Jia Zhan

954 total citations
39 papers, 722 citations indexed

About

Jia Zhan is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Jia Zhan has authored 39 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Surgery. Recurrent topics in Jia Zhan's work include Thyroid Cancer Diagnosis and Treatment (15 papers), Head and Neck Anomalies (8 papers) and Renal cell carcinoma treatment (7 papers). Jia Zhan is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (15 papers), Head and Neck Anomalies (8 papers) and Renal cell carcinoma treatment (7 papers). Jia Zhan collaborates with scholars based in China and United States. Jia Zhan's co-authors include Yue Chen, Xuehong Diao, Lin Chen, Hong Ding, Yingchun Liu, Chun Fu Wu, Jingyu Yang, Ruiwen Zhang, Jinhui Wang and Ji Ming Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine and BioMed Research International.

In The Last Decade

Jia Zhan

38 papers receiving 707 citations

Peers

Jia Zhan

RNMI

EDM

SURGE

PRM

Henry Fok United Kingdom

Michele M. Ciulla Italy

Kazuhiko Hashimura Japan

Rong Shi China

Bomi Kim South Korea

Zhigang Cheng China

Wen Tian China

Kazushi Urasawa Japan

Zhujun Shen China

Akira Oshita Japan

Henry Fok United Kingdom

Jia Zhan

69 ×0.2

RNMI

51 ×0.2

EDM

247 ×1.4

SURGE

71 ×0.5

98 ×0.8

PRM

Citations per year, relative to Jia Zhan Jia Zhan (= 1×) peers Henry Fok

Countries citing papers authored by Jia Zhan

Since Specialization

Citations

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

Fields of papers citing papers by Jia Zhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Zhan. A scholar is included among the top collaborators of Jia Zhan 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 Jia Zhan. Jia Zhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Qiu, Jiajun, Jine Li, Haixia Zeng, et al.. (2025). Triglyceride glucose-weight-adjusted waist index as a cardiovascular mortality predictor: incremental value beyond the establishment of TyG-related indices. Cardiovascular Diabetology. 24(1). 306–306. 4 indexed citations

Su, Biao, Lisha Li, Yingchun Liu, et al.. (2024). Quantitative parameters of contrast-enhanced ultrasound effectively promote the prediction of cervical lymph node metastasis in papillary thyroid carcinoma. Drug Discoveries & Therapeutics. 18(1). 44–53. 1 indexed citations

Chen, Lin, et al.. (2022). Superb microvascular imaging is as sensitive as contrast-enhanced ultrasound for detecting synovial vascularity in rheumatoid arthritis. Quantitative Imaging in Medicine and Surgery. 12(5). 2866–2876. 13 indexed citations

Liu, Hui, Lin Chen, Liang Fang, et al.. (2021). The quantitative evaluation of contrast-enhanced ultrasound in the differentiation of small renal cell carcinoma subtypes and angiomyolipoma. Quantitative Imaging in Medicine and Surgery. 12(1). 106–118. 23 indexed citations

Fang, Liang, Lin Chen, Jia Zhan, et al.. (2020). The independent indicators for differentiating renal cell carcinoma from renal angiomyolipoma by contrast-enhanced ultrasound. BMC Medical Imaging. 20(1). 13 indexed citations

Diao, Xuehong, et al.. (2020). Role of Superb Microvascular Imaging in Differentiating Between Malignant and Benign Solid Breast Masses. Clinical Breast Cancer. 20(6). e786–e793. 29 indexed citations

Dai, Wenbin, Jun Xu, Bo Yu, et al.. (2020). Correlation of Stiffness of Prostate Cancer Measured by Shear Wave Elastography with Grade Group: A Preliminary Study. Ultrasound in Medicine & Biology. 47(2). 288–295. 14 indexed citations

Chen, Lin, Jia Zhan, Xuehong Diao, et al.. (2019). Additional Value of Superb Microvascular Imaging for Thyroid Nodule Classification with the Thyroid Imaging Reporting and Data System. Ultrasound in Medicine & Biology. 45(8). 2040–2048. 32 indexed citations

Dai, Wenbin, Bo Yu, Xuehong Diao, et al.. (2019). Renal Masses: Evaluation with Contrast-Enhanced Ultrasound, with a Special Focus on the Pseudocapsule Sign. Ultrasound in Medicine & Biology. 45(8). 1924–1932. 11 indexed citations

10.

Zhan, Jia & Hong Ding. (2018). Application of contrast-enhanced ultrasound for evaluation of thyroid nodules. ULTRASONOGRAPHY. 37(4). 288–297. 45 indexed citations

11.

Diao, Xuehong, Jia Zhan, Lin Chen, Yue Chen, & Yingchun Liu. (2017). Quantification of solid hypo-echoic thyroid nodule enhancement with contrast-enhanced ultrasound. Translational Cancer Research. 6(6). 1078–1087. 5 indexed citations

12.

Zhan, Jia, et al.. (2017). Role of Contrast-Enhanced Ultrasound in Diagnosis of Thyroid Nodules in Acoustic Radiation Force Impulse “Gray Zone”. Ultrasound in Medicine & Biology. 43(6). 1179–1186. 6 indexed citations

13.

Diao, Xuehong, et al.. (2016). The value of superb micro-vascular imaging for diagnosis of thyroid nodules. 13(8). 622–626. 1 indexed citations

14.

Zhu, Jun, et al.. (2015). The value of combined stiffness score system for the diagnosis of thyroid micronodules. 12(10). 768–772. 1 indexed citations

15.

Zhan, Jia, et al.. (2015). Acoustic radiation force impulse imaging (ARFI) for differentiation of benign and malignant thyroid nodules—A meta-analysis. European Journal of Radiology. 84(11). 2181–2186. 53 indexed citations

16.

Xie, Meng, et al.. (2014). Elastography, a sensitive tool for the evaluation of neoadjuvant chemotherapy in patients with high-grade serous ovarian carcinoma. Oncology Letters. 8(4). 1652–1656. 13 indexed citations

17.

Xie, Meng, Xuyin Zhang, Jia Zhan, & Keqin Hua. (2013). Application of Real-time Ultrasound Elastography for Discrimination of Low- and High-grade Serous Ovarian Carcinoma. Journal of Ultrasound in Medicine. 32(2). 257–262. 18 indexed citations

18.

Xie, Meng, et al.. (2013). Potential Role of Strain Elastography for Detection of the Extent of Large‐Scar Endometriosis. Journal of Ultrasound in Medicine. 32(9). 1635–1642. 10 indexed citations

19.

Zhan, Jia, et al.. (2013). Comparative Study of Acoustic Radiation Force Impulse Imaging With Real-Time Elastography in Differential Diagnosis of Thyroid Nodules. Ultrasound in Medicine & Biology. 39(12). 2217–2225. 16 indexed citations

20.

Zhan, Jia, et al.. (2012). Primary Application of Shear Wave Elastography in Quantitative Differential Diagnosis of Benign and Malignant Thyroid Nodules. 28(3). 274–277. 1 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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