Suxia Lin
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Oncology top 10%
- Viral-associated cancers and disorders
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
- Oncology 10
- Viral-associated cancers and disorders 6
- HER2/EGFR in Cancer Research 2
-
- Cancer-related gene regulation 4
- Wnt/β-catenin signaling in development and cancer 2
- Co-authors
- Jiabin Lu (2 shared papers)Qi-Chun Cai (2 shared papers)Xin Huang (2 shared papers)Chunyan Lan (2 shared papers)Jihong Liu (2 shared papers)Huiqiang Huang (1 shared paper)Ting Wan (1 shared paper)Anjia Han (2 shared papers)
- Journals
- iScience (1 paper)Medicine (1 paper)Cell and Tissue Research (1 paper)Diagnostic Pathology (1 paper)Theranostics (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Suxia Lin
17 papers receiving 605 citations
Peers
Comparison fields: 5 of 65
- Immunology 243
- Oncology 301
- Cancer Research 126
- Pathology and Forensic Medicine 101
- Reproductive Medicine 46
Countries citing papers authored by Suxia Lin
This map shows the geographic impact of Suxia Lin'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 Suxia Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suxia Lin more than expected).
Fields of papers citing papers by Suxia Lin
This network shows the impact of papers produced by Suxia Lin. 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 Suxia Lin. The network helps show where Suxia Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Suxia Lin, 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 | 2013 | 187 | |
| 2 | 2020 | 117 | |
| 3 | 2001 | 94 | |
| 4 | 2013 | 55 | |
| 5 | 2015 | 32 | |
| 6 | 2011 | 30 | |
| 7 | 2016 | 21 | |
| 8 | Association of E-cadherin and beta-catenin with metastasis in nasopharyngeal carcinoma. | 2004 | 20 |
| 9 | 2022 | 19 | |
| 10 | 2021 | 9 | |
| 11 | [Study of sequence variations of Epstein-Barr virus LMP1 gene in nasopharyngeal carcinoma]. | 2005 | 8 |
| 12 | 2012 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2012 | 4 | |
| 15 | 2002 | 3 | |
| 16 | 2003 | 2 | |
| 17 | 2011 | 2 | |
| 18 | 2004 | 0 |
About Suxia Lin
Suxia Lin is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Immunology and Cancer Research, having authored 18 papers that have together received 616 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (6 papers), Lymphoma Diagnosis and Treatment (4 papers), Cancer-related gene regulation (4 papers), Immune Cell Function and Interaction (3 papers), Immune cells in cancer (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cell Adhesion Molecules Research (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Immunology (243 citations), Oncology (301 citations), Cancer Research (126 citations), Pathology and Forensic Medicine (101 citations) and Reproductive Medicine (46 citations). Suxia Lin has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jiabin Lu, Qi-Chun Cai, Xin Huang, Chunyan Lan, Jihong Liu, Huiqiang Huang, Ting Wan, Anjia Han, Min Xiong and Yingying Gu. Their work appears in journals such as iScience, Medicine, Cell and Tissue Research, Diagnostic Pathology and Theranostics.
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.