Jie Tan

1.2k total citations
23 papers, 742 citations indexed

About

Jie Tan is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Jie Tan has authored 23 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Genetics. Recurrent topics in Jie Tan's work include Bioinformatics and Genomic Networks (4 papers), Genomics and Phylogenetic Studies (4 papers) and Gene expression and cancer classification (3 papers). Jie Tan is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Genomics and Phylogenetic Studies (4 papers) and Gene expression and cancer classification (3 papers). Jie Tan collaborates with scholars based in United States, China and United Kingdom. Jie Tan's co-authors include Casey S. Greene, Chao Cheng, Matthew Ung, Jason H. Moore, Deborah A. Hogan, Jeffrey Thompson, John H. Hammond, Zhencheng Fang, Huaiqiu Zhu and Shu‐Fang Vivienne Wu and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Jie Tan

22 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jie Tan United States	11	498	117	93	67	66	23	742
Harald Vöhringer Germany	4	724 1.5×	140 1.2×	223 2.4×	188 2.8×	96 1.5×	5	1.2k
Michael R. Crusoe United Kingdom	9	443 0.9×	107 0.9×	46 0.5×	20 0.3×	34 0.5×	29	795
Bahrad A. Sokhansanj United States	15	529 1.1×	71 0.6×	36 0.4×	35 0.5×	214 3.2×	40	722
Nadav Brandes Israel	11	823 1.7×	84 0.7×	81 0.9×	36 0.5×	197 3.0×	17	1.1k
Graham Cameron United Kingdom	13	770 1.5×	85 0.7×	71 0.8×	42 0.6×	139 2.1×	22	981
Pieter Meysman Belgium	23	910 1.8×	45 0.4×	75 0.8×	66 1.0×	87 1.3×	80	1.5k
Kousuke Tashiro Japan	17	692 1.4×	78 0.7×	60 0.6×	61 0.9×	84 1.3×	29	1.0k

Countries citing papers authored by Jie Tan

Since Specialization

Citations

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

Fields of papers citing papers by Jie Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Tan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hu, Qingyi, et al.. (2025). GPX3 promotes cisplatin resistance in TNBC by manipulating ROS-TGFB1-ZEB2. Cell Communication and Signaling. 23(1). 355–355.

Chen, Rong, Benqi Wang, Shuping Huang, et al.. (2024). Genome-Wide Identification and Male Sterility-Related Expression Analysis of Papain-like Cysteine Protease Gene Family in Capsicum annuum. Horticulturae. 10(8). 892–892. 1 indexed citations

Tolonen, Andrew C., Nicholas Beauchemin, Lingyao Li, et al.. (2022). Synthetic glycans control gut microbiome structure and mitigate colitis in mice. Nature Communications. 13(1). 1244–1244. 46 indexed citations

Zhou, Jun, Ming Xu, Jie Tan, et al.. (2022). MMP1 acts as a potential regulator of tumor progression and dedifferentiation in papillary thyroid cancer. Frontiers in Oncology. 12. 1030590–1030590. 6 indexed citations

Guo, Qian, Mo Li, Chunhui Wang, et al.. (2021). Predicting hosts based on early SARS-CoV-2 samples and analyzing the 2020 pandemic. Scientific Reports. 11(1). 17422–17422. 8 indexed citations

Zhang, Hongyuan, Min Zhang, Jie Tan, et al.. (2021). Transcriptome based high-throughput SSRs and SNPs discovery in the medicinal plant Lagenaria siceraria. Biocell. 45(2). 371–386. 3 indexed citations

Fang, Zhencheng, Jie Tan, Shu‐Fang Vivienne Wu, et al.. (2020). PlasGUN: gene prediction in plasmid metagenomic short reads using deep learning. Bioinformatics. 36(10). 3239–3241. 9 indexed citations

Tan, Jie, Jonathan W. Leff, Brandon Brooks, et al.. (2020). High-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans. Genome Medicine. 12(1). 59–59. 14 indexed citations

Li, Huijuan, et al.. (2020). Cellular processes involved in lung cancer cells exposed to direct current electric field. Scientific Reports. 10(1). 5289–5289. 2 indexed citations

10.

Fang, Zhencheng, Jie Tan, Shu‐Fang Vivienne Wu, et al.. (2019). PPR-Meta: a tool for identifying phages and plasmids from metagenomic fragments using deep learning. GigaScience. 8(6). 118 indexed citations

11.

Chen, Kathleen, et al.. (2018). PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia. BioData Mining. 11(1). 14–14. 9 indexed citations

12.

Tan, Jie, Kimberley A. Lewis, Courtney E. Price, et al.. (2017). Unsupervised Extraction of Stable Expression Signatures from Public Compendia with an Ensemble of Neural Networks. Cell Systems. 5(1). 63–71.e6. 65 indexed citations

13.

Tan, Jie, et al.. (2017). ADAGE signature analysis: differential expression analysis with data-defined gene sets. BMC Bioinformatics. 18(1). 512–512. 14 indexed citations

14.

Tan, Jie, John H. Hammond, Deborah A. Hogan, & Casey S. Greene. (2016). ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa Gene Expression Data with Denoising Autoencoders Illuminates Microbe-Host Interactions. mSystems. 1(1). 83 indexed citations

15.

Thompson, Jeffrey, Jie Tan, & Casey S. Greene. (2016). Cross-platform normalization of microarray and RNA-seq data for machine learning applications. PeerJ. 4. e1621–e1621. 65 indexed citations

16.

Ge, Jianlong, et al.. (2016). Characterization of the global transcriptome and microsatellite marker information for spotted halibut Verasper variegatus. Genes & Genomics. 39(3). 307–316. 7 indexed citations

17.

Tan, Jie, Matthew Ung, Chao Cheng, & Casey S. Greene. (2014). UNSUPERVISED FEATURE CONSTRUCTION AND KNOWLEDGE EXTRACTION FROM GENOME-WIDE ASSAYS OF BREAST CANCER WITH DENOISING AUTOENCODERS. PubMed. 132–143. 97 indexed citations

18.

Tan, Jie, Jason H. Moore, & Ryan J. Urbanowicz. (2013). Rapid Rule Compaction Strategies for Global Knowledge Discovery in a Supervised Learning Classifier System. 110–117. 1 indexed citations

19.

Tan, Jie, Jason H. Moore, & Ryan J. Urbanowicz. (2013). Rapid Rule Compaction Strategies for Global Knowledge Discovery in a Supervised Learning Classifier System. 110–117. 18 indexed citations

20.

Li, Ben‐Wen, et al.. (2004). Quantitative analysis of gender-regulated transcripts in the filarial nematode Brugia malayi by real-time RT-PCR. Molecular and Biochemical Parasitology. 137(2). 329–337. 42 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Harald Vöhringer Breakdown of academic impact, for papers by Michael R. Crusoe Breakdown of academic impact, for papers by Bahrad A. Sokhansanj Breakdown of academic impact, for papers by Nadav Brandes Breakdown of academic impact, for papers by Graham Cameron Breakdown of academic impact, for papers by Pieter Meysman Breakdown of academic impact, for papers by Kousuke Tashiro