Jiarui Xie

1.2k total citations
5 papers, 100 citations indexed

About

Jiarui Xie is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jiarui Xie has authored 5 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Jiarui Xie's work include Cancer Genomics and Diagnostics (2 papers), Single-cell and spatial transcriptomics (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Jiarui Xie is often cited by papers focused on Cancer Genomics and Diagnostics (2 papers), Single-cell and spatial transcriptomics (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Jiarui Xie collaborates with scholars based in China, Austria and Denmark. Jiarui Xie's co-authors include Shiping Liu, Liang Wu, Zhikun Zhao, Bo Li, Yong Hou, Xiaoyun Huang, Chunqing Wang, Sarah A. Teichmann, Naibo Yang and Miaomiao Jiang and has published in prestigious journals such as Genome biology, Frontiers in Oncology and iScience.

In The Last Decade

Jiarui Xie

4 papers receiving 99 citations

Peers

Jiarui Xie
Jiarui Xie
Citations per year, relative to Jiarui Xie Jiarui Xie (= 1×) peers Ekaterina Petrovich‐Kopitman

Countries citing papers authored by Jiarui Xie

Since Specialization
Citations

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

Fields of papers citing papers by Jiarui Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiarui Xie

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

All Works

5 of 5 papers shown
1.
Cao, Yudan, Hongwei Sun, Tianxiao Li, et al.. (2025). Validated nomograms for non-metastatic colorectal cancer prognosis prediction: a population-based study. Frontiers in Oncology. 15. 1691693–1691693.
2.
Lai, Yancheng, Jiarui Xie, Weiming Mou, et al.. (2025). Evaluating the potential risks of employing large language models in peer review. Clinical and Translational Discovery. 5(4). 1 indexed citations
3.
Wang, Shanshan, Jiarui Xie, Xuanxuan Zou, et al.. (2022). Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines. iScience. 25(3). 103857–103857. 19 indexed citations
4.
Wu, Liang, Miaomiao Jiang, Yun‐Fan Sun, et al.. (2021). scDPN for High-Throughput Single-Cell CNV Detection to Uncover Clonal Evolution During HCC Recurrence. Genomics Proteomics & Bioinformatics. 19(3). 346–357. 2 indexed citations
5.
Natarajan, Kedar Nath, Zhichao Miao, Miaomiao Jiang, et al.. (2019). Comparative analysis of sequencing technologies for single-cell transcriptomics. Genome biology. 20(1). 70–70. 78 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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