Xiujing He

2.1k total citations · 1 hit paper
31 papers, 782 citations indexed

About

Xiujing He is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, Xiujing He has authored 31 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Plant Science. Recurrent topics in Xiujing He's work include Cancer Immunotherapy and Biomarkers (6 papers), Plant Molecular Biology Research (5 papers) and Plant Gene Expression Analysis (3 papers). Xiujing He is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Plant Molecular Biology Research (5 papers) and Plant Gene Expression Analysis (3 papers). Xiujing He collaborates with scholars based in China, United States and Ethiopia. Xiujing He's co-authors include Jing Jing, Hubing Shi, Xiaowei Liu, Guangtang Pan, Haijian Lin, Yaou Shen, Hao Zhang, Meihui Su, Wenhao Zhai and Haoliang Chen and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and PLoS ONE.

In The Last Decade

Xiujing He

29 papers receiving 766 citations

Hit Papers

Artificial intelligence-based multi-omics analysis fuels ... 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
    2022 202 citations Xiujing He, Xiaowei Liu et al. Seminars in Cancer Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiujing He China 15 297 236 112 105 99 31 782
Wen‐Ming Cao China 18 522 1.8× 97 0.4× 263 2.3× 235 2.2× 126 1.3× 75 1.0k
Sun A Kim South Korea 14 294 1.0× 164 0.7× 83 0.7× 171 1.6× 60 0.6× 21 693
Junhao Wang China 15 288 1.0× 92 0.4× 73 0.7× 37 0.4× 41 0.4× 65 555
Muntasir Mamun Majumder Finland 17 597 2.0× 84 0.4× 121 1.1× 205 2.0× 57 0.6× 33 985
Rebecca Kirk Austria 9 391 1.3× 75 0.3× 89 0.8× 247 2.4× 60 0.6× 68 831
Elahe Safari Iran 10 419 1.4× 36 0.2× 233 2.1× 284 2.7× 139 1.4× 35 887
Qingjiao Li China 14 773 2.6× 95 0.4× 391 3.5× 88 0.8× 80 0.8× 30 1.0k

Countries citing papers authored by Xiujing He

Since Specialization
Citations

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

Fields of papers citing papers by Xiujing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiujing He

This figure shows the co-authorship network connecting the top 25 collaborators of Xiujing He. A scholar is included among the top collaborators of Xiujing He 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 Xiujing He. Xiujing He 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.
Xu, Zihan, Xiujing He, Yu Gui, et al.. (2025). Intrapleural pressure-controlled piezo-catalytic nanozyme for the inhibition of malignant pleural effusion. Nature Communications. 16(1). 3194–3194. 2 indexed citations
2.
Yu, Jing, Xiujing He, Xueyan Wang, et al.. (2025). Transcriptome-wide decoding the roles of aberrant splicing in melanoma MAPK-targeted resistance evolution. EMBO Reports. 26(16). 4180–4196.
3.
Zhou, Yao, Xiaowei Liu, Genpeng Li, et al.. (2025). Galectin-9-driven immunosuppressive macrophage population shapes the lymph node metastatic microenvironment. British Journal of Cancer. 134(1). 45–59.
4.
Wang, Xiaoli, et al.. (2024). Immune pathogenesis of idiopathic granulomatous mastitis: from etiology toward therapeutic approaches. Frontiers in Immunology. 15. 1295759–1295759. 14 indexed citations
5.
He, Xiujing, et al.. (2023). Overview of Artificial Intelligence in Breast Cancer Medical Imaging. Journal of Clinical Medicine. 12(2). 419–419. 45 indexed citations
6.
Gui, Yu, Xiujing He, Jing Yu, & Jing Jing. (2023). Artificial Intelligence-Assisted Transcriptomic Analysis to Advance Cancer Immunotherapy. Journal of Clinical Medicine. 12(4). 1279–1279. 11 indexed citations
7.
Wang, Xueyan, et al.. (2023). Application of artificial intelligence to the public health education. Frontiers in Public Health. 10. 1087174–1087174. 19 indexed citations
8.
Du, Peixin, Jing Jing, & Xiujing He. (2022). Microbiota and their metabolites potentiate cancer immunotherapy: Therapeutic target or resource for small molecule drug discovery?. Frontiers in Pharmacology. 13. 1091124–1091124. 5 indexed citations
9.
He, Xiujing, et al.. (2022). Single-Cell Metabolomics in Hematopoiesis and Hematological Malignancies. Frontiers in Oncology. 12. 931393–931393. 9 indexed citations
10.
Jin, Jingjing, Naohiko Ohama, Xiujing He, Hui‐Wen Wu, & Nam‐Hai Chua. (2022). Tissue-specific transcriptomic analysis uncovers potential roles of natural antisense transcripts in Arabidopsis heat stress response. Frontiers in Plant Science. 13. 997967–997967. 10 indexed citations
11.
Zheng, Xiaobo, Jinen Song, Chune Yu, et al.. (2022). Single-cell transcriptomic profiling unravels the adenoma-initiation role of protein tyrosine kinases during colorectal tumorigenesis. Signal Transduction and Targeted Therapy. 7(1). 60–60. 47 indexed citations
12.
He, Xiujing, et al.. (2022). Artificial intelligence-based multi-omics analysis fuels cancer precision medicine. Seminars in Cancer Biology. 88. 187–200. 202 indexed citations breakdown →
13.
Xu, Yufei, et al.. (2022). The current landscape of predictive and prognostic biomarkers for immune checkpoint blockade in ovarian cancer. Frontiers in Immunology. 13. 1045957–1045957. 12 indexed citations
14.
Xu, Guangchao, Ya Luo, Wenshuang Wu, et al.. (2021). The Evolution of Acquired Resistance to BRAFV600E kinase inhibitor Is Sustained by IGF1-Driven Tumor Vascular Remodeling. Journal of Investigative Dermatology. 142(2). 445–458. 15 indexed citations
15.
He, Xiujing, Jing Yu, & Hubing Shi. (2021). Pan-Cancer Analysis Reveals Alternative Splicing Characteristics Associated With Immune-Related Adverse Events Elicited by Checkpoint Immunotherapy. Frontiers in Pharmacology. 12. 797852–797852. 9 indexed citations
16.
He, Xiujing, Ting Luo, Xiaorong Zhong, et al.. (2021). Long Non-coding RNA BTG3-7:1 and JUND Co-regulate C21ORF91 to Promote Triple-Negative Breast Cancer Progress. Frontiers in Molecular Biosciences. 7. 605623–605623. 7 indexed citations
17.
Yang, Jiqiao, Xiujing He, Qing Lv, Jing Jing, & Hubing Shi. (2019). Management of Adverse Events in Cancer Patients Treated With PD-1/PD-L1 Blockade: Focus on Asian Populations. Frontiers in Pharmacology. 10. 726–726. 21 indexed citations
18.
Huang, Yifei, Zimeng Wang, Lei Wang, et al.. (2016). TLR2 promotes macrophage recruitment and Streptococcus pneumoniae clearance during mouse otitis media. Pediatric Research. 80(6). 886–893. 19 indexed citations
19.
He, Xiujing, Haixia Ma, Yuhua Li, et al.. (2016). Comparative RNA-Seq Analysis Reveals That Regulatory Network of Maize Root Development Controls the Expression of Genes in Response to N Stress. PLoS ONE. 11(3). e0151697–e0151697. 30 indexed citations
20.
Peng, Hua, Xiujing He, Jian Gao, et al.. (2015). Transcriptomic changes during maize roots development responsive to Cadmium (Cd) pollution using comparative RNAseq-based approach. Biochemical and Biophysical Research Communications. 464(4). 1040–1047. 38 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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