Yuefen Pan

443 total citations
22 papers, 281 citations indexed

About

Yuefen Pan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Yuefen Pan has authored 22 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Yuefen Pan's work include Gut microbiota and health (6 papers), Cancer-related molecular mechanisms research (5 papers) and Ferroptosis and cancer prognosis (4 papers). Yuefen Pan is often cited by papers focused on Gut microbiota and health (6 papers), Cancer-related molecular mechanisms research (5 papers) and Ferroptosis and cancer prognosis (4 papers). Yuefen Pan collaborates with scholars based in China, Ethiopia and France. Yuefen Pan's co-authors include Shuwen Han, Qi Quan, Zhuang Jing, Wei Wu, Xi Yang, Yang Xi, Junjun Shen, Da Miao, Liping Zhong and Yuhai Gao and has published in prestigious journals such as Frontiers in Immunology, Frontiers in Microbiology and Medicine.

In The Last Decade

Yuefen Pan

21 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuefen Pan China	12	161	98	70	59	31	22	281
Xiaogang Sun China	10	180 1.1×	112 1.1×	95 1.4×	46 0.8×	37 1.2×	14	376
Marwa Mohanad Egypt	11	132 0.8×	110 1.1×	98 1.4×	40 0.7×	38 1.2×	26	313
Liyuan Hao China	11	170 1.1×	67 0.7×	57 0.8×	45 0.8×	22 0.7×	41	327
Chi‐Tan Hu Taiwan	9	135 0.8×	109 1.1×	53 0.8×	73 1.2×	61 2.0×	20	321
Yanya Lin China	3	128 0.8×	208 2.1×	81 1.2×	48 0.8×	46 1.5×	7	349
Jun Qian China	10	214 1.3×	55 0.6×	88 1.3×	39 0.7×	23 0.7×	21	336
Emmanuelle Ruiz United States	10	127 0.8×	51 0.5×	56 0.8×	45 0.8×	31 1.0×	22	272

Countries citing papers authored by Yuefen Pan

Since Specialization

Citations

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

Fields of papers citing papers by Yuefen Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuefen Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuefen Pan. A scholar is included among the top collaborators of Yuefen Pan 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 Yuefen Pan. Yuefen Pan 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

Chu, Jian, et al.. (2024). Deep learning application in prediction of cancer molecular alterations based on pathological images: a bibliographic analysis via CiteSpace. Journal of Cancer Research and Clinical Oncology. 150(10). 467–467. 2 indexed citations

Quan, Qi, et al.. (2024). Recent trends: Retractions of articles in the oncology field. Heliyon. 10(12). e33007–e33007. 4 indexed citations

Fang, Yong, Da Li, Yuefen Pan, et al.. (2024). Tislelizumab combined with GT chemotherapy for intimal sarcoma of inferior vena cava: A case report. Medicine. 103(21). e38056–e38056. 1 indexed citations

Chu, Jian, et al.. (2023). Colorectal cancer and gut viruses: a visualized analysis based on CiteSpace knowledge graph. Frontiers in Microbiology. 14. 1239818–1239818. 4 indexed citations

Han, Shuwen, Zhuang Jing, Yuefen Pan, Wei Wu, & Kefeng Ding. (2022). Different Characteristics in Gut Microbiome between Advanced Adenoma Patients and Colorectal Cancer Patients by Metagenomic Analysis. Microbiology Spectrum. 10(6). e0159322–e0159322. 20 indexed citations

Wang, Da, et al.. (2022). Immune-Related Biomarkers Associated with Lung Metastasis from the Colorectal Cancer Microenvironment. Journal of Interferon & Cytokine Research. 42(5). 220–234.

Zhang, Yan, Lijuan Yin, Wu Yinhang, et al.. (2022). Screening and analysis of RNAs associated with activated memory CD4 and CD8 T cells in liver cancer. World Journal of Surgical Oncology. 20(1). 2–2. 13 indexed citations

Shen, Junjun, et al.. (2022). Prognostic model based on six PD-1 expression and immune infiltration-associated genes predicts survival in breast cancer. Breast Cancer. 29(4). 666–676. 8 indexed citations

Yang, Xi, Qi Quan, Yuefen Pan, et al.. (2021). Single-Cell Analysis Reveals Characterization of Infiltrating T Cells in Moderately Differentiated Colorectal Cancer. Frontiers in Immunology. 11. 620196–620196. 15 indexed citations

10.

Zhong, Liping, Yuefen Pan, & Junjun Shen. (2021). FBXW7 inhibits invasion, migration and angiogenesis in ovarian cancer cells by suppressing VEGF expression through inactivation of β‑catenin signaling. Experimental and Therapeutic Medicine. 21(5). 514–514. 11 indexed citations

11.

Pan, Yuefen, Xi Yang, Liping Zhong, et al.. (2020). Screening of T Cell‐Related Long Noncoding RNA‐MicroRNA‐mRNA Regulatory Networks in Non‐Small‐Cell Lung Cancer. BioMed Research International. 2020(1). 5816763–5816763. 6 indexed citations

12.

Xi, Yang, et al.. (2020). Immune-related genes in tumor-specific CD4+ and CD8+ T cells in colon cancer. BMC Cancer. 20(1). 585–585. 26 indexed citations

13.

Tu, Xiaoxuan, Xiangying Zhang, Shuwen Han, et al.. (2020). Nutrition and metabolism status alteration in advanced hepatocellular carcinoma patients treated with anti-PD-1 immunotherapy. Supportive Care in Cancer. 28(11). 5569–5579. 20 indexed citations

14.

Zuo, Fei, Lijuan Yin, Zhuang Jing, et al.. (2020). Molecular characteristics associated with ferroptosis in hepatocellular carcinoma progression. Human Cell. 34(1). 177–186. 21 indexed citations

15.

Han, Shuwen, et al.. (2020). Effects of postoperative adjuvant chemotherapy and palliative chemotherapy on the gut microbiome in colorectal cancer. Microbial Pathogenesis. 149. 104343–104343. 21 indexed citations

16.

Han, Shuwen, Yang Xi, Qi Quan, et al.. (2019). Relationship Between Intestinal Microorganisms and T Lymphocytes In Colorectal Cancer. Future Oncology. 15(14). 1655–1666. 9 indexed citations

17.

Yang, Xi, Yuefen Pan, Wei Wu, et al.. (2019). Analysis of prognosis, genome, microbiome, and microbial metabolome in different sites of colorectal cancer. Journal of Translational Medicine. 17(1). 353–353. 33 indexed citations

18.

Han, Shuwen, Yuefen Pan, Yang Xi, et al.. (2018). Intestinal microorganisms involved in colorectal cancer complicated with dyslipidosis. Cancer Biology & Therapy. 20(1). 81–89. 36 indexed citations

19.

Han, Shuwen, et al.. (2017). L-securinine inhibits the proliferation of A549 lung cancer cells and promotes DKK1 promoter methylation. Oncology Letters. 14(4). 4243–4248. 15 indexed citations

20.

Han, Shuwen, Xi Yang, & Yuefen Pan. (2017). Can Mitochondria DNA Provide a Novel Biomarker for Evaluating the Risk and Prognosis of Colorectal Cancer?. Disease Markers. 2017. 1–9. 13 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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