed citations
14.
Wei, Songfeng, Ming Gao, Yi Pan, et al.. (2013). Low expression of sodium iodide symporter expression in aggressive variants of papillary thyroid carcinoma. International Journal of Clinical Oncology. 19(5). 800–804. 13 indexed citations
15.
Jia, Yongsheng, Yang Yu, Xiaolong Li, et al.. (2013). Diagnostic value of B‐RAFV600E in difficult‐to‐diagnose thyroid nodules using fine‐needle aspiration: Systematic review and meta‐analysis. Diagnostic Cytopathology. 42(1). 94–101. 25 indexed citations
16.
Zheng, Xiangqian, Songfeng Wei, Ying Han, et al.. (2013). Papillary Microcarcinoma of the Thyroid: Clinical Characteristics and BRAFV600E Mutational Status of 977 Cases. Annals of Surgical Oncology. 20(7). 2266–2273. 100 indexed citations
17.
Zhao, Jing, et al.. (2012). BRAF V600E mutation in papillary thyroid carcinoma. Clinical Oncology and Cancer Research. 39(11). 785–787. 2 indexed citations
18.
Zheng, Xiangqian, Songfeng Wei, Yang Yu, et al.. (2012). Genetic and clinical characteristics of head and neck paragangliomas in a chinese population. The Laryngoscope. 122(8). 1761–1766. 11 indexed citations
19.
Zheng, Xiangqian, Lin Lin, Songyuan Gao, et al.. (2012). BRAFV600E status and clinical characteristics in solitary and multiple papillary thyroid carcinoma: experience of 512 cases at a clinical center in China. World Journal of Surgical Oncology. 10(1). 104–104. 19 indexed citations
20.
Liu, Lei, Yigong Li, Xiangqian Zheng, et al.. (2011). Detecion and clinical analysis of urinary iodine in patients with thyroid tumor in Tianjin. Clinical Oncology and Cancer Research. 38(1). 24–27. 1 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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