Xiang Tu

1.5k total citations
89 papers, 1.1k citations indexed

About

Xiang Tu is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Water Science and Technology. According to data from OpenAlex, Xiang Tu has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pulmonary and Respiratory Medicine, 15 papers in Rheumatology and 13 papers in Water Science and Technology. Recurrent topics in Xiang Tu's work include Prostate Cancer Treatment and Research (22 papers), Prostate Cancer Diagnosis and Treatment (19 papers) and Urologic and reproductive health conditions (11 papers). Xiang Tu is often cited by papers focused on Prostate Cancer Treatment and Research (22 papers), Prostate Cancer Diagnosis and Treatment (19 papers) and Urologic and reproductive health conditions (11 papers). Xiang Tu collaborates with scholars based in China, United States and United Kingdom. Xiang Tu's co-authors include Yonghui Song, Qiang Wei, Yige Bao, Lu Yang, Shi Qiu, Ruixia Liu, Huibin Yu, Erdeng Du, Jianfeng Peng and Kun Jin and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Xiang Tu

85 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang Tu China 18 258 228 197 168 117 89 1.1k
Junzo Suzuki Japan 22 205 0.8× 108 0.5× 146 0.7× 69 0.4× 226 1.9× 90 1.3k
Yingzhe Wang China 26 142 0.6× 170 0.7× 393 2.0× 172 1.0× 124 1.1× 111 2.1k
L Bonomo Italy 16 205 0.8× 187 0.8× 289 1.5× 150 0.9× 123 1.1× 101 895
Andrea Colombo Italy 22 211 0.8× 41 0.2× 226 1.1× 158 0.9× 443 3.8× 51 1.3k
Ying Cheng China 18 189 0.7× 537 2.4× 179 0.9× 329 2.0× 104 0.9× 29 1.7k
Wenlan Yang China 17 217 0.8× 334 1.5× 67 0.3× 219 1.3× 88 0.8× 60 872
Peter Morgenstern United States 23 62 0.2× 183 0.8× 298 1.5× 67 0.4× 173 1.5× 93 1.6k
Thomas Brinkmann Germany 19 39 0.2× 193 0.8× 111 0.6× 130 0.8× 237 2.0× 58 1.5k
Atsushi Shibata Japan 18 78 0.3× 60 0.3× 181 0.9× 53 0.3× 77 0.7× 71 853
Hui Geng China 24 201 0.8× 212 0.9× 295 1.5× 179 1.1× 76 0.6× 55 2.4k

Countries citing papers authored by Xiang Tu

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Tu. A scholar is included among the top collaborators of Xiang Tu 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 Xiang Tu. Xiang Tu 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.
Liang, Zongan, Xiang Tu, Hongbao Liu, et al.. (2025). Occurrence of volatile and semi-volatile organic compounds in solid waste landfills and their pollution risk to groundwater. Journal of Hazardous Materials. 488. 137456–137456. 2 indexed citations
2.
Tu, Xiang, et al.. (2025). Deep learning-based classification of multiple fundus diseases using ultra-widefield images. Frontiers in Cell and Developmental Biology. 13. 1630667–1630667.
3.
Wang, Jiahao, Junwei Ren, Xiang Tu, et al.. (2024). ARNTL2 facilitates bladder cancer progression through potentiating ENO1-mediated glycolysis in a SLC31A1-independent and -dependent manner. Life Sciences. 355. 122974–122974. 5 indexed citations
4.
5.
Zhang, Chichen, Qiong Zhang, Ling Nie, et al.. (2024). Transperineal 3-Core Magnetic Resonance Imaging Ultrasound Fusion Targeted Plus Laterally 6-Core Systematic Biopsy in Prostate Cancer Diagnosis. Clinical Genitourinary Cancer. 22(4). 102121–102121. 1 indexed citations
6.
Tu, Xiang, Jianjun Ye, Tianhai Lin, et al.. (2023). Transperineal magnetic resonance imaging targeted biopsy versus transrectal route in the detection of prostate cancer: a systematic review and meta-analysis. Prostate Cancer and Prostatic Diseases. 27(2). 212–221. 20 indexed citations
7.
Fang, Wenwen, Zhiwei Liang, Xiang Tu, et al.. (2022). Organic carbon and eukaryotic predation synergistically change resistance and resilience of aquatic microbial communities. The Science of The Total Environment. 830. 154386–154386. 10 indexed citations
8.
Zhang, Shiyu, Shi Qiu, Kun Jin, et al.. (2021). Associations between the dietary inflammatory index and urinary incontinence among women younger than 65 years. Scientific Reports. 11(1). 9340–9340. 11 indexed citations
9.
Zhou, Xianghong, Kun Jin, Shi Qiu, et al.. (2020). Comparing effectiveness of radical prostatectomy versus external beam radiotherapy in patients with locally advanced prostate cancer. Medicine. 99(34). e21642–e21642. 1 indexed citations
10.
Tu, Xiang, et al.. (2020). The optimal core number and site for MRI-targeted biopsy of prostate? A systematic review and pooled analysis. Minerva Urologica e Nefrologica. 72(2). 144–151. 17 indexed citations
11.
Li, Jiakun, Shi Qiu, Mingjing He, et al.. (2019). <p>Significance of tertiary Gleason pattern 5 in patients with Gleason score 7 after radical prostatectomy: a retrospective cohort study</p>. OncoTargets and Therapy. Volume 12. 7157–7164. 1 indexed citations
12.
Jin, Kun, Shi Qiu, Jiakun Li, et al.. (2019). How to choose proper local treatment in men aged ≥75 years with cT2 localized prostate cancer?. Cancer Medicine. 8(7). 3370–3378. 3 indexed citations
13.
Tu, Xiang, Fan Wang, Mengni Zhang, et al.. (2019). <p>Predictive value of preoperative neutrophil-to-lymphocyte ratio in non-metastatic papillary renal cell carcinoma patients after receiving curative surgery</p>. Cancer Management and Research. Volume 11. 7515–7524. 4 indexed citations
14.
Yang, Lu, Qiang Wei, Kun Jin, et al.. (2019). Transurethral resection of the prostate is an independent risk factor for biochemical recurrence after radical prostatectomy for prostate cancer. Asian Journal of Andrology. 22(2). 217–217. 5 indexed citations
15.
Tu, Xiang, Ling Nie, Shi Qiu, et al.. (2019). Large Cell Neuroendocrine Carcinoma of the Prostate: A Systematic Review and Pooled Analysis. Urologia Internationalis. 103(4). 383–390. 18 indexed citations
16.
17.
Tu, Xiang, et al.. (2016). Comparison of Removal Behavior of Two Biotrickling Filters under Transient Condition and Effect of pH on the Bacterial Communities. PLoS ONE. 11(5). e0155593–e0155593. 24 indexed citations
18.
Dai, Yunrong, et al.. (2015). Sequential shape-selective adsorption and photocatalytic transformation of acrylonitrile production wastewater. Water Research. 85. 216–225. 21 indexed citations
19.
Li, Jianjun, et al.. (2015). Performance of a combined system of biotrickling filter and photocatalytic reactor in treating waste gases from a paint-manufacturing plant. Environmental Technology. 37(2). 237–244. 17 indexed citations
20.

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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