Xiaodan Fu

423 total citations
30 papers, 202 citations indexed

About

Xiaodan Fu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Xiaodan Fu has authored 30 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Cancer Research. Recurrent topics in Xiaodan Fu's work include Cancer-related molecular mechanisms research (6 papers), Ferroptosis and cancer prognosis (5 papers) and RNA modifications and cancer (5 papers). Xiaodan Fu is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Ferroptosis and cancer prognosis (5 papers) and RNA modifications and cancer (5 papers). Xiaodan Fu collaborates with scholars based in China, United States and United Kingdom. Xiaodan Fu's co-authors include Yimin Li, Qihui Wu, Jiaxin Liu, Ruotong Tian, Weilu Kuang, Chunlin Ou, Wei Guo, Juanni Li, Yulong Peng and Yongbin Hu and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

In The Last Decade

Xiaodan Fu

28 papers receiving 198 citations

Peers

Xiaodan Fu
Yi Qu China
Xiaodan Fu
Citations per year, relative to Xiaodan Fu Xiaodan Fu (= 1×) peers Yi Qu

Countries citing papers authored by Xiaodan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodan Fu. A scholar is included among the top collaborators of Xiaodan Fu 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 Xiaodan Fu. Xiaodan Fu 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.
Zheng, Zhen-Ya, Chunyan Jiang, Fang-Ting Yuan, et al.. (2025). Discovery of Local Analogs to JWST’s Little Red Dots. The Astrophysical Journal Letters. 980(2). L34–L34. 6 indexed citations
3.
Wang, Yan, Qihui Wu, Jiaxin Liu, et al.. (2024). WDR77 in Pan-Cancer: Revealing expression patterns, genetic insights, and functional roles across diverse tumor types, with a spotlight on colorectal cancer. Translational Oncology. 49. 102089–102089. 2 indexed citations
4.
Fu, Xiaodan, et al.. (2024). Two cases of mixed large cell neuroendocrine carcinoma and adenocarcinoma of the cervix: case report and review of the literature. Diagnostic Pathology. 19(1). 166–166. 2 indexed citations
5.
Zheng, Zhen-Ya, Fang-Ting Yuan, Junxian Wang, et al.. (2024). Intermediate-mass black holes in Green pea galaxies (IMBH-GP) I: A candidate sample from LAMOST and SDSS. Science China Physics Mechanics and Astronomy. 67(10). 2 indexed citations
7.
Jiang, Rui, Juan Hu, Yang Jiao, et al.. (2024). A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas. Nature Machine Intelligence. 6(8). 876–891. 19 indexed citations
8.
Wu, Qihui, Xiaodan Fu, Xiaoyun He, et al.. (2023). Experimental prognostic model integrating N6-methyladenosine-related programmed cell death genes in colorectal cancer. iScience. 27(1). 108720–108720. 3 indexed citations
9.
Wu, Qihui, Xiaoyun He, Jiaxin Liu, et al.. (2023). Integrative evaluation and experimental validation of the immune-modulating potential of dysregulated extracellular matrix genes in high-grade serous ovarian cancer prognosis. Cancer Cell International. 23(1). 223–223. 2 indexed citations
10.
Wu, Qihui, Ruotong Tian, Jiaxin Liu, et al.. (2023). Deciphering comprehensive features of tumor microenvironment controlled by chromatin regulators to predict prognosis and guide therapies in uterine corpus endometrial carcinoma. Frontiers in Immunology. 14. 1139126–1139126. 5 indexed citations
11.
Wu, Qihui, Ruotong Tian, Xiaoyun He, et al.. (2023). Machine learning-based integration develops an immune-related risk model for predicting prognosis of high-grade serous ovarian cancer and providing therapeutic strategies. Frontiers in Immunology. 14. 1164408–1164408. 5 indexed citations
12.
Li, Yimin, Ruotong Tian, Jiaxin Liu, et al.. (2022). A 13-Gene Signature Based on Estrogen Response Pathway for Predicting Survival and Immune Responses of Patients With UCEC. Frontiers in Molecular Biosciences. 9. 833910–833910. 6 indexed citations
13.
Zhou, Jiayu, Qingling Li, Baihua Luo, et al.. (2022). Primary desmoplastic small round cell tumor of the submandibular gland: a case report and literature review. Diagnostic Pathology. 17(1). 6–6. 1 indexed citations
14.
Zhou, Jiayu, Qingling Li, Xiaodan Fu, et al.. (2022). Interdigitating dendritic cell sarcoma: analysis of two original extra-nodal cases and review of literature. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 481(1). 101–110. 1 indexed citations
15.
Wu, Qihui, Ruotong Tian, Hong Tan, et al.. (2022). A comprehensive analysis focusing on cuproptosis to investigate its clinical and biological relevance in uterine corpus endometrial carcinoma and its potential in indicating prognosis. Frontiers in Molecular Biosciences. 9. 1048356–1048356. 7 indexed citations
16.
Xu, Mingxi, Xu Zheng, Dongxia Wang, et al.. (2021). Blockage of C-X-C Motif Chemokine Receptor 2 (CXCR2) Suppressed Uric Acid (UA)-Induced Cardiac Remodeling. Frontiers in Physiology. 12. 700338–700338. 6 indexed citations
17.
Fu, Xiaodan, Nan Niu, Mingxi Xu, et al.. (2018). Blockage of macrophage migration inhibitory factor (MIF) suppressed uric acid-induced vascular inflammation, smooth muscle cell de-differentiation, and remodeling. Biochemical and Biophysical Research Communications. 508(2). 440–444. 13 indexed citations
18.
Yang, Li, et al.. (2017). Knockdown of cardiac Kir3.1 gene with siRNA can improve bradycardia in an experimental sinus bradycardia rat model. Molecular and Cellular Biochemistry. 429(1-2). 103–111. 5 indexed citations
19.
Chen, Zhenwei, et al.. (2015). [Significance of P504s in distinction between solid pseudopapillary tumor of pancreas and pancreatic neuroendocrine tumors].. PubMed. 44(5). 320–2. 4 indexed citations
20.
Yang, Ying, Qinyuan Zhu, Xiaodan Fu, et al.. (2015). Research on Susceptible Genes and Immunological Pathogenesis of Cutaneous Adverse Drug Reactions in Chinese Hans. Journal of Investigative Dermatology Symposium Proceedings. 17(1). 29–31. 12 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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