Changjuan Tao

1.1k total citations · 1 hit paper
29 papers, 703 citations indexed

About

Changjuan Tao is a scholar working on Otorhinolaryngology, Oncology and Surgery. According to data from OpenAlex, Changjuan Tao has authored 29 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Otorhinolaryngology, 13 papers in Oncology and 12 papers in Surgery. Recurrent topics in Changjuan Tao's work include Head and Neck Cancer Studies (19 papers), Head and Neck Surgical Oncology (8 papers) and Lung Cancer Research Studies (6 papers). Changjuan Tao is often cited by papers focused on Head and Neck Cancer Studies (19 papers), Head and Neck Surgical Oncology (8 papers) and Lung Cancer Research Studies (6 papers). Changjuan Tao collaborates with scholars based in China, Hong Kong and United States. Changjuan Tao's co-authors include Jun Ma, Ying Sun, Ling‐Long Tang, Guan‐Qun Zhou, Joseph Wee, Yuanyuan Chen, Yan‐Ping Mao, Li Lin, Rong Zhang and Melvin L.K. Chua and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Radiology.

In The Last Decade

Changjuan Tao

28 papers receiving 695 citations

Hit Papers

Deep Learning for Automated Contouring of Primary Tumor V... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changjuan Tao China 12 321 273 188 174 157 29 703
Baher Elgohari United States 16 323 1.0× 246 0.9× 177 0.9× 122 0.7× 109 0.7× 33 616
Shao-Min Huang China 14 295 0.9× 550 2.0× 307 1.6× 197 1.1× 214 1.4× 18 864
Kwok‐Hung Au China 15 194 0.6× 305 1.1× 187 1.0× 70 0.4× 234 1.5× 28 659
Michael Dohopolski United States 14 227 0.7× 76 0.3× 196 1.0× 176 1.0× 72 0.5× 56 497
Henk P. Bijl Netherlands 13 345 1.1× 449 1.6× 357 1.9× 363 2.1× 49 0.3× 16 770
Nilesh Sable India 11 181 0.6× 64 0.2× 276 1.5× 85 0.5× 80 0.5× 65 625
Sebastian Lettmaier Germany 17 256 0.8× 80 0.3× 294 1.6× 184 1.1× 217 1.4× 59 823
J. Duppen Netherlands 11 640 2.0× 108 0.4× 366 1.9× 633 3.6× 54 0.3× 23 918
Dominic A.X. Schinagl Netherlands 15 493 1.5× 225 0.8× 221 1.2× 232 1.3× 178 1.1× 25 928
X. Sharon Qi United States 21 585 1.8× 89 0.3× 478 2.5× 673 3.9× 118 0.8× 86 1.1k

Countries citing papers authored by Changjuan Tao

Since Specialization
Citations

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

Fields of papers citing papers by Changjuan Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changjuan Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Changjuan Tao. A scholar is included among the top collaborators of Changjuan Tao 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 Changjuan Tao. Changjuan Tao 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.
Zhang, Peng, Changjuan Tao, Yang Liu, et al.. (2025). Identification of CD66c as a potential target in gastroesophageal junction cancer for antibody–drug conjugate development. Gastric Cancer. 28(3). 422–441. 1 indexed citations
2.
Tao, Changjuan, Peijing Li, Xing Wang, et al.. (2024). Epigenetic Reprogramming Potentiates ICAM1 Antibody Drug Conjugates in Preclinical Models of Melanoma. Advanced Science. 11(30). e2400203–e2400203. 3 indexed citations
4.
Cao, Caineng, Meng‐Yun Qiang, Changjuan Tao, et al.. (2023). The impact of the COVID‐19 pandemic on nasopharyngeal carcinoma extent at FDG PET/MR staging: The NPCOVIPET study. Head & Neck. 45(8). 1979–1985. 1 indexed citations
5.
Tao, Changjuan, Rui Huang, Ling Zhou, et al.. (2023). Hippocampus segmentation after brain tumor resection via postoperative region synthesis. BMC Medical Imaging. 23(1). 142–142. 1 indexed citations
6.
Tao, Changjuan, Peng Zhang, Yuanyuan Chen, & Ming Chen. (2023). High expression of WTAP is related to poor prognosis in nasopharyngeal carcinoma. Neoplasma. 70(2). 229–239. 3 indexed citations
7.
Tao, Changjuan, Takaya Shimura, Andrew C. Huang, et al.. (2023). ICAM1 antibody drug conjugates exert potent antitumor activity in papillary and anaplastic thyroid carcinoma. iScience. 26(8). 107272–107272. 12 indexed citations
8.
Zhou, Ling, Jia Chen, Changjuan Tao, et al.. (2020). Hematological Indexes Can Be Used to Predict the Incidence of Hypothyroidism in Nasopharyngeal Carcinoma Patients after Radiotherapy. BioMed Research International. 2020(1). 3860936–3860936. 3 indexed citations
9.
Gao, Yunhe, Rui Huang, Yiwei Yang, et al.. (2020). FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images. Medical Image Analysis. 67. 101831–101831. 65 indexed citations
10.
Zhou, Ling, et al.. (2020). Research progress of radiation-induced hypothyroidism in head and neck cancer. Journal of Cancer. 12(2). 451–459. 19 indexed citations
11.
Tao, Changjuan, Peng Zhang, Ling Zhou, Qiaoying Hu, & Xiaozhong Chen. (2020). Apatinib in treating patients with recurrent or metastatic nasopharyngeal carcinoma who had failed prior platinum-based chemotherapy. Translational Cancer Research. 9(10). 6392–6401. 3 indexed citations
12.
Lin, Li, Qi Dou, Yueming Jin, et al.. (2019). Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma. Radiology. 291(3). 677–686. 237 indexed citations breakdown →
13.
Tao, Changjuan, Yuanyuan Chen, Feng Jiang, et al.. (2016). The C-reactive Protein/Albumin Ratio Is an independent Prognostic Factor for Overall Survival in Patients with Nasopharyngeal Carcinoma Receiving Intensity-Modulated Radiotherapy. Journal of Cancer. 7(14). 2005–2011. 21 indexed citations
15.
Tao, Changjuan, Junlin Yi, Jason Chia‐Hsien Cheng, et al.. (2015). Multi-subject atlas-based auto-segmentation reduces interobserver variation and improves dosimetric parameter consistency for organs at risk in nasopharyngeal carcinoma: A multi-institution clinical study. Radiotherapy and Oncology. 115(3). 407–411. 74 indexed citations
16.
Tao, Changjuan, et al.. (2015). Predicting the Response of Neoadjuvant Therapy for Patients with Esophageal Carcinoma: an In-depth Literature Review. Journal of Cancer. 6(11). 1179–1186. 16 indexed citations
17.
Sun, Ying, Wei Luo, Anne W.M. Lee, et al.. (2014). Recommendation for a contouring method and atlas of organs at risk in nasopharyngeal carcinoma patients receiving intensity-modulated radiotherapy. Radiotherapy and Oncology. 110(3). 390–397. 114 indexed citations
18.
19.
Tao, Changjuan, Xu Liu, Ling‐Long Tang, et al.. (2013). Long-term outcome and late toxicities of simultaneous integrated boost-intensity modulated radiotherapy in pediatric and adolescent nasopharyngeal carcinoma. Chinese Journal of Cancer. 32(10). 525–532. 29 indexed citations
20.
Tao, Changjuan, Xu Liu, Ling‐Long Tang, et al.. (2013). Prognostic scoring system for locoregional control among the patients with nasopharyngeal carcinoma treated by intensity-modulated radiotherapy. Chinese Journal of Cancer. 32(9). 494–501. 26 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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