Fangxuan Li

1.8k total citations
55 papers, 1.3k citations indexed

About

Fangxuan Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Fangxuan Li has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Oncology. Recurrent topics in Fangxuan Li's work include Cancer-related molecular mechanisms research (9 papers), Gastric Cancer Management and Outcomes (9 papers) and Metastasis and carcinoma case studies (8 papers). Fangxuan Li is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), Gastric Cancer Management and Outcomes (9 papers) and Metastasis and carcinoma case studies (8 papers). Fangxuan Li collaborates with scholars based in China, United States and Japan. Fangxuan Li's co-authors include Juntian Liu, Shixia Li, Rupeng Zhang, Lijuan Wei, Zhao Yang, Xiubao Ren, Wengui Xu, Zhiyong Yuan, Yao Sun and Jichuan Quan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Controlled Release.

In The Last Decade

Fangxuan Li

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangxuan Li China 23 535 423 404 326 276 55 1.3k
Jen‐Yu Hung Taiwan 18 788 1.5× 439 1.0× 570 1.4× 363 1.1× 276 1.0× 46 1.4k
Mauricio S. Caetano United States 18 506 0.9× 627 1.5× 321 0.8× 307 0.9× 637 2.3× 24 1.4k
Michael J. Cavnar United States 17 216 0.4× 502 1.2× 109 0.3× 326 1.0× 426 1.5× 52 1.2k
Wuzhen Chen China 19 602 1.1× 396 0.9× 421 1.0× 173 0.5× 372 1.3× 37 1.3k
Chien‐Huan Weng United States 7 313 0.6× 424 1.0× 117 0.3× 132 0.4× 483 1.8× 9 1.0k
Fokhrul Hossain United States 15 658 1.2× 513 1.2× 549 1.4× 183 0.6× 717 2.6× 22 1.7k
Fabien Franco Switzerland 12 659 1.2× 738 1.7× 520 1.3× 148 0.5× 1.1k 4.0× 14 1.9k
Wentao Zhang China 21 629 1.2× 271 0.6× 430 1.1× 271 0.8× 132 0.5× 81 1.2k
Josephine A. Ratikan United States 11 374 0.7× 641 1.5× 149 0.4× 316 1.0× 406 1.5× 16 1.3k
Yijun Wang China 17 509 1.0× 223 0.5× 295 0.7× 131 0.4× 186 0.7× 32 894

Countries citing papers authored by Fangxuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Fangxuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangxuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fangxuan Li. A scholar is included among the top collaborators of Fangxuan Li 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 Fangxuan Li. Fangxuan Li 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.
Guo, Fengli, et al.. (2024). Time Kinetics and prognosis roles of calcitonin after surgery for medullary thyroid carcinoma. World Journal of Surgical Oncology. 22(1). 121–121.
2.
Li, Fangxuan, et al.. (2024). Biomarkers of lipid metabolism in gastric cancer: a case control study. BMC Cancer. 24(1). 455–455. 4 indexed citations
3.
Yu, Haiyuan, et al.. (2024). Machine learning model for early prediction of survival in gallbladder adenocarcinoma: A comparison study. SLAS TECHNOLOGY. 29(6). 100220–100220.
4.
Li, Menghui, Lijuan Wei, Fangxuan Li, et al.. (2021). High Risk Thyroid Nodule Discrimination and Management by Modified TI-RADS. Cancer Management and Research. Volume 13. 225–234. 1 indexed citations
5.
Chen, Ying, Fangxuan Li, Dan Li, Wenxin Liu, & Lei Zhang. (2021). Atezolizumab and blockade of LncRNA PVT1 attenuate cisplatin resistant ovarian cancer cells progression synergistically via JAK2/STAT3/PD-L1 pathway. Clinical Immunology. 227. 108728–108728. 29 indexed citations
6.
Mao, Yiran, et al.. (2020). The diagnostic value of Superb Microvascular Imaging in identifying benign tumors of parotid gland. BMC Medical Imaging. 20(1). 107–107. 12 indexed citations
7.
Li, Fangxuan, et al.. (2019). CD4/CD8 + T cells, DC subsets, Foxp3, and IDO expression are predictive indictors of gastric cancer prognosis. Cancer Medicine. 8(17). 7330–7344. 101 indexed citations
8.
Li, Fangxuan, et al.. (2019). Multivariate analysis of clinicopathological and prognostic significance of miRNA 106b~25 cluster in gastric cancer. Cancer Cell International. 19(1). 200–200. 5 indexed citations
9.
Li, Lijuan, et al.. (2019). Clinicopathologic and molecular characteristics of 44 patients with pure secretory breast carcinoma. Cancer Biology and Medicine. 16(1). 139–139. 19 indexed citations
10.
11.
Zhang, Xiaobei, Fangxuan Li, Ying Zheng, et al.. (2019). Propofol Reduced Mammosphere Formation of Breast Cancer Stem Cells via PD-L1/Nanog In Vitro. Oxidative Medicine and Cellular Longevity. 2019. 1–9. 23 indexed citations
12.
Liang, Xiaofeng, et al.. (2018). Ultrasound features of extranodal extension in the metastatic cervical lymph nodes of papillary thyroid cancer: a case-control study. Cancer Biology and Medicine. 15(2). 171–171. 7 indexed citations
13.
Li, Fangxuan, Hui Du, Shixia Li, & Juntian Liu. (2018). The Association Between Metabolic Syndrome and Gastric Cancer in Chinese. Frontiers in Oncology. 8. 326–326. 51 indexed citations
14.
Li, Fangxuan, et al.. (2017). The significance of elevated plasma expression of microRNA 106b~25 clusters in gastric cancer. PLoS ONE. 12(5). e0178427–e0178427. 22 indexed citations
15.
Li, Fangxuan, Rupeng Zhang, Shixia Li, & Juntian Liu. (2017). IDO1: An important immunotherapy target in cancer treatment. International Immunopharmacology. 47. 70–77. 119 indexed citations
16.
Li, Fangxuan, Shixia Li, Hui Li, et al.. (2014). The subsets of dendritic cells and memory T cells correspond to indoleamine 2,3-dioxygenase in stomach tumor microenvironment. Tumor Biology. 35(9). 8691–8698. 15 indexed citations
17.
Wang, Hailing, et al.. (2013). Ultrasound-guided core needle biopsy in diagnosis of abdominal and pelvic neoplasm in pediatric patients. Pediatric Surgery International. 30(1). 31–37. 17 indexed citations
18.
Wang, Li, Han Liang, Xiaona Wang, et al.. (2012). Risk factors for metastasis to para-aortic lymph nodes in gastric cancer: A single institution study in China. Journal of Surgical Research. 179(1). 54–59. 7 indexed citations
19.
Li, Fangxuan, et al.. (2012). The pattern and risk factors of recurrence of proximal gastric cancer after curative resection. Journal of Surgical Oncology. 107(2). 130–135. 31 indexed citations
20.
Li, Fangxuan, Rupeng Zhang, Han Liang, et al.. (2011). The pattern of lymph node metastasis and the suitability of 7th UICC N stage in predicting prognosis of remnant gastric cancer. Journal of Cancer Research and Clinical Oncology. 138(1). 111–117. 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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