Dong-Hua Luo

2.5k total citations
24 papers, 1.1k citations indexed

About

Dong-Hua Luo is a scholar working on Oncology, Otorhinolaryngology and Surgery. According to data from OpenAlex, Dong-Hua Luo has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 13 papers in Otorhinolaryngology and 9 papers in Surgery. Recurrent topics in Dong-Hua Luo's work include Head and Neck Cancer Studies (13 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Viral-associated cancers and disorders (3 papers). Dong-Hua Luo is often cited by papers focused on Head and Neck Cancer Studies (13 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Viral-associated cancers and disorders (3 papers). Dong-Hua Luo collaborates with scholars based in China, India and United States. Dong-Hua Luo's co-authors include Bi-Jun Huang, Qiu-Yan Chen, Hai-Qiang Mai, Yi-Xin Zeng, Jun Cui, Xiao-Shi Zhang, Jiang Li, Pei‐Yu Huang, Hao-Yuan Mo and Chao-Nan Qian and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Dong-Hua Luo

24 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
Dong-Hua Luo China 15 475 388 379 379 258 24 1.1k
Hao-Yuan Mo China 17 388 0.8× 583 1.5× 667 1.8× 231 0.6× 352 1.4× 34 1.3k
Zhien Feng China 19 290 0.6× 538 1.4× 414 1.1× 181 0.5× 441 1.7× 79 1.0k
Hao‐Yuan Mo China 16 294 0.6× 711 1.8× 598 1.6× 278 0.7× 457 1.8× 37 1.3k
Christof Hofele Germany 24 729 1.5× 409 1.1× 539 1.4× 263 0.7× 396 1.5× 47 1.6k
Yi‐Jun Hua China 14 214 0.5× 516 1.3× 383 1.0× 151 0.4× 404 1.6× 34 971
Volkert B. Wreesmann United States 22 440 0.9× 357 0.9× 424 1.1× 151 0.4× 413 1.6× 32 1.4k
Françoise Drusch France 14 215 0.5× 133 0.3× 544 1.4× 305 0.8× 114 0.4× 17 924
Yong Bao China 16 245 0.5× 178 0.5× 316 0.8× 195 0.5× 223 0.9× 60 780
Hua-Qing Min China 9 237 0.5× 436 1.1× 314 0.8× 126 0.3× 323 1.3× 13 787
Hai‐Qiang Mai China 14 167 0.4× 293 0.8× 279 0.7× 109 0.3× 162 0.6× 36 628

Countries citing papers authored by Dong-Hua Luo

Since Specialization
Citations

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

Fields of papers citing papers by Dong-Hua Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong-Hua Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Dong-Hua Luo. A scholar is included among the top collaborators of Dong-Hua Luo 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 Dong-Hua Luo. Dong-Hua Luo 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.
Mai, Hai‐Qiang, Shanshan Guo, Li-Ting Liu, et al.. (2024). Neoadjuvant and adjuvant toripalimab for high-risk locoregionally advanced nasopharyngeal carcinoma: A randomized, double-blind, placebo-controlled phase 2 trial.. Journal of Clinical Oncology. 42(16_suppl). 6084–6084. 3 indexed citations
2.
Sun, Xue-Song, Yu-Jing Liang, Sai-Lan Liu, et al.. (2020). Establishment of a prognostic nomogram to identify optimal candidates for local treatment among patients with local recurrent nasopharyngeal carcinoma. Oral Oncology. 106. 104711–104711. 12 indexed citations
3.
Li, Xiao-Yun, Xue-Song Sun, Shan-Shan Guo, et al.. (2020). Intensive Local Radiotherapy Is Associated With Better Local Control and Prolonged Survival in Bone-Metastatic Nasopharyngeal Carcinoma Patients. Frontiers in Oncology. 10. 378–378. 9 indexed citations
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Li, Chang‐Zhi, Rui Sun, Yan Mei, et al.. (2018). Along with its favorable prognostic role, CLCA2 inhibits growth and metastasis of nasopharyngeal carcinoma cells via inhibition of FAK/ERK signaling. Journal of Experimental & Clinical Cancer Research. 37(1). 34–34. 30 indexed citations
6.
Xie, Ping, Yun Cao, Li-Xia Peng, et al.. (2017). Promoting tumorigenesis in nasopharyngeal carcinoma, NEDD8 serves as a potential theranostic target. Cell Death and Disease. 8(6). e2834–e2834. 55 indexed citations
7.
Zheng, Li-Sheng, Yun Cao, Li-Xia Peng, et al.. (2016). SPINK6 Promotes Metastasis of Nasopharyngeal Carcinoma via Binding and Activation of Epithelial Growth Factor Receptor. Cancer Research. 77(2). 579–589. 46 indexed citations
8.
Sun, Rui, et al.. (2016). Upregulated TRIM29 promotes proliferation and metastasis of nasopharyngeal carcinoma via PTEN/AKT/mTOR signal pathway. Oncotarget. 7(12). 13634–13650. 55 indexed citations
9.
Shen, Ting, Dong-Hua Luo, Qiu-Yan Chen, et al.. (2015). Different Prognostic Values of Plasma Epstein-Barr Virus DNA and Maximal Standardized Uptake Value of 18F-FDG PET/CT for Nasopharyngeal Carcinoma Patients with Recurrence. PLoS ONE. 10(4). e0122756–e0122756. 27 indexed citations
10.
Jiang, Rou, Xiu-Yu Cai, Yue Yan, et al.. (2015). Elevated peripheral blood lymphocyte-to-monocyte ratio predicts a favorable prognosis in the patients with metastatic nasopharyngeal carcinoma. Chinese Journal of Cancer. 34(3). 237–46. 48 indexed citations
11.
Huang, Pei‐Yu, Yan Li, Dong-Hua Luo, et al.. (2015). Expression of Aurora-B and FOXM1 predict poor survival in patients with nasopharyngeal carcinoma. Strahlentherapie und Onkologie. 191(8). 649–655. 14 indexed citations
12.
Jiang, Rou, Xiong Zou, Wen Hu, et al.. (2015). The elevated pretreatment platelet-to-lymphocyte ratio predicts poor outcome in nasopharyngeal carcinoma patients. Tumor Biology. 36(10). 7775–7787. 28 indexed citations
13.
Luo, Dong-Hua, Jing Yang, Ting Shen, et al.. (2014). A new T classification based on masticator space involvement in nasopharyngeal carcinoma: a study of 742 cases with magnetic resonance imaging. BMC Cancer. 14(1). 653–653. 8 indexed citations
14.
Jiang, Rou, Dong-Hua Luo, Ling Guo, et al.. (2014). Elevated apolipoprotein A-I levels are associated with favorable prognosis in metastatic nasopharyngeal carcinoma. Medical Oncology. 31(8). 80–80. 36 indexed citations
15.
Huang, Pei‐Yu, Dong-Hua Luo, Hai-Qiang Mai, et al.. (2014). Paired study of 172 cases of nasopharyngeal carcinoma with or without dermatomyositis. Acta Oto-Laryngologica. 134(8). 824–830. 9 indexed citations
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Mo, Hao-Yuan, Dong-Hua Luo, Huai Liu, et al.. (2013). Elevated Serum Endostatin Levels are Associated with Poor Survival in Patients with Advanced-stage Nasopharyngeal Carcinoma. Clinical Oncology. 25(5). 308–317. 12 indexed citations
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20.
Chen, Qiu-Yan, Yue-Feng Wen, Ling Guo, et al.. (2011). Concurrent Chemoradiotherapy vs Radiotherapy Alone in Stage II Nasopharyngeal Carcinoma: Phase III Randomized Trial. JNCI Journal of the National Cancer Institute. 103(23). 1761–1770. 232 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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