Rong Na

2.6k total citations
108 papers, 1.3k citations indexed

About

Rong Na is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Rong Na has authored 108 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Pulmonary and Respiratory Medicine, 35 papers in Molecular Biology and 23 papers in Genetics. Recurrent topics in Rong Na's work include Prostate Cancer Treatment and Research (48 papers), Prostate Cancer Diagnosis and Treatment (44 papers) and Genetic Associations and Epidemiology (13 papers). Rong Na is often cited by papers focused on Prostate Cancer Treatment and Research (48 papers), Prostate Cancer Diagnosis and Treatment (44 papers) and Genetic Associations and Epidemiology (13 papers). Rong Na collaborates with scholars based in China, United States and Hong Kong. Rong Na's co-authors include Qiang Ding, Jianfeng Xu, Yishuo Wu, Jianfeng Xu, S. Lilly Zheng, Brian T. Helfand, William B. Isaacs, Zhuqing Shi, Ning Zhang and Xiaoling Lin and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rong Na

102 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rong Na China 20 727 405 278 219 212 108 1.3k
Eijiro Nakamura Japan 19 472 0.6× 512 1.3× 574 2.1× 241 1.1× 147 0.7× 59 1.4k
R. Nam Canada 15 777 1.1× 460 1.1× 264 0.9× 327 1.5× 164 0.8× 22 1.2k
Takashi Imamoto Japan 24 911 1.3× 361 0.9× 255 0.9× 175 0.8× 77 0.4× 64 1.5k
Paula Kujala Finland 19 589 0.8× 282 0.7× 285 1.0× 181 0.8× 50 0.2× 69 994
Marcella Baldewijns Belgium 20 622 0.9× 858 2.1× 301 1.1× 389 1.8× 88 0.4× 62 1.6k
Gustavo de la Roza United States 15 705 1.0× 261 0.6× 283 1.0× 106 0.5× 58 0.3× 39 1.1k
Niels Tørring Denmark 22 262 0.4× 589 1.5× 184 0.7× 213 1.0× 110 0.5× 56 1.3k
S.-O. Andersson Sweden 10 794 1.1× 578 1.4× 390 1.4× 414 1.9× 125 0.6× 12 1.5k
Akira Komiya Japan 29 1.4k 1.9× 943 2.3× 438 1.6× 492 2.2× 243 1.1× 99 2.4k
Hongzhou Cai China 18 235 0.3× 610 1.5× 203 0.7× 493 2.3× 149 0.7× 44 1.0k

Countries citing papers authored by Rong Na

Since Specialization
Citations

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

Fields of papers citing papers by Rong Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Na

This figure shows the co-authorship network connecting the top 25 collaborators of Rong Na. A scholar is included among the top collaborators of Rong Na 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 Rong Na. Rong Na 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, Yuxuan, Qingrong Zhang, Shuguang Xu, et al.. (2025). An interplay between human genetics and intratumoral microbiota in the progression of colorectal cancer. Cell Host & Microbe. 33(5). 657–670.e6. 3 indexed citations
2.
Zhang, Ning, Jingyi Huang, Da Huang, et al.. (2024). The Impact of Prostate-Specific Antigen Screening on Prostate Cancer Incidence and Mortality in China: 13-Year Prospective Population-Based Cohort Study. JMIR Public Health and Surveillance. 10. e47161–e47161. 7 indexed citations
3.
4.
Gao, Peng, Zujun Fang, Danfeng Xu, et al.. (2023). Systematic evaluation of narrow‐sense validity of polygenic risk score for prostate cancer in a Chinese prostate biopsy cohort. Clinical Genetics. 103(6). 636–643.
5.
Chen, Jiaxuan, Jia Hou, Rong Na, et al.. (2023). Higher BST2 Expression Promotes the Anti‐HBV Effect of IFN‐α and BST2 Genetic Variant Predicts PegIFNα Treatment Response of HBeAg‐Positive Chronic Hepatitis B Patients. Clinical Pharmacology & Therapeutics. 115(2). 361–370. 2 indexed citations
6.
7.
Huang, Da, Jingyi Huang, Yongle Zhan, et al.. (2023). The Combined Effect of Polygenic Risk Score and Prostate Health Index in Chinese Men Undergoing Prostate Biopsy. Journal of Clinical Medicine. 12(4). 1343–1343. 2 indexed citations
8.
Xu, Jianfeng, Zhuqing Shi, Jun Wei, et al.. (2022). KLK3 germline mutation I179T complements DNA repair genes for predicting prostate cancer progression. Prostate Cancer and Prostatic Diseases. 25(4). 749–754. 2 indexed citations
9.
Huang, Da, et al.. (2022). Cannabis Use Is Associated With Lower COVID-19 Susceptibility but Poorer Survival. Frontiers in Public Health. 10. 829715–829715. 7 indexed citations
10.
Chen, Siteng, Encheng Zhang, Guangliang Jiang, et al.. (2022). Machine learning-based prognosis signature for survival prediction of patients with clear cell renal cell carcinoma. Heliyon. 8(9). e10578–e10578. 3 indexed citations
11.
Xu, Jianfeng, William B. Isaacs, Mufaddal Mamawala, et al.. (2021). Association of prostate cancer polygenic risk score with number and laterality of tumor cores in active surveillance patients. The Prostate. 81(10). 703–709. 9 indexed citations
12.
Na, Rong, Jun Wei, Christopher Sample, et al.. (2021). The HOXB13 variant X285K is associated with clinical significance and early age at diagnosis in African American prostate cancer patients. British Journal of Cancer. 126(5). 791–796. 17 indexed citations
13.
Huang, Jingyi, Da Huang, & Rong Na. (2021). The association between genetic variants in HSD3B1 and clinical management of PCa. 2 indexed citations
14.
Wu, Yishuo, Hongjie Yu, Shuwei Li, et al.. (2020). Rare Germline Pathogenic Mutations of DNA Repair Genes Are Most Strongly Associated with Grade Group 5 Prostate Cancer. European Urology Oncology. 3(2). 224–230. 38 indexed citations
15.
Liu, Wennuan, Shun Zheng, Rong Na, et al.. (2020). Distinct Genomic Alterations in Prostate Tumors Derived from African American Men. Molecular Cancer Research. 18(12). 1815–1824. 18 indexed citations
16.
Zhang, Chuanjie, et al.. (2019). Genome‐wide screening and cohorts validation identifying novel lncRNAs as prognostic biomarkers for clear cell renal cell carcinoma. Journal of Cellular Biochemistry. 121(3). 2559–2570. 11 indexed citations
17.
Na, Rong, Yishuo Wu, Guangliang Jiang, et al.. (2018). Germline mutations in DNA repair genes are associated with bladder cancer risk and unfavourable prognosis. British Journal of Urology. 122(5). 808–813. 11 indexed citations
18.
Na, Rong, Yishuo Wu, Xiaobo Wu, et al.. (2018). Evaluation of PSA-age volume score in predicting prostate cancer in Chinese population. Asian Journal of Andrology. 20(4). 324–324. 15 indexed citations
19.
Zhang, Ning, Yishuo Wu, Jianqing Wang, et al.. (2016). The effect of discrepancy between radiologic size and pathologic tumor size in renal cell cancer. SpringerPlus. 5(1). 899–899. 4 indexed citations
20.
Na, Rong, et al.. (2014). The influence of prostate volume on cancer detection in the Chinese population. Asian Journal of Andrology. 16(3). 482–482. 12 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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