Anjia Han

2.2k total citations
88 papers, 1.5k citations indexed

About

Anjia Han is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anjia Han has authored 88 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 29 papers in Oncology and 27 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anjia Han's work include Sarcoma Diagnosis and Treatment (19 papers), Cancer-related gene regulation (12 papers) and Lymphoma Diagnosis and Treatment (12 papers). Anjia Han is often cited by papers focused on Sarcoma Diagnosis and Treatment (19 papers), Cancer-related gene regulation (12 papers) and Lymphoma Diagnosis and Treatment (12 papers). Anjia Han collaborates with scholars based in China, United States and Hong Kong. Anjia Han's co-authors include Huijuan Shi, Tiantian Zhen, Min Xiong, Ying-jie Liang, Fenfen Zhang, Yong‐sheng Zong, Wancai Yang, Fenfen Zhang, Yu Dong and Xiuli Bi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Anjia Han

77 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anjia Han China 22 683 557 402 377 225 88 1.5k
Laurine Verset Belgium 20 418 0.6× 728 1.3× 262 0.7× 363 1.0× 175 0.8× 60 1.6k
Jeanne Shen United States 19 919 1.3× 775 1.4× 430 1.1× 357 0.9× 433 1.9× 44 2.2k
Wen‐Chiuan Tsai Taiwan 24 659 1.0× 351 0.6× 150 0.4× 288 0.8× 278 1.2× 118 1.6k
Guanzhen Yu China 27 1.5k 2.3× 532 1.0× 165 0.4× 763 2.0× 341 1.5× 81 2.3k
Maurizio Di Bonito Italy 26 870 1.3× 794 1.4× 161 0.4× 736 2.0× 272 1.2× 82 2.0k
Nicola Barnard United States 17 481 0.7× 450 0.8× 166 0.4× 283 0.8× 185 0.8× 40 1.1k
Xinjuan Fan China 26 828 1.2× 781 1.4× 198 0.5× 443 1.2× 297 1.3× 100 2.1k
Lingchuan Guo China 22 621 0.9× 339 0.6× 87 0.2× 403 1.1× 254 1.1× 92 1.3k
Alexander H. Boag Canada 16 710 1.0× 375 0.7× 106 0.3× 138 0.4× 505 2.2× 40 1.5k
Victoria Bingham United Kingdom 22 581 0.9× 430 0.8× 254 0.6× 257 0.7× 163 0.7× 46 1.4k

Countries citing papers authored by Anjia Han

Since Specialization
Citations

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

Fields of papers citing papers by Anjia Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anjia Han

This figure shows the co-authorship network connecting the top 25 collaborators of Anjia Han. A scholar is included among the top collaborators of Anjia Han 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 Anjia Han. Anjia Han 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.
Zhu, Lianghui, Tian Gu, Fenfen Zhang, et al.. (2025). Hierarchically Optimized Multiple Instance Learning With Multi-Magnification Pathological Images for Cerebral Tumor Diagnosis. IEEE Journal of Biomedical and Health Informatics. 29(6). 4173–4185.
2.
Wang, Yuting, Huabin Gao, Shuai Zheng, et al.. (2025). Ezetimibe mediated RPS6KA2 inhibits colorectal cancer proliferation via PCSK9/MAPK signaling pathway. Cancer Treatment and Research Communications. 43. 100899–100899.
3.
Peña, Maria Del Carmen Rodriguez, et al.. (2025). Renal haemangioblastoma: a clinicopathologic and molecular characterization of 8 cases supporting the presence of recurrent MTOR pathway alterations. Histopathology. 87(5). 726–735. 1 indexed citations
4.
He, Tingting, Yiqing Liu, Lianghui Zhu, et al.. (2024). Pathology diagnosis of intraoperative frozen thyroid lesions assisted by deep learning. BMC Cancer. 24(1). 1069–1069.
5.
Dong, Yu, Fenfen Zhang, Tiantian Zhen, et al.. (2024). Claudin18.2 expression and its clinicopathological feature in adenocarcinoma from various parts. Journal of Clinical Pathology. 78(12). 815–821. 3 indexed citations
6.
Wu, Ruifan, Zhipei Chen, Lai Peng, et al.. (2024). A graph-learning based model for automatic diagnosis of Sjögren’s syndrome on digital pathological images: a multicentre cohort study. Journal of Translational Medicine. 22(1). 748–748. 3 indexed citations
7.
Hu, Guanghui, Jun Yu, Q. Ping Dou, et al.. (2024). High Prevalence of TBC1D12 5′UTR Mutations in Anaplastic Thyroid Cancer. Thyroid. 35(1). 115–119. 3 indexed citations
8.
Liu, Yiqing, et al.. (2023). AI-Powered Segmentation of Invasive Carcinoma Regions in Breast Cancer Immunohistochemical Whole-Slide Images. Cancers. 16(1). 167–167. 7 indexed citations
9.
Liu, Yiqing, et al.. (2022). Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images. Sensors. 22(16). 6053–6053. 4 indexed citations
10.
11.
Liu, Shuting, Yiqing Liu, Anjia Han, et al.. (2021). Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks. IEEE Transactions on Medical Imaging. 40(8). 1977–1989. 84 indexed citations
12.
13.
Yang, Yang, Yuedong Ma, Huabin Gao, et al.. (2020). A novel HDGF-ALCAM axis promotes the metastasis of Ewing sarcoma via regulating the GTPases signaling pathway. Oncogene. 40(4). 731–745. 22 indexed citations
14.
Kang, Lili, Fenfen Zhang, Hui Li, et al.. (2014). Retinoid X Receptor-α Expression Suppression and its Promoter Methylation Associates with β-catenin Expression in Colorectal Cancer. 2(6). 153–160. 1 indexed citations
15.
Li, Hui, Tiantian Zhen, Huijuan Shi, et al.. (2014). Clinical and biological significance of miR-378a-3p and miR-378a-5p in colorectal cancer. European Journal of Cancer. 50(6). 1207–1221. 59 indexed citations
16.
Liu, Liping, Jueheng Wu, Zhe Ying, et al.. (2010). Astrocyte Elevated Gene-1 Upregulates Matrix Metalloproteinase-9 and Induces Human Glioma Invasion. Cancer Research. 70(9). 3750–3759. 136 indexed citations
17.
Han, Anjia, Chang Tong, Dong Hu, et al.. (2008). Sulindac suppresses β-catenin expression in human cancer cells. European Journal of Pharmacology. 583(1). 26–31. 52 indexed citations
18.
Han, Anjia, Chang Tong, Dong Hu, Xiuli Bi, & Wancai Yang. (2008). A direct protein-protein interaction is involved in the suppression of β-catenin transcription by retinoid X receptor α in colorectal cancer cells. Cancer Biology & Therapy. 7(3). 454–459. 16 indexed citations
19.
Han, Anjia, Chang Tong, Tianhong Li, et al.. (2007). Sulindac suppressed beta-catenin expression in human malignant cell lines. Cancer Research. 67. 3–3. 3 indexed citations
20.
Bi, Xiuli, Yuqing Zhao, Anjia Han, et al.. (2007). Targeting beta-catenin signaling in colorectal cancer: anti-cancer bioactivities of 20(S)-25-OCH3-PPD, a natural product from Panax notoginseng. Cancer Epidemiology and Prevention Biomarkers. 16. 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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