Can Cai
Impact in
- Cancer Research top 10%
- Materials Chemistry top 10%
- Luminescence and Fluorescent Materials
- Carbon and Quantum Dots Applications
- Nanocluster Synthesis and Applications
Papers in
-
- Machine Learning in Bioinformatics 4
- Protein Structure and Dynamics 3
- Epidemiology 13
- Liver Disease Diagnosis and Treatment 11
- Co-authors
- Hengwei Lin (1 shared paper)张凌 (1 shared paper)Junfeng Lu (1 shared paper)Chunxiang Xu (1 shared paper)Kai Jiang (1 shared paper)Yu Chen (3 shared papers)Jianping Gong (4 shared papers)Peizhi Li (3 shared papers)
- Journals
- Nutrients (3 papers)Oncotarget (2 papers)Atherosclerosis (2 papers)Nutrition & Metabolism (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Can Cai
39 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cancer Research 302
- Materials Chemistry 722
- Molecular Biology 997
- Oncology 341
- Hepatology 83
Countries citing papers authored by Can Cai
This map shows the geographic impact of Can 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 Can Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Cai more than expected).
Fields of papers citing papers by Can Cai
This network shows the impact of papers produced by Can 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 Can Cai. The network helps show where Can Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Triple‐Mode Emission of Carbon Dots: Applications for Advanced Anti‐Counterfeiting Hit paper breakdown → | 2016 | 725 |
| 2 | 2003 | 446 | |
| 3 | 2007 | 302 | |
| 4 | 2018 | 109 | |
| 5 | 2003 | 102 | |
| 6 | 2018 | 99 | |
| 7 | 2014 | 93 | |
| 8 | 2017 | 70 | |
| 9 | 2015 | 62 | |
| 10 | 2017 | 58 | |
| 11 | 2005 | 51 | |
| 12 | 2020 | 34 | |
| 13 | 2019 | 31 | |
| 14 | 2014 | 31 | |
| 15 | 2018 | 26 | |
| 16 | 2013 | 23 | |
| 17 | 2018 | 21 | |
| 18 | 2016 | 20 | |
| 19 | 2016 | 18 | |
| 20 | 2016 | 18 |
About Can Cai
Can Cai is a scholar working on Molecular Biology, Epidemiology, Surgery, Oncology and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Lipid metabolism and biosynthesis (5 papers), Diet, Metabolism, and Disease (5 papers), Machine Learning in Bioinformatics (4 papers), Protein Structure and Dynamics (3 papers), Nutritional Studies and Diet (3 papers), Lung Cancer Research Studies (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Cancer Research (302 citations), Materials Chemistry (722 citations), Molecular Biology (997 citations), Oncology (341 citations) and Hepatology (83 citations). Can Cai has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Hengwei Lin, 张凌, Junfeng Lu, Chunxiang Xu, Kai Jiang, Yu Chen, Jianping Gong, Peizhi Li, Kunlun He and Linda D. Bosserman. Their work appears in journals such as Nutrients, Oncotarget, Atherosclerosis, Nutrition & Metabolism and International Journal of Biological Macromolecules.
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.