Yanfen Feng

721 total citations
39 papers, 429 citations indexed

About

Yanfen Feng is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yanfen Feng has authored 39 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 14 papers in Pathology and Forensic Medicine and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yanfen Feng's work include Lymphoma Diagnosis and Treatment (12 papers), Viral-associated cancers and disorders (11 papers) and Esophageal Cancer Research and Treatment (5 papers). Yanfen Feng is often cited by papers focused on Lymphoma Diagnosis and Treatment (12 papers), Viral-associated cancers and disorders (11 papers) and Esophageal Cancer Research and Treatment (5 papers). Yanfen Feng collaborates with scholars based in China, United States and Hong Kong. Yanfen Feng's co-authors include Fang Wang, Yiyan Lei, Yuhua Huang, Hui‐Lan Rao, Honghe Luo, Haiyun Wang, Qiong Shao, Yu Zhang, Xiaoyan Wu and Xin An and has published in prestigious journals such as International Journal of Cancer, Frontiers in Immunology and BMC Bioinformatics.

In The Last Decade

Yanfen Feng

37 papers receiving 421 citations

Peers

Yanfen Feng

ONCOL

PFM

PRM

Mee‐Hye Oh South Korea

Kartik Viswanathan United States

Lenka Krsková Czechia

Chiara Catania Italy

Camille Evrard France

Zhengyin Liao China

Audrey Gros France

N J Agnantis Greece

Anja Foerster Switzerland

Zhaofei Pang China

Mee‐Hye Oh South Korea

Yanfen Feng

154 ×0.8

ONCOL

222 ×1.7

77 ×0.7

PFM

146 ×1.7

PRM

82 ×1.0

Citations per year, relative to Yanfen Feng Yanfen Feng (= 1×) peers Mee‐Hye Oh

Countries citing papers authored by Yanfen Feng

Since Specialization

Citations

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

Fields of papers citing papers by Yanfen Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanfen Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yanfen Feng. A scholar is included among the top collaborators of Yanfen Feng 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 Yanfen Feng. Yanfen Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Wei, et al.. (2024). Exploring the relationship between the interleukin family and lung adenocarcinoma through Mendelian randomization and RNA sequencing analysis. Discover Oncology. 15(1). 436–436.

Feng, Yanfen, et al.. (2024). Formation and endogenous feedback mechanism of farmers’ bioenergy feedstocks planting decisions. Environmental Development. 53. 101107–101107. 1 indexed citations

Feng, Yanfen, et al.. (2023). Macrophage migration inhibitory factor may contribute to the occurrence of multiple primary lung adenocarcinomas. Clinical and Translational Medicine. 13(10). e1368–e1368. 4 indexed citations

Zheng, Shaoyi, et al.. (2023). Hypothyroidism reduces the risk of lung cancer through oxidative stress response and the PI3K/Akt signaling pathway: An RNA-seq and Mendelian randomization study. Heliyon. 9(12). e22661–e22661. 4 indexed citations

Wang, Xiaoxiao, Lei Wen, Jing Liao, et al.. (2023). First‐line immunotherapy with anti‐PD‐1 antibody for extranodal NK/T‐cell lymphoma: A retrospective study. British Journal of Haematology. 202(4). 812–824. 4 indexed citations

Feng, Yanfen, et al.. (2023). Clinical characteristics, prognostic factors, and treatment modalities for head and neck lymphoepithelioma-like carcinoma: A real-world study from southern China. Radiotherapy and Oncology. 187. 109814–109814. 4 indexed citations

Wang, Xiaoxiao, Wenru Su, Yan Gao, et al.. (2022). A pilot study of the use of dynamic analysis of cell-free DNA from aqueous humor and vitreous fluid for the diagnosis and treatment monitoring of vitreoretinal lymphomas. Haematologica. 107(9). 2154–2162. 17 indexed citations

Luo, Wei‐Jie, Yanfen Feng, Fang Liu, et al.. (2022). Expression Profiles and Prognostic Value of Multiple Inhibitory Checkpoints in Head and Neck Lymphoepithelioma-Like Carcinoma. Frontiers in Immunology. 13. 818411–818411. 6 indexed citations

Sun, Chengtao, Mengzhen Li, Feifei Sun, et al.. (2022). IDO1 plays a tumor-promoting role via MDM2-mediated suppression of the p53 pathway in diffuse large B-cell lymphoma. Cell Death and Disease. 13(6). 572–572. 18 indexed citations

10.

Sun, Chengtao, Mengzhen Li, Yanfen Feng, et al.. (2020). <p>MDM2-P53 Signaling Pathway-Mediated Upregulation of CDC20 Promotes Progression of Human Diffuse Large B-Cell Lymphoma</p>. OncoTargets and Therapy. Volume 13. 10475–10487. 13 indexed citations

11.

Feng, Yanfen, Shumei Yan, Yuhua Huang, et al.. (2020). High expression of RABL6 promotes cell proliferation and predicts poor prognosis in esophageal squamous cell carcinoma. BMC Cancer. 20(1). 602–602. 8 indexed citations

12.

Luo, Wei‐Jie, Yanfen Feng, Rui Guo, et al.. (2019). Patterns of EBV-positive cervical lymph node involvement in head and neck cancer and implications for the management of nasopharyngeal carcinoma T0 classification. Oral Oncology. 91. 7–12. 16 indexed citations

13.

Wang, Fang, Jiabin Lu, Xiaoyan Wu, et al.. (2019). <p>Clinical genetic features and related survival implications in patients with surgically resected large-cell lung cancer</p>. Cancer Management and Research. Volume 11. 5489–5499. 4 indexed citations

14.

Zeng, Bo, Xin Zhang, Jingling Zhao, et al.. (2019). The role of DNMT1/hsa-miR-124-3p/BCAT1 pathway in regulating growth and invasion of esophageal squamous cell carcinoma. BMC Cancer. 19(1). 609–609. 40 indexed citations

15.

Zhou, Sha, Shiliang Liu, Li Zhang, et al.. (2018). Recurrence Risk Based on Pathologic Stage After Neoadjuvant Chemoradiotherapy in Esophageal Squamous Cell Carcinoma: Implications for Risk-Based Postoperative Surveillance Strategies. Annals of Surgical Oncology. 25(12). 3639–3646. 13 indexed citations

16.

Huang, Yuhua, et al.. (2018). Clinicopathological features and EBV infection status of lymphoma in children and adolescents in South China: a retrospective study of 662 cases. Diagnostic Pathology. 13(1). 17–17. 11 indexed citations

17.

Feng, Yanfen, Hui‐Lan Rao, Yiyan Lei, et al.. (2017). CD30 expression in extranodal natural killer/T-cell lymphoma, nasal type among 622 cases of mature T-cell and natural killer-cell lymphoma at a single institution in South China. Chinese Journal of Cancer. 36(1). 43–43. 28 indexed citations

18.

Huang, Yuhua, Hui‐Lan Rao, Shumei Yan, et al.. (2017). Serum EBV EA-IgA and VCA-IgA antibodies can be used for risk group stratification and prognostic prediction in extranodal NK/T cell lymphoma: 24-year experience at a single institution. Annals of Hematology. 96(8). 1331–1342. 12 indexed citations

19.

Feng, Yanfen, Yiyan Lei, Xiaoyan Wu, et al.. (2017). GTF2I mutation frequently occurs in more indolent thymic epithelial tumors and predicts better prognosis. Lung Cancer. 110. 48–52. 31 indexed citations

20.

Feng, Yanfen, Jia Fu, Shumei Yan, et al.. (2014). [Analysis of mature T-cell and NK-cell lymphoma with CD30 expression based on latest WHO classification].. PubMed. 43(8). 508–11. 2 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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