Anjia Han
- Molecular Biology
- Oncology top 5%
- Pathology and Forensic Medicine top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Huijuan ShiTiantian ZhenMin XiongYing-jie LiangFenfen ZhangYong‐sheng ZongWancai YangYu Dong
- Topics
- Sarcoma Diagnosis and Treatment (19 papers)Cancer-related gene regulation (12 papers)Lymphoma Diagnosis and Treatment (12 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Anjia Han
77 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 683
- Oncology 557
- Pathology and Forensic Medicine 402
- Cancer Research 377
- Pulmonary and Respiratory Medicine 225
Countries citing papers authored by Anjia Han
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 84 | |
| 12 | 5 | |
| 13 | 22 | |
| 14 | Retinoid X Receptor-α Expression Suppression and its Promoter Methylation Associates with β-catenin Expression in Colorectal Cancer | 1 |
| 15 | 59 | |
| 16 | 136 | |
| 17 | 52 | |
| 18 | 16 | |
| 19 | Sulindac suppressed beta-catenin expression in human malignant cell lines | 3 |
| 20 | Targeting beta-catenin signaling in colorectal cancer: anti-cancer bioactivities of 20(S)-25-OCH3-PPD, a natural product from Panax notoginseng | 1 |
About Anjia Han
Anjia Han is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (19 papers), Cancer-related gene regulation (12 papers) and Lymphoma Diagnosis and Treatment (12 papers). The work is most often cited by research in Cancer Research (377 citations), Pathology and Forensic Medicine (402 citations) and Oncology (557 citations). Anjia Han has collaborated with scholars based in China, United States and Hong Kong. Frequent 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. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.