Si Li
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 21
- Lung Cancer Research Studies 6
- Cancer Cells and Metastasis 5
- Cancer Immunotherapy and Biomarkers 5
- CAR-T cell therapy research 4
- Pancreatic and Hepatic Oncology Research 4
- Epidemiology 13
- Liver Disease Diagnosis and Treatment 4
- Neuroendocrine Tumor Research Advances 4
- Co-authors
- Pin Wang (4 shared papers)Fangying Xu (6 shared papers)Xiaolu Han (2 shared papers)Natnaree Siriwon (2 shared papers)Kwang Gi Kim (2 shared papers)Shuai Yang (2 shared papers)Xiaoyang Zhang (2 shared papers)John Mac (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Scientific Reports (2 papers)OncoImmunology (2 papers)Frontiers in Oncology (2 papers)CHEST Journal (2 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Si Li
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Oncology 707
- Immunology 265
- Cancer Research 124
- Molecular Biology 362
- Biomedical Engineering 201
Countries citing papers authored by Si Li
This map shows the geographic impact of Si Li'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 Si Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Li more than expected).
Fields of papers citing papers by Si Li
This network shows the impact of papers produced by Si Li. 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 Si Li. The network helps show where Si Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Si Li, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 252 | |
| 2 | 2017 | 93 | |
| 3 | 2017 | 76 | |
| 4 | 2021 | 70 | |
| 5 | 2016 | 62 | |
| 6 | 2017 | 55 | |
| 7 | 2021 | 52 | |
| 8 | 2020 | 48 | |
| 9 | 2017 | 48 | |
| 10 | 2017 | 42 | |
| 11 | 2017 | 41 | |
| 12 | 2018 | 24 | |
| 13 | 2016 | 21 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2016 | 16 | |
| 17 | 2014 | 15 | |
| 18 | 2020 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2014 | 11 |
About Si Li
Si Li is a scholar working on Oncology, Epidemiology, Molecular Biology, Immunology and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (6 papers), Cancer Cells and Metastasis (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Oncology (707 citations), Immunology (265 citations), Cancer Research (124 citations), Molecular Biology (362 citations) and Biomedical Engineering (201 citations). Si Li has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Pin Wang, Fangying Xu, Xiaolu Han, Natnaree Siriwon, Kwang Gi Kim, Shuai Yang, Xiaoyang Zhang, John Mac, Feng He and Jin Tao. Their work appears in journals such as Journal of Clinical Oncology, Scientific Reports, OncoImmunology, Frontiers in Oncology and CHEST Journal.
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.