Changming An

1.4k total citations
68 papers, 819 citations indexed

About

Changming An is a scholar working on Surgery, Otorhinolaryngology and Oncology. According to data from OpenAlex, Changming An has authored 68 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 21 papers in Otorhinolaryngology and 21 papers in Oncology. Recurrent topics in Changming An's work include Head and Neck Cancer Studies (20 papers), Thyroid Cancer Diagnosis and Treatment (20 papers) and Thyroid and Parathyroid Surgery (10 papers). Changming An is often cited by papers focused on Head and Neck Cancer Studies (20 papers), Thyroid Cancer Diagnosis and Treatment (20 papers) and Thyroid and Parathyroid Surgery (10 papers). Changming An collaborates with scholars based in China, United States and Australia. Changming An's co-authors include Yongyan Wu, Wei Gao, Xiwang Zheng, Shuxin Wen, Ming Yang, Zhengjiang Li, Wei Xu, Wenting Pan, Wenjie Chen and Meng Shi and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Oncogene.

In The Last Decade

Changming An

63 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changming An China 14 481 292 151 132 94 68 819
Giuseppina Della Vittoria Scarpati Italy 15 438 0.9× 313 1.1× 407 2.7× 125 0.9× 40 0.4× 44 973
Lucheng Zhu China 16 277 0.6× 194 0.7× 229 1.5× 67 0.5× 34 0.4× 54 713
Tim N. Beck United States 14 352 0.7× 151 0.5× 298 2.0× 48 0.4× 13 0.1× 28 756
Shengling Fu China 14 272 0.6× 158 0.5× 403 2.7× 56 0.4× 28 0.3× 37 746
Yajue Huang United States 15 251 0.5× 164 0.6× 196 1.3× 148 1.1× 34 0.4× 54 705
Dapeng Lei China 17 347 0.7× 164 0.6× 226 1.5× 176 1.3× 12 0.1× 62 734
Zhenqing Feng China 16 386 0.8× 147 0.5× 295 2.0× 52 0.4× 23 0.2× 43 786
Xiao‐Peng Tian China 16 287 0.6× 171 0.6× 220 1.5× 70 0.5× 11 0.1× 41 654
Chenyu Mao China 15 224 0.5× 74 0.3× 298 2.0× 88 0.7× 58 0.6× 61 661
Adnan Ali United Kingdom 12 171 0.4× 146 0.5× 136 0.9× 87 0.7× 46 0.5× 36 624

Countries citing papers authored by Changming An

Since Specialization
Citations

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

Fields of papers citing papers by Changming An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changming An

This figure shows the co-authorship network connecting the top 25 collaborators of Changming An. A scholar is included among the top collaborators of Changming An 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 Changming An. Changming An 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.
Tang, Le, Jiarui Yao, Yiming Zhu, et al.. (2025). Pembrolizumab with Chemotherapy for Patients with Recurrent or Metastatic Nasal Cavity and Paranasal Sinus Squamous Cell Carcinoma: A Prospective Phase ll Study. Clinical Cancer Research. 31(9). 1636–1643. 1 indexed citations
2.
Zhang, Xiwei, Zhaoyang Wang, Lian Li, et al.. (2025). The characterization of tumor immune microenvironment after neoadjuvant immunotherapy in head and neck squamous cell cancer using multiplex immunohistochemistry. Oral Oncology. 161. 107151–107151. 1 indexed citations
3.
Liu, Ying, et al.. (2024). Integration of Federated Learning and AI-Generated Content: A Survey of Overview, Opportunities, Challenges, and Solutions. IEEE Communications Surveys & Tutorials. 27(5). 3308–3338. 4 indexed citations
6.
Zhang, Luyao, et al.. (2023). BEST1 Positive Monocytes in Circulation: Visualize Intratumoral Crosstalk between Cancer Cells and Monocytes. Advanced Science. 10(17). e2205915–e2205915. 5 indexed citations
7.
Miao, Yang, Jun Chen, Xiwei Zhang, et al.. (2023). Twist-Net: A multi-modality transfer learning network with the hybrid bilateral encoder for hypopharyngeal cancer segmentation. Computers in Biology and Medicine. 154. 106555–106555. 8 indexed citations
8.
Li, Wenbin, et al.. (2023). Application of single-cell RNA sequencing in head and neck squamous cell carcinoma. Chinese Journal of Cancer Research. 35(4). 331–342. 6 indexed citations
9.
Liu, Yang, Nan Huang, Wei Xu, et al.. (2022). A modified tracheal transection approach for cervical esophageal lesion treatment: A report of 13 cases. Frontiers in Surgery. 9. 1001488–1001488. 1 indexed citations
10.
Zhang, Xiwei, Song Ni, Minjie Wang, et al.. (2022). A nomogram to predict lateral lymph node metastases in lateral neck in patients with medullary thyroid cancer. Frontiers in Endocrinology. 13. 902546–902546. 4 indexed citations
11.
Zhang, Cong, Guohui Wang, Chunbin Duan, et al.. (2021). Prognostic Value of Platelet Distribution Width and Mean Platelet Volume in Patients with Laryngeal Cancer. Future Oncology. 17(9). 1025–1037. 5 indexed citations
12.
An, Changming, Ying Sun, Susheng Miao, et al.. (2021). Retropharyngeal Lymph Node Metastasis Diagnosed by Magnetic Resonance Imaging in Hypopharyngeal Carcinoma: A Retrospective Analysis From Chinese Multi-Center Data. Frontiers in Oncology. 11. 649540–649540. 10 indexed citations
13.
Liu, Yang, Changming An, Xiaolei Wang, et al.. (2021). α-Enolase Lies Downstream of mTOR/HIF1α and Promotes Thyroid Carcinoma Progression by Regulating CST1. Frontiers in Cell and Developmental Biology. 9. 670019–670019. 9 indexed citations
14.
He, Yuqin, Yiming Zhu, Zehao Huang, et al.. (2021). Posttreatment Non-Improved Vocal Cord Mobility Indicates the Need of Salvage Surgery for Hypopharyngeal Carcinomas. Frontiers in Oncology. 10. 600599–600599. 1 indexed citations
15.
Chen, Kun, Zhiyuan Wu, Hong Zhao, et al.. (2019). XCL1 / Glypican-3 Fusion Gene Immunization Generates Potent Antitumor Cellular Immunity and Enhances Anti–PD-1 Efficacy. Cancer Immunology Research. 8(1). 81–93. 34 indexed citations
16.
Shi, Yong, Yujia Guo, Shuxin Wen, et al.. (2019). Effect of HPV Infection on the Occurrence and Development of Laryngeal Cancer: A Review. Journal of Cancer. 10(19). 4455–4462. 53 indexed citations
17.
Ge, Minghua, Meng Shi, Changming An, et al.. (2016). Functional evaluation of TERT-CLPTM1L genetic variants associated with susceptibility of papillary thyroid carcinoma. Scientific Reports. 6(1). 26037–26037. 27 indexed citations
18.
Zhu, Hui, Zheng Lv, Changming An, et al.. (2016). Onco-lncRNA HOTAIR and its functional genetic variants in papillary thyroid carcinoma. Scientific Reports. 6(1). 31969–31969. 82 indexed citations
19.
Xu, Zhen-gang, Zhengjiang Li, Changming An, et al.. (2014). Minimally-invasive endoscopically-assisted neck dissection for lateral cervical metastases of thyroid papillary carcinoma. British Journal of Oral and Maxillofacial Surgery. 52(9). 793–797. 14 indexed citations
20.
Li, Zhengjiang, et al.. (2011). [Analysis of surgical treatment of papillary thyroid carcinoma].. PubMed. 33(10). 779–82. 2 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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