Ti Cai
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
- Oncology 15
- Polyomavirus and related diseases 3
- Metal complexes synthesis and properties 3
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- RNA Research and Splicing 4
- Protein Kinase Regulation and GTPase Signaling 3
- RNA and protein synthesis mechanisms 3
- Melanoma and MAPK Pathways 3
- Co-authors
- Paul A. Khavari (6 shared papers)Maya Dajee (4 shared papers)Mirella Lazarov (2 shared papers)Qun Lin (2 shared papers)Yoshiaki Kubo (2 shared papers)Cheryl L. Green (2 shared papers)Shiying Tao (2 shared papers)Mark E. Schmitt (4 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Molecular and Cellular Biology (3 papers)Cancer Research (3 papers)Blood (2 papers)Genetics (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Ti Cai
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Cancer Research 298
- Immunology and Allergy 90
- Oncology 317
- Molecular Biology 767
- Immunology 216
Countries citing papers authored by Ti Cai
This map shows the geographic impact of Ti Cai'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 Ti Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ti Cai more than expected).
Fields of papers citing papers by Ti Cai
This network shows the impact of papers produced by Ti Cai. 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 Ti Cai. The network helps show where Ti Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ti Cai, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 448 | |
| 2 | 2002 | 160 | |
| 3 | 2004 | 131 | |
| 4 | 2002 | 82 | |
| 5 | 2002 | 74 | |
| 6 | Inducible activation of Ras and Raf in adult epidermis. | 2003 | 70 |
| 7 | 2002 | 63 | |
| 8 | 2005 | 52 | |
| 9 | 1999 | 36 | |
| 10 | 2021 | 28 | |
| 11 | 2021 | 22 | |
| 12 | 2014 | 14 | |
| 13 | 2001 | 7 | |
| 14 | 2017 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2006 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2013 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 2025 | 2 |
About Ti Cai
Ti Cai is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), RNA Research and Splicing (4 papers), Polyomavirus and related diseases (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), RNA and protein synthesis mechanisms (3 papers), Melanoma and MAPK Pathways (3 papers), Crystal structures of chemical compounds (3 papers) and Metal complexes synthesis and properties (3 papers). The work is most often cited by research in Cancer Research (298 citations), Immunology and Allergy (90 citations), Oncology (317 citations), Molecular Biology (767 citations) and Immunology (216 citations). Ti Cai has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Paul A. Khavari, Maya Dajee, Mirella Lazarov, Qun Lin, Yoshiaki Kubo, Cheryl L. Green, Shiying Tao, Mark E. Schmitt, Masahito Tarutani and Jennifer Zhang. Their work appears in journals such as Journal of Clinical Oncology, Molecular and Cellular Biology, Cancer Research, Blood and Genetics.
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.