Haige Chen

2.4k total citations
83 papers, 1.6k citations indexed

About

Haige Chen is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Haige Chen has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Surgery, 21 papers in Molecular Biology and 19 papers in Oncology. Recurrent topics in Haige Chen's work include Bladder and Urothelial Cancer Treatments (43 papers), Urinary and Genital Oncology Studies (25 papers) and Indoor and Outdoor Localization Technologies (9 papers). Haige Chen is often cited by papers focused on Bladder and Urothelial Cancer Treatments (43 papers), Urinary and Genital Oncology Studies (25 papers) and Indoor and Outdoor Localization Technologies (9 papers). Haige Chen collaborates with scholars based in China, United States and Hong Kong. Haige Chen's co-authors include Yong Huang, Ming Cao, Ruiyun Zhang, Di Jin, Lei Xia, Feng Qiu, Liang Ying, Yonghui Chen, Yawei Wang and Yidong Liu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Haige Chen

77 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haige Chen China 24 672 441 398 283 241 83 1.6k
Peipei Xu China 24 800 1.2× 261 0.6× 222 0.6× 315 1.1× 339 1.4× 159 2.2k
Beihua Kong China 29 990 1.5× 525 1.2× 122 0.3× 334 1.2× 523 2.2× 99 2.3k
Min Luo China 26 1.0k 1.6× 449 1.0× 247 0.6× 278 1.0× 606 2.5× 116 2.3k
Jié He China 21 1.2k 1.7× 431 1.0× 145 0.4× 326 1.2× 261 1.1× 72 2.2k
Bin Wu China 23 720 1.1× 604 1.4× 331 0.8× 491 1.7× 226 0.9× 106 2.2k
Jingnan Wang China 28 1.1k 1.7× 709 1.6× 224 0.6× 307 1.1× 605 2.5× 128 2.6k
Xinchun Li China 24 789 1.2× 344 0.8× 142 0.4× 204 0.7× 479 2.0× 113 2.3k
Zhuoli Zhang United States 28 423 0.6× 157 0.4× 289 0.7× 372 1.3× 595 2.5× 155 2.5k
Ya Wang China 20 617 0.9× 368 0.8× 131 0.3× 216 0.8× 244 1.0× 69 1.8k
Xi Cheng China 27 816 1.2× 304 0.7× 190 0.5× 266 0.9× 518 2.1× 108 2.0k

Countries citing papers authored by Haige Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haige Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haige Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Haige Chen. A scholar is included among the top collaborators of Haige Chen 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 Haige Chen. Haige Chen 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, Qiuyan, Yuxia Yang, Haige Chen, et al.. (2025). Regulation of pancreatic cancer cells by suppressing KIN17 through the PI3K/AKT/mTOR signaling pathway. Oncology Reports. 53(2). 1 indexed citations
2.
Huang, Jiwei, Wen Kong, Jin Zhang, et al.. (2025). A Phase 2 Study of Tislelizumab as Neoadjuvant Treatment of Cisplatin-Ineligible High-Risk Upper Tract Urothelial Carcinoma. The Journal of Urology. 213(6). 739–752.
3.
Ding, Ding, Di Jin, Xiang Zhou, et al.. (2025). Aptamer-based Positron Emission Tomography Imaging Allows Specific Detection of Residual Bladder Cancer: A First-in-Human Study. European Urology. 89(1). 93–95. 1 indexed citations
4.
Chen, Haige & Ashutosh Dhekne. (2025). UWBKey: Using Contrastive Learning for Efficient Secure Key Generation in UWB. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(4). 1–31.
5.
Chan, Thomas Y.K., Jeremy Yuen‐Chun Teoh, Manish I. Patel, et al.. (2025). Estimating the Morbidity of Robot-Assisted Radical Cystectomy Using the Comprehensive Complication Index: Data from the Asian Robot-Assisted Radical Cystectomy Consortium. Cancers. 17(7). 1157–1157. 1 indexed citations
6.
Zhang, Ruiyun, Junjie Zhu, Di Jin, et al.. (2024). Strategically Staged Tumor Ablation and Inflammation Suppression Using Shell‐Core Nanoparticles to Eradicate Bladder Tumors and Prevent Recurrence. Advanced Functional Materials. 34(37). 5 indexed citations
7.
Zhang, Ruiyun, Di Jin, Wei Xue, et al.. (2024). Real-world study of urine-based NGS liquid biopsy in organ preservation therapy of muscle-invasive bladder cancer (MIBC).. Journal of Clinical Oncology. 42(16_suppl). e16602–e16602. 1 indexed citations
8.
Zhou, Xiang, Ruixue Zhang, Ruiyun Zhang, et al.. (2024). The Value of Dual Time Point 18F-FDG PET/CT Imaging in Differentiating Lymph Node Metastasis From Reactive Hyperplasia in Bladder Urothelial Carcinoma. Academic Radiology. 31(8). 3272–3281. 3 indexed citations
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11.
Wang, Yiqiu, Zehua Ma, Lei Qian, et al.. (2022). Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy. SHILAP Revista de lepidopterología. 5 indexed citations
12.
Yang, Zhao, Di Jin, Nan Zhang, et al.. (2021). Mutations of METTL3 predict response to neoadjuvant chemotherapy in muscle-invasive bladder cancer. Journal of Clinical and Translational Research. 7(3). 386–413. 4 indexed citations
13.
Zhang, Ruiyun, Feng Xie, Yue Zhang, et al.. (2021). Urinary Molecular Pathology for Patients with Newly Diagnosed Urothelial Bladder Cancer. The Journal of Urology. 206(4). 873–884. 36 indexed citations
14.
Yang, Fei, et al.. (2021). Immunotherapy in the Treatment of Urothelial Bladder Cancer: Insights From Single-Cell Analysis. Frontiers in Oncology. 11. 696716–696716. 18 indexed citations
15.
Yang, Guoliang, Mengyao Liu, Qiang Liu, et al.. (2019). Granulocytic myeloid-derived suppressor cells correlate with outcomes undergoing neoadjuvant chemotherapy for bladder cancer. Urologic Oncology Seminars and Original Investigations. 38(1). 5.e17–5.e23. 3 indexed citations
16.
Ge, Xiaoqian, Liang Dong, Lining Sun, et al.. (2015). New nanoplatforms based on UCNPs linking with polyhedral oligomeric silsesquioxane (POSS) for multimodal bioimaging. Nanoscale. 7(16). 7206–7215. 55 indexed citations
17.
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Cao, Ming, Xin Mu, Chen Chen Jiang, et al.. (2013). Single-nucleotide polymorphisms of GPX1 and MnSOD and susceptibility to bladder cancer: a systematic review and meta-analysis. Tumor Biology. 35(1). 759–764. 37 indexed citations
19.
Ying, Liang, Yong Huang, Haige Chen, et al.. (2012). Downregulated MEG3 activates autophagy and increases cell proliferation in bladder cancer. Molecular BioSystems. 9(3). 407–411. 263 indexed citations
20.
Yang, Guoliang, Juanjie Bo, Haige Chen, et al.. (2011). UHRF1 is associated with tumor recurrence in non-muscle-invasive bladder cancer. Medical Oncology. 29(2). 842–847. 29 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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