Bo Dai

5.0k total citations · 1 hit paper
144 papers, 3.3k citations indexed

About

Bo Dai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Bo Dai has authored 144 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Pulmonary and Respiratory Medicine, 46 papers in Molecular Biology and 45 papers in Oncology. Recurrent topics in Bo Dai's work include Prostate Cancer Treatment and Research (42 papers), Renal cell carcinoma treatment (32 papers) and Bladder and Urothelial Cancer Treatments (31 papers). Bo Dai is often cited by papers focused on Prostate Cancer Treatment and Research (42 papers), Renal cell carcinoma treatment (32 papers) and Bladder and Urothelial Cancer Treatments (31 papers). Bo Dai collaborates with scholars based in China, United States and Pakistan. Bo Dai's co-authors include Yao Zhu, Yijun Shen, Dingwei Ye, Guohai Shi, Yiping Zhu, Yu Zhu, Jiejie Xu, Dingwei Ye, Fangning Wan and Junyu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Bo Dai

143 papers receiving 3.3k citations

Hit Papers

Tumor immunotherapy resistance: Revealing the mechanism o... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Dai China 32 1.4k 1.3k 1.1k 1.0k 639 144 3.3k
Maria Rosaria Raspollini Italy 30 1.3k 0.9× 1.2k 0.9× 1.1k 1.1× 798 0.8× 1.2k 1.9× 149 4.0k
Qi Xue China 29 1.1k 0.7× 1.3k 1.0× 1.2k 1.1× 818 0.8× 651 1.0× 186 3.0k
Dongfeng Tan United States 37 1.9k 1.3× 901 0.7× 1.6k 1.5× 897 0.9× 772 1.2× 124 4.0k
Ling Guo China 33 1.3k 0.9× 691 0.5× 1.2k 1.1× 890 0.9× 798 1.2× 168 3.4k
Ryuichi Mizuno Japan 28 1.1k 0.7× 1.2k 0.9× 926 0.9× 526 0.5× 509 0.8× 205 2.6k
Tuomas Mirtti Finland 29 1.6k 1.1× 1.1k 0.8× 825 0.8× 718 0.7× 431 0.7× 127 3.0k
Tomohiko Asano Japan 27 1.5k 1.1× 804 0.6× 1.0k 0.9× 635 0.6× 763 1.2× 180 3.6k
Qing Kay Li United States 28 1.3k 0.9× 1.2k 0.9× 1.3k 1.2× 580 0.6× 326 0.5× 76 3.1k
Benjamin Esterni France 32 1.4k 1.0× 683 0.5× 2.2k 2.0× 1.0k 1.0× 512 0.8× 75 4.4k
Peter Bronsert Germany 31 1.4k 1.0× 1.2k 0.9× 1.7k 1.6× 896 0.9× 807 1.3× 142 3.9k

Countries citing papers authored by Bo Dai

Since Specialization
Citations

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

Fields of papers citing papers by Bo Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Dai. A scholar is included among the top collaborators of Bo Dai 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 Bo Dai. Bo Dai 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.
Dai, Bo, et al.. (2025). Policy pathways through FinTech and green finance for low-carbon energy transition in BRICS nations. Energy Strategy Reviews. 57. 101603–101603. 11 indexed citations
2.
Wang, Hongkai, Dalong Cao, Márcio Covas Moschovas, et al.. (2025). Early clinical experience with the Carina robotic platform in urologic surgery. BJUI Compass. 6(7). e70050–e70050. 1 indexed citations
3.
Cai, Yong, et al.. (2025). Gut microbiota and osteonecrosis: A Mendelian randomization study. Medicine. 104(10). e41703–e41703. 1 indexed citations
4.
Wang, Xuyan, Ying Pan, Ke Zhou, et al.. (2025). AMPK: An energy sensor for non-small cell lung cancer progression and treatment. Pharmacological Research. 212. 107592–107592. 4 indexed citations
5.
Li, Junhong, Ziwei Han, Yike Li, et al.. (2025). Mitoxantrone‐Encapsulated ZIF‐8 Enhances Chemo‐Immunotherapy via Amplified Immunogenic Cell Death. Advanced Science. 12(14). e2501542–e2501542. 8 indexed citations
6.
Li, Junhong, et al.. (2024). Lysine methyltransferase SMYD2 enhances androgen receptor signaling to modulate CRPC cell resistance to enzalutamide. Oncogene. 43(10). 744–757. 9 indexed citations
7.
Yu, Wei, Jian Pan, Shengming Jin, et al.. (2023). Prospective clinical sequencing of 1016 Chinese prostate cancer patients: uncovering genomic characterization and race disparity. Molecular Oncology. 17(10). 2183–2199. 6 indexed citations
8.
Abudurexiti, Mierxiati, Wenkai Zhu, Jun Wang, et al.. (2020). Targeting CPT1B as a potential therapeutic strategy in castration‐resistant and enzalutamide‐resistant prostate cancer. The Prostate. 80(12). 950–961. 40 indexed citations
9.
Cao, Dalong, Zihao Qi, Yangyang Pang, et al.. (2019). Retinoic Acid–Related Orphan Receptor C Regulates Proliferation, Glycolysis, and Chemoresistance via the PD-L1/ITGB6/STAT3 Signaling Axis in Bladder Cancer. Cancer Research. 79(10). 2604–2618. 102 indexed citations
10.
Wang, Yu-Chen, Jie Wu, Bo Dai, et al.. (2019). Extended versus non-extended lymphadenectomy during radical cystectomy for patients with bladder cancer: a meta-analysis of the effect on long-term and short-term outcomes. World Journal of Surgical Oncology. 17(1). 225–225. 19 indexed citations
11.
Qi, Yangyang, Yuan Chang, Zewei Wang, et al.. (2019). Tumor-associated macrophages expressing galectin-9 identify immunoevasive subtype muscle-invasive bladder cancer with poor prognosis but favorable adjuvant chemotherapeutic response. Cancer Immunology Immunotherapy. 68(12). 2067–2080. 36 indexed citations
12.
Fu, Hangcheng, Yu Zhu, Yiwei Wang, et al.. (2018). Identification and Validation of Stromal Immunotype Predict Survival and Benefit from Adjuvant Chemotherapy in Patients with Muscle-Invasive Bladder Cancer. Clinical Cancer Research. 24(13). 3069–3078. 127 indexed citations
13.
Ren, Min, et al.. (2018). Prognostic factors in primary anorectal melanoma: a clinicopathological study of 60 cases in China. Human Pathology. 79. 77–85. 16 indexed citations
14.
Zhu, Yu, Hua Xu, Yao Zhu, et al.. (2017). A single nucleotide polymorphism in CYP1B1 leads to differential prostate cancer risk and telomere length. Journal of Cancer. 9(2). 269–274. 9 indexed citations
15.
Zhang, Junyu, Yu Zhu, Yiwei Wang, et al.. (2017). Prognostic and Predictive Value of O6-methylguanine Methyltransferase for Chemotherapy in Patients with Muscle-Invasive Bladder Cancer. Annals of Surgical Oncology. 25(1). 342–348. 4 indexed citations
16.
Gu, Weijie, Yao Zhu, Xudong Yao, et al.. (2014). The effects of marital status on prognosis of patients with squamous cell carcinoma of the penis. 28(2). 19–22. 1 indexed citations
17.
Ye, Dingwei, et al.. (2014). Prognostic significance of the degree of extranodal extension in patients with penile carcinoma. Asian Journal of Andrology. 16(3). 437–437. 10 indexed citations
18.
Chang, Kun, Bo Dai, Yun-Yi Kong, et al.. (2013). Basal cell carcinoma of the prostate: clinicopathologic analysis of three cases and a review of the literature. World Journal of Surgical Oncology. 11(1). 193–193. 19 indexed citations
19.
20.
Dai, Bo, et al.. (2008). Progress achieved in determination method of extrinsic harmful residues in traditional Chinese medicine. Yaowu fenxi zazhi. 3 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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