Suxia Lin
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 10%
- Viral-associated cancers and disorders
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
- Oncology 8
- Viral-associated cancers and disorders 5
- Cancer Immunotherapy and Biomarkers 2
-
- Cancer-related gene regulation 3
- Wnt/β-catenin signaling in development and cancer 3
- Co-authors
- Qi-Chun Cai (2 shared papers)Jihong Liu (2 shared papers)Xin Huang (2 shared papers)Jiabin Lu (2 shared papers)Chunyan Lan (2 shared papers)Ting Wan (1 shared paper)Huiqiang Huang (1 shared paper)Anjia Han (2 shared papers)
- Journals
- American Journal of Clinical Pathology (1 paper)Diagnostic Pathology (1 paper)Medicine (1 paper)Oncotarget (1 paper)iScience (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Suxia Lin
16 papers receiving 606 citations
Peers
Comparison fields: 5 of 58
- Immunology 219
- Oncology 267
- Cancer Research 96
- Pathology and Forensic Medicine 68
- Reproductive Medicine 30
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 | 191 | |
| 2 | 2020 | 123 | |
| 3 | 2001 | 106 | |
| 4 | 2013 | 55 | |
| 5 | 2015 | 32 | |
| 6 | 2011 | 30 | |
| 7 | Association of E-cadherin and beta-catenin with metastasis in nasopharyngeal carcinoma. | 2004 | 21 |
| 8 | 2016 | 21 | |
| 9 | 2021 | 10 | |
| 10 | [Study of sequence variations of Epstein-Barr virus LMP1 gene in nasopharyngeal carcinoma]. | 2005 | 8 |
| 11 | 2012 | 7 | |
| 12 | 2019 | 6 | |
| 13 | 2012 | 4 | |
| 14 | 2002 | 3 | |
| 15 | 2003 | 2 | |
| 16 | 2011 | 2 | |
| 17 | 2004 | 0 |
About Suxia Lin
Suxia Lin is a scholar working on Oncology, Molecular Biology, Immunology, Pathology and Forensic Medicine and Immunology and Allergy, having authored 17 papers that have together received 621 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (5 papers), Cancer-related gene regulation (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Immune Cell Function and Interaction (3 papers), Immune cells in cancer (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Cell Adhesion Molecules Research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (219 citations), Oncology (267 citations), Cancer Research (96 citations), Pathology and Forensic Medicine (68 citations) and Reproductive Medicine (30 citations). Suxia Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qi-Chun Cai, Jihong Liu, Xin Huang, Jiabin Lu, Chunyan Lan, Ting Wan, Huiqiang Huang, Anjia Han, Mai Xiong and Yingying Gu. Their work appears in journals such as American Journal of Clinical Pathology, Diagnostic Pathology, Medicine, Oncotarget and iScience.
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.