Xia Han
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
- Genetics 2
- Co-authors
- Fei Huang (4 shared papers)Peter Shaw (3 shared papers)Edwin Clark (2 shared papers)Karen A. Reeves (2 shared papers)Kerstin Sandelin (1 shared paper)Lukas C. Amler (1 shared paper)Lambert Skoog (1 shared paper)Edison T. Liu (1 shared paper)
- Journals
- Cancer Research (2 papers)Maternal and Child Health Journal (1 paper)Breast Cancer Research (1 paper)Molecular Cancer (1 paper)PubMed (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xia Han
7 papers receiving 1.2k citations
Xia Han's Hit Papers
Peers
Comparison fields: 5 of 72
- Cancer Research 267
- Oncology 353
- Molecular Biology 601
- Pathology and Forensic Medicine 101
- Cell Biology 75
Countries citing papers authored by Xia Han
This map shows the geographic impact of Xia 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 Xia Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Han more than expected).
Fields of papers citing papers by Xia Han
This network shows the impact of papers produced by Xia 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 Xia Han. The network helps show where Xia Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts Hit paper breakdown → | 2005 | 615 |
| 2 | 2007 | 274 | |
| 3 | 2008 | 137 | |
| 4 | 2004 | 117 | |
| 5 | 2013 | 26 | |
| 6 | [Expression of autophagy related gene Beclin1 and MAPLC3 in bone marrow mononuclear cells isolated from acute leukemia patients and its significance]. | 2011 | 6 |
| 7 | [Expression characteristics of SDF-1 receptor CXCR4 in mesenchymal stem cells derived from human umbilical cord tissue]. | 2011 | 1 |
About Xia Han
Xia Han is a scholar working on Cancer Research, Genetics, Pathology and Forensic Medicine, Surgery and Molecular Biology, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (1 paper), Gestational Diabetes Research and Management (1 paper), Heat shock proteins research (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Cancer Risks and Factors (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper) and Neuroblastoma Research and Treatments (1 paper). The work is most often cited by research in Cancer Research (267 citations), Oncology (353 citations), Molecular Biology (601 citations), Pathology and Forensic Medicine (101 citations) and Cell Biology (75 citations). Xia Han has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Fei Huang, Peter Shaw, Edwin Clark, Karen A. Reeves, Kerstin Sandelin, Lukas C. Amler, Lambert Skoog, Edison T. Liu, Johanna Smeds and Jonas Bergh. Their work appears in journals such as Cancer Research, Maternal and Child Health Journal, Breast Cancer Research, Molecular Cancer and PubMed.
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.