De Cai
Impact in
- Biotechnology top 5%
- Cancer Research and Treatments
-
- Cancer-related Molecular Pathways
- CAR-T cell therapy research
Papers in
-
- Bone Metabolism and Diseases 2
- Oncology 4
- Cancer-related Molecular Pathways 2
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Tapas Mukhopadhyay (4 shared papers)Jack A. Roth (3 shared papers)Elizabeth A. Grimm (2 shared papers)Renee N. Georges (1 shared paper)T. Fujiwara (1 shared paper)Toshiyoshi Fujiwara (3 shared papers)Jack A. Roth (1 shared paper)Yongjian Liu (1 shared paper)
- Journals
- Journal of Ethnopharmacology (2 papers)Oncology Reports (2 papers)Scientific Reports (1 paper)Medicine (1 paper)Steroids (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
De Cai
22 papers receiving 471 citations
Peers
Comparison fields: 5 of 83
- Biotechnology 127
- Oncology 165
- Genetics 150
- Molecular Biology 232
- Cancer Research 46
Countries citing papers authored by De Cai
This map shows the geographic impact of De 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 De Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Cai more than expected).
Fields of papers citing papers by De Cai
This network shows the impact of papers produced by De 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 De Cai. The network helps show where De Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside De 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 164 | |
| 2 | 1993 | 86 | |
| 3 | 2019 | 31 | |
| 4 | Suppression of lung cancer cell growth by ribozyme-mediated modification of p53 pre-mRNA. | 1995 | 25 |
| 5 | 1994 | 23 | |
| 6 | 2019 | 22 | |
| 7 | 2021 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2016 | 17 | |
| 10 | 2021 | 15 | |
| 11 | 2018 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2009 | 7 | |
| 15 | 2019 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2018 | 3 | |
| 20 | 2012 | 2 |
About De Cai
De Cai is a scholar working on Molecular Biology, Oncology, Biotechnology, Organic Chemistry and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 485 indexed citations. Recurring topics across this work include Cancer Research and Treatments (3 papers), Cancer-related Molecular Pathways (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Electromagnetic Launch and Propulsion Technology (2 papers), Synthesis and biological activity (2 papers), Bone Metabolism and Diseases (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Biotechnology (127 citations), Oncology (165 citations), Genetics (150 citations), Molecular Biology (232 citations) and Cancer Research (46 citations). De Cai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tapas Mukhopadhyay, Jack A. Roth, Elizabeth A. Grimm, Renee N. Georges, T. Fujiwara, Toshiyoshi Fujiwara, Jack A. Roth, Yongjian Liu, Joachim Roth and Liming Xie. Their work appears in journals such as Journal of Ethnopharmacology, Oncology Reports, Scientific Reports, Medicine and Steroids.
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.