Baijun Dong

2.4k total citations
75 papers, 1.8k citations indexed

About

Baijun Dong is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Baijun Dong has authored 75 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Pulmonary and Respiratory Medicine, 29 papers in Molecular Biology and 20 papers in Cancer Research. Recurrent topics in Baijun Dong's work include Prostate Cancer Treatment and Research (23 papers), Renal cell carcinoma treatment (16 papers) and Prostate Cancer Diagnosis and Treatment (13 papers). Baijun Dong is often cited by papers focused on Prostate Cancer Treatment and Research (23 papers), Renal cell carcinoma treatment (16 papers) and Prostate Cancer Diagnosis and Treatment (13 papers). Baijun Dong collaborates with scholars based in China, United States and Singapore. Baijun Dong's co-authors include Wei Xue, Yong Huang, Jiahua Pan, Hongchang Gao, Xiaoguang Shao, Yinjie Zhu, Wen Kong, Jiwei Huang, Fan Xu and Yanqing Wang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Baijun Dong

71 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baijun Dong China 27 879 625 476 466 170 75 1.8k
Qian Hao China 25 1.0k 1.1× 515 0.8× 412 0.9× 623 1.3× 151 0.9× 89 2.1k
Viktória László Hungary 29 834 0.9× 581 0.9× 372 0.8× 715 1.5× 335 2.0× 70 2.3k
Stefano Ferrero Italy 28 1.1k 1.2× 635 1.0× 588 1.2× 422 0.9× 236 1.4× 99 2.4k
Bin Lu China 16 618 0.7× 412 0.7× 295 0.6× 793 1.7× 269 1.6× 59 1.7k
Min Lu China 27 1.4k 1.6× 448 0.7× 691 1.5× 315 0.7× 183 1.1× 124 2.3k
Dominique Trudel Canada 25 595 0.7× 510 0.8× 413 0.9× 357 0.8× 76 0.4× 92 2.1k
Yue Gong China 17 736 0.8× 396 0.6× 628 1.3× 554 1.2× 100 0.6× 47 1.6k
Xin Yang China 24 645 0.7× 424 0.7× 345 0.7× 407 0.9× 237 1.4× 141 1.8k

Countries citing papers authored by Baijun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Baijun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baijun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Baijun Dong. A scholar is included among the top collaborators of Baijun Dong 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 Baijun Dong. Baijun Dong 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.
Huang, Jiayu, et al.. (2025). Enucleated bone marrow-derived mesenchymal stromal cells regulate immune microenvironment and promote testosterone production through efferocytosis. Reproductive Biology and Endocrinology. 23(1). 21–21. 3 indexed citations
2.
Zhang, Weiwei, Yiyi Ji, Xinyu Liu, et al.. (2025). Targeting the CCL5/CCR5 axis in tumor-stromal crosstalk to overcome cisplatin resistance in neuroendocrine prostate cancer. Journal of Experimental & Clinical Cancer Research. 44(1). 296–296.
3.
Du, Xinxing, Jiayi Wang, Jiazhou Liu, et al.. (2024). Precise diagnosis and risk stratification of prostate cancer by comprehensive serum metabolic fingerprints: a prediction model study. International Journal of Surgery. 110(3). 1450–1462. 4 indexed citations
4.
Song, Qixiang, et al.. (2023). The application of “S.I.S” technique improves long‐term continence after robotic radical prostatectomy. Neurourology and Urodynamics. 42(3). 650–661.
5.
Du, Xinxing, et al.. (2023). Taurine Inhibits Ferroptosis Mediated by the Crosstalk between Tumor Cells and Tumor‐Associated Macrophages in Prostate Cancer. Advanced Science. 11(3). e2303894–e2303894. 50 indexed citations
6.
Zhang, Xi, Hong Zheng, Jie Ning, et al.. (2022). Identification of characteristic metabolic panels for different stages of prostate cancer by 1H NMR-based metabolomics analysis. Journal of Translational Medicine. 20(1). 275–275. 17 indexed citations
7.
Dong, Lei, Wei Xu, Dixon Woon, et al.. (2020). Differences in contemporary biopsy Gleason score distribution in large cohorts of men diagnosed with prostate cancer from China and Canada. European Urology Open Science. 19. e1700–e1700. 2 indexed citations
8.
Han, Wei, Jing Shi, Jianguo Cao, Baijun Dong, & Wei Guan. (2020). Emerging Roles and Therapeutic Interventions of Aerobic Glycolysis in Glioma. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Song, Ping, Juwen Shen, Dekai Ye, et al.. (2020). Programming bulk enzyme heterojunctions for biosensor development with tetrahedral DNA framework. Nature Communications. 11(1). 838–838. 125 indexed citations
10.
Zheng, Hong, Baijun Dong, Jie Ning, et al.. (2019). NMR-based metabolomics analysis identifies discriminatory metabolic disturbances in tissue and biofluid samples for progressive prostate cancer. Clinica Chimica Acta. 501. 241–251. 36 indexed citations
11.
Ding, Yufeng, Ni Li, Baijun Dong, et al.. (2018). Chromatin remodeling ATPase BRG1 and PTEN are synthetic lethal in prostate cancer. Journal of Clinical Investigation. 129(2). 759–773. 61 indexed citations
12.
Chen, Na, Xiaoguang Shao, Hengyun Zhang, et al.. (2017). Surface-enhanced Raman spectroscopy of serum accurately detects prostate cancer in patients with prostate-specific antigen levels of 4–10 ng/mL. International Journal of Nanomedicine. Volume 12. 5399–5407. 62 indexed citations
13.
Jonasch, Eric, Gregory N. Fuller, Ian E. McCutcheon, et al.. (2017). The role of hepatocyte nuclear factor 1 homeobox B (HNF1B) loss in chromophobe RCC (ChRCC) development. Annals of Oncology. 28. v602–v602. 2 indexed citations
14.
Cai, Wen, Wen Kong, Baijun Dong, et al.. (2017). Comparison of efficacy, safety, and quality of life between sorafenib and sunitinib as first-line therapy for Chinese patients with metastatic renal cell carcinoma. Chinese Journal of Cancer. 36(1). 64–64. 12 indexed citations
15.
Wang, Yanqing, Fan Xu, Jiahua Pan, et al.. (2016). Platelet to lymphocyte ratio as an independent prognostic indicator for prostate cancer patients receiving androgen deprivation therapy. BMC Cancer. 16(1). 329–329. 26 indexed citations
16.
Xu, Yunze, Yicheng Qi, Jin Zhang, et al.. (2014). The impact of smoking on survival in renal cell carcinoma: a systematic review and meta-analysis. Tumor Biology. 35(7). 6633–6640. 18 indexed citations
17.
Huang, Jiwei, Wen Kong, Yonghui Chen, et al.. (2013). Risk factors and clinical management of hemorrhage after open partial nephrectomy. Zhonghua miniao waike zazhi. 34(9). 649–652. 1 indexed citations
18.
Gao, Hongchang, Baijun Dong, Jianmin Jia, et al.. (2012). Application of ex vivo 1H NMR metabonomics to the characterization and possible detection of renal cell carcinoma metastases. Journal of Cancer Research and Clinical Oncology. 138(5). 753–761. 55 indexed citations
19.
20.
Zhang, Hailiang, Baijun Dong, Jiade J. Lu, et al.. (2009). Efficacy of sorafenib on metastatic renal cell carcinoma in Asian patients: Results from a multicenter study. BMC Cancer. 9(1). 249–249. 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.

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