Xiaohui Si
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
-
- Immune Cell Function and Interaction
Papers in
-
- RNA Interference and Gene Delivery 3
- Oncology 9
- CAR-T cell therapy research 7
- Cancer-related Molecular Pathways 2
- Co-authors
- He Huang (7 shared papers)Yue Huang (4 shared papers)Xinyi Teng (3 shared papers)Mi Shao (3 shared papers)Tianning Gu (4 shared papers)Lianjia Yang (1 shared paper)Christine E. Brown (1 shared paper)F. H. White (1 shared paper)
- Journals
- Frontiers in Genetics (1 paper)International Journal of Oral and Maxillofacial Surgery (1 paper)Journal of Hematology & Oncology (1 paper)Frontiers in Psychiatry (1 paper)Blood (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaohui Si
30 papers receiving 506 citations
Peers
Comparison fields: 5 of 76
- Oncology 240
- Immunology 97
- Cancer Research 42
- Urology 16
- Molecular Biology 190
Countries citing papers authored by Xiaohui Si
This map shows the geographic impact of Xiaohui Si'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 Xiaohui Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Si more than expected).
Fields of papers citing papers by Xiaohui Si
This network shows the impact of papers produced by Xiaohui Si. 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 Xiaohui Si. The network helps show where Xiaohui Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Si, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 67 | |
| 2 | 1997 | 59 | |
| 3 | 2022 | 47 | |
| 4 | 1998 | 46 | |
| 5 | 2022 | 46 | |
| 6 | 2024 | 45 | |
| 7 | 2024 | 35 | |
| 8 | 2022 | 34 | |
| 9 | 2016 | 28 | |
| 10 | 2022 | 20 | |
| 11 | 2012 | 15 | |
| 12 | 2001 | 13 | |
| 13 | 2018 | 13 | |
| 14 | 2008 | 9 | |
| 15 | Overexpression of bcl-2 protects hepatoma cell line HCC-9204 from ethanol-induced apoptosis. | 2002 | 8 |
| 16 | 2022 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Xiaohui Si
Xiaohui Si is a scholar working on Molecular Biology, Oncology, Cancer Research, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 517 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), MicroRNA in disease regulation (4 papers), RNA Interference and Gene Delivery (3 papers), Bone Tissue Engineering Materials (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Silicon Carbide Semiconductor Technologies (2 papers), Bone Tumor Diagnosis and Treatments (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Oncology (240 citations), Immunology (97 citations), Cancer Research (42 citations), Urology (16 citations) and Molecular Biology (190 citations). Xiaohui Si has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include He Huang, Yue Huang, Xinyi Teng, Mi Shao, Tianning Gu, Lianjia Yang, Christine E. Brown, F. H. White, Lu Xiao and Dongrui Wang. Their work appears in journals such as Frontiers in Genetics, International Journal of Oral and Maxillofacial Surgery, Journal of Hematology & Oncology, Frontiers in Psychiatry and Blood.
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.