Xiaohui Si
Impact in
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- CAR-T cell therapy research
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- Immune Cell Function and Interaction
Papers in
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- RNA Interference and Gene Delivery 3
- RNA Research and Splicing 2
- 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)Mi Shao (3 shared papers)Lianjia Yang (1 shared paper)Xinyi Teng (3 shared papers)Tianning Gu (4 shared papers)F. H. White (1 shared paper)Yongxian Hu (3 shared papers)
- Journals
- Scientific Reports (1 paper)Frontiers in Psychiatry (1 paper)Oral Oncology (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaohui Si
27 papers receiving 459 citations
Peers
Comparison fields: 5 of 75
- Oncology 228
- Immunology 102
- Cancer Research 45
- Molecular Biology 200
- Biomedical Engineering 121
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 60 | |
| 2 | 1997 | 57 | |
| 3 | 2022 | 44 | |
| 4 | 1998 | 43 | |
| 5 | 2022 | 40 | |
| 6 | 2024 | 39 | |
| 7 | 2024 | 31 | |
| 8 | 2016 | 28 | |
| 9 | 2022 | 26 | |
| 10 | 2022 | 19 | |
| 11 | 2001 | 13 | |
| 12 | 2012 | 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 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2001 | 2 | |
| 20 | 2021 | 2 |
About Xiaohui Si
Xiaohui Si is a scholar working on Molecular Biology, Oncology, Cancer Research, Rheumatology and Biomedical Engineering, having authored 29 papers that have together received 467 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), Virus-based gene therapy research (2 papers), RNA Research and Splicing (2 papers), Bone Tissue Engineering Materials (2 papers), Cancer-related Molecular Pathways (2 papers) and Periodontal Regeneration and Treatments (2 papers). The work is most often cited by research in Oncology (228 citations), Immunology (102 citations), Cancer Research (45 citations), Molecular Biology (200 citations) and Biomedical Engineering (121 citations). Xiaohui Si has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include He Huang, Yue Huang, Mi Shao, Lianjia Yang, Xinyi Teng, Tianning Gu, F. H. White, Yongxian Hu, Pengxu Qian and Lu Xiao. Their work appears in journals such as Scientific Reports, Frontiers in Psychiatry, Oral Oncology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Cell Reports.
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.