Jue Fan

4.2k total citations
37 papers, 903 citations indexed

About

Jue Fan is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jue Fan has authored 37 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jue Fan's work include Single-cell and spatial transcriptomics (5 papers), Protein Structure and Dynamics (5 papers) and Cancer Genomics and Diagnostics (3 papers). Jue Fan is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Protein Structure and Dynamics (5 papers) and Cancer Genomics and Diagnostics (3 papers). Jue Fan collaborates with scholars based in China, United States and Canada. Jue Fan's co-authors include Marco A. M. Prado, Vânia F. Prado, Shuanghong Huo, Mojie Duan, Changrong Xia, Ranran Peng, Guangyao Meng, Wei Zhu, Nan Fang and Shihua Wang and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Journal of Neuroscience.

In The Last Decade

Jue Fan

36 papers receiving 897 citations

Peers

Jue Fan
Yuan Liao China
Michael J. Ragusa United States
Arjun Ray India
Andrew G. Purkiss United Kingdom
Gang Zhi United States
Xuan Zhao China
Vishwajeeth Pagala United States
Jue Fan
Citations per year, relative to Jue Fan Jue Fan (= 1×) peers Yasuhiro Takenaka

Countries citing papers authored by Jue Fan

Since Specialization
Citations

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

Fields of papers citing papers by Jue Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jue Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Jue Fan. A scholar is included among the top collaborators of Jue Fan 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 Jue Fan. Jue Fan 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.
Li, Wenbing, Chengyang Zhang, Nan Fang, et al.. (2025). CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells. Nature Communications. 16(1). 4679–4679. 6 indexed citations
2.
Fan, Jue, Xiangrong Guo, Hui Hua, et al.. (2023). Rapid increases in BMI waist to height ratio during adolescence and subsequent neurobehavioral deficits. Obesity. 31(11). 2822–2833. 2 indexed citations
3.
Yu, Ting, Dongqing Xu, Jue Fan, et al.. (2023). Homework, sleep insufficiency and adolescent neurobehavioral problems: Shanghai Adolescent Cohort. Journal of Affective Disorders. 332. 273–282. 7 indexed citations
4.
Zhou, Fei, Haoyue Guo, Xiaolong Zhou, et al.. (2022). Immune checkpoint inhibitors plus chemotherapy in patients with locally advanced or metastatic pulmonary sarcomatoid carcinoma: a multicentric real-world study. Therapeutic Advances in Medical Oncology. 14. 4287548791–4287548791. 10 indexed citations
5.
Lin, Wei, Jue Fan, Longfei Hu, et al.. (2021). Single-cell analysis of angiotensin-converting enzyme II expression in human kidneys and bladders reveals a potential route of 2019 novel coronavirus infection. Chinese Medical Journal. 134(8). 935–943. 25 indexed citations
6.
Wu, Fengying, Xuefei Li, Chao Zhao, et al.. (2021). Patients With Short PFS to EGFR-TKIs Predicted Better Response to Subsequent Anti-PD-1/PD-L1 Based Immunotherapy in EGFR Common Mutation NSCLC. Frontiers in Oncology. 11. 639947–639947. 29 indexed citations
7.
Tu, Juchuanli, Lei Zhou, Mengxue Dong, et al.. (2021). Single-cell transcriptomics reveal the heterogeneity and dynamic of cancer stem-like cells during breast tumor progression. Cell Death and Disease. 12(11). 979–979. 25 indexed citations
8.
Wu, Fengying, Jue Fan, Jingwen Fang, et al.. (2020). Single Cell Sequencing: A New Dimension in Cancer Diagnosis and Treatment. Advances in experimental medicine and biology. 1255. 109–121. 4 indexed citations
9.
An, Geng, Xiaolong Wu, Ping Ping, et al.. (2020). Human obstructive (postvasectomy) and nonobstructive azoospermia – Insights from scRNA-Seq and transcriptome analysis. Genes & Diseases. 9(3). 766–776. 25 indexed citations
10.
Wu, Xiaolong, Longfei Hu, Xue Chen, et al.. (2020). Unraveling epigenomic abnormality in azoospermic human males by WGBS, RNA-Seq, and transcriptome profiling analyses. Journal of Assisted Reproduction and Genetics. 37(4). 789–802. 23 indexed citations
11.
Lackie, Rachel E., Abdul Razzaq, Sali M.K. Farhan, et al.. (2019). Modulation of hippocampal neuronal resilience during aging by the Hsp70/Hsp90 co‐chaperone STI1. Journal of Neurochemistry. 153(6). 727–758. 14 indexed citations
12.
Lin, Fan, Jue Fan, & Seung Y. Rhee. (2019). QTG-Finder: A Machine-Learning Based Algorithm To Prioritize Causal Genes of Quantitative Trait Loci in Arabidopsis and Rice. G3 Genes Genomes Genetics. 9(10). 3129–3138. 26 indexed citations
13.
Fan, Jue, et al.. (2018). An interpretable framework for clustering single-cell RNA-Seq datasets. BMC Bioinformatics. 19(1). 93–93. 33 indexed citations
14.
Bossi, Flavia, Jue Fan, Max W. Shen, et al.. (2017). Systematic discovery of novel eukaryotic transcriptional regulators using sequence homology independent prediction. BMC Genomics. 18(1). 480–480. 7 indexed citations
15.
Liu, Hanzhong, Minghai Li, Jue Fan, & Shuanghong Huo. (2016). Inherent structure versus geometric metric for state space discretization. Journal of Computational Chemistry. 37(14). 1251–1258. 2 indexed citations
16.
Ostapchenko, Valeriy G., Mónica S. Guzmán, Yu‐Feng Xie, et al.. (2015). The Transient Receptor Potential Melastatin 2 (TRPM2) Channel Contributes to β-Amyloid Oligomer-Related Neurotoxicity and Memory Impairment. Journal of Neuroscience. 35(45). 15157–15169. 114 indexed citations
17.
Fang, Yi, Youjun Feng, Tongjin Wu, et al.. (2013). Aflatoxin B1 Negatively Regulates Wnt/β-Catenin Signaling Pathway through Activating miR-33a. PLoS ONE. 8(8). e73004–e73004. 58 indexed citations
18.
Yang, Chi, Jue Fan, Zhenhong Zhuang, et al.. (2013). The role of NAD+-dependent isocitrate dehydrogenase 3 subunit α in AFB1 induced liver lesion. Toxicology Letters. 224(3). 371–379. 8 indexed citations
19.
Kolisnyk, Benjamin, Jue Fan, Ana C. Magalhães, et al.. (2013). ChAT-ChR2-EYFP Mice Have Enhanced Motor Endurance But Show Deficits in Attention and Several Additional Cognitive Domains. Journal of Neuroscience. 33(25). 10427–10438. 98 indexed citations
20.
Shen, Enhui, Jue Fan, Ruizhen Chen, Siu‐Pok Yee, & Tianqing Peng. (2007). Phospholipase Cγ1 signalling regulates lipopolysaccharide-induced cyclooxygenase-2 expression in cardiomyocytes. Journal of Molecular and Cellular Cardiology. 43(3). 308–318. 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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