Can Cai
Impact in
- Cancer Research top 5%
- Molecular Biology top 10%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 8
-
- Lipid metabolism and biosynthesis 4
- Co-authors
- Yu Chen (3 shared papers)Jianping Gong (4 shared papers)Peizhi Li (3 shared papers)Kunlun He (3 shared papers)Patrice J. Viens (1 shared paper)Linda T. Vahdat (1 shared paper)Ronald Peck (1 shared paper)Edith A. Perez (1 shared paper)
- Journals
- Nutrients (3 papers)Atherosclerosis (2 papers)Structure (2 papers)Oncotarget (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Can Cai
40 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 272
- Molecular Biology 928
- Oncology 323
- Hepatology 68
- Epidemiology 264
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 | 2003 | 481 | |
| 2 | 2007 | 324 | |
| 3 | 2018 | 119 | |
| 4 | 2003 | 116 | |
| 5 | 2018 | 104 | |
| 6 | 2014 | 96 | |
| 7 | 2017 | 75 | |
| 8 | 2015 | 65 | |
| 9 | 2017 | 62 | |
| 10 | 2005 | 56 | |
| 11 | 2020 | 35 | |
| 12 | 2019 | 32 | |
| 13 | 2014 | 31 | |
| 14 | 2018 | 28 | |
| 15 | 2013 | 23 | |
| 16 | 2018 | 22 | |
| 17 | 2016 | 22 | |
| 18 | 2004 | 20 | |
| 19 | 2016 | 20 | |
| 20 | 2016 | 18 |
About Can Cai
Can Cai is a scholar working on Epidemiology, Biochemistry, Cancer Research, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Lipid metabolism and biosynthesis (4 papers), Machine Learning in Bioinformatics (4 papers), Diet, Metabolism, and Disease (4 papers), Protein Structure and Dynamics (3 papers), Inflammasome and immune disorders (3 papers), Birth, Development, and Health (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Cancer Research (272 citations), Molecular Biology (928 citations), Oncology (323 citations), Hepatology (68 citations) and Epidemiology (264 citations). Can Cai has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yu Chen, Jianping Gong, Peizhi Li, Kunlun He, Patrice J. Viens, Linda T. Vahdat, Ronald Peck, Edith A. Perez, Xavier B. Pivot and Lin Sun. Their work appears in journals such as Nutrients, Atherosclerosis, Structure, Oncotarget and Biochemical and Biophysical Research Communications.
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.