Xinjuan Fan
- Cancer Research top 5%
- Oncology top 5%
- Colorectal Cancer Surgical Treatments 18
- Colorectal Cancer Treatments and Studies 18
- Colorectal Cancer Screening and Detection 13
- Cancer Immunotherapy and Biomarkers 10
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- Radiomics and Machine Learning in Medical Imaging 11
- Molecular Biology top 10%
- RNA modifications and cancer 9
- Health Informatics top 10%
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- Genetic factors in colorectal cancer 19
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- Colorectal and Anal Carcinomas 10
- Co-authors
- Xiang‐Bo WanLei WangDianke ChenZihuan YangYaxi ZhuZuli YangJianping WangQuentin Liu
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xinjuan Fan
98 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 443
- Oncology 781
- Radiology, Nuclear Medicine and Imaging 424
- Molecular Biology 828
- Health Informatics 16
Countries citing papers authored by Xinjuan Fan
This map shows the geographic impact of Xinjuan Fan'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 Xinjuan Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinjuan Fan more than expected).
Fields of papers citing papers by Xinjuan Fan
This network shows the impact of papers produced by Xinjuan Fan. 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 Xinjuan Fan. The network helps show where Xinjuan Fan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinjuan Fan, 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 | 2025 | 9 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 82 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 10 | |
| 13 | 2020 | 25 | |
| 14 | 2019 | 6 | |
| 15 | 2018 | 27 | |
| 16 | 2015 | 23 | |
| 17 | 2014 | 25 | |
| 18 | 2011 | 9 | |
| 19 | 2010 | 22 | |
| 20 | 2002 | 14 |
About Xinjuan Fan
Xinjuan Fan is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 100 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (19 papers), Colorectal Cancer Surgical Treatments (18 papers), Colorectal Cancer Treatments and Studies (18 papers), Colorectal Cancer Screening and Detection (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Colorectal and Anal Carcinomas (10 papers), Cancer Immunotherapy and Biomarkers (10 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Cancer Research (443 citations), Oncology (781 citations) and Radiology, Nuclear Medicine and Imaging (424 citations). Xinjuan Fan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiang‐Bo Wan, Lei Wang, Dianke Chen, Zihuan Yang, Yaxi Zhu, Zuli Yang, Jianping Wang, Quentin Liu, Xinhui Fu and Pheng‐Ann Heng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.