Kan Cao
Impact in
- Aging top 2%
- Cell Biology top 1%
- Microtubule and mitosis dynamics
Papers in
-
- Nuclear Structure and Function 33
- RNA Research and Splicing 21
- DNA Repair Mechanisms 11
- Genomics and Chromatin Dynamics 9
- Mitochondrial Function and Pathology 6
- Ubiquitin and proteasome pathways 5
-
- Microtubule and mitosis dynamics 7
- Co-authors
- Francis S. Collins (12 shared papers)Michael R. Erdos (8 shared papers)Haoyue Zhang (10 shared papers)Yixian Zheng (3 shared papers)Zheng‐Mei Xiong (11 shared papers)Dimitri Krainc (2 shared papers)John J. Graziotto (2 shared papers)Karima Djabali (2 shared papers)
- Journals
- Scientific Reports (6 papers)Proceedings of the National Academy of Sciences (4 papers)Aging (4 papers)Aging Cell (4 papers)Nucleus (3 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Kan Cao
49 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 120
- Aging 157
- Cell Biology 752
- Molecular Biology 2.7k
- Physiology 312
- Oncology 317
Countries citing papers authored by Kan Cao
This map shows the geographic impact of Kan Cao'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 Kan Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Cao more than expected).
Fields of papers citing papers by Kan Cao
This network shows the impact of papers produced by Kan Cao. 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 Kan Cao. The network helps show where Kan Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan Cao, 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 | 2010 | 312 | |
| 2 | 2003 | 287 | |
| 3 | 2011 | 280 | |
| 4 | 2012 | 242 | |
| 5 | 2011 | 236 | |
| 6 | 2007 | 202 | |
| 7 | 2005 | 197 | |
| 8 | 2003 | 168 | |
| 9 | 2008 | 163 | |
| 10 | 2017 | 98 | |
| 11 | 2000 | 94 | |
| 12 | 2015 | 93 | |
| 13 | 2017 | 89 | |
| 14 | 2014 | 81 | |
| 15 | 2020 | 80 | |
| 16 | 2012 | 71 | |
| 17 | 2012 | 55 | |
| 18 | 2021 | 54 | |
| 19 | 2012 | 46 | |
| 20 | 2018 | 45 |
About Kan Cao
Kan Cao is a scholar working on Molecular Biology, Cell Biology, Oncology, Physiology and Pollution, having authored 51 papers that have together received 3.4k indexed citations. Recurring topics across this work include Nuclear Structure and Function (33 papers), RNA Research and Splicing (21 papers), DNA Repair Mechanisms (11 papers), Genomics and Chromatin Dynamics (9 papers), Microtubule and mitosis dynamics (7 papers), Mitochondrial Function and Pathology (6 papers), Ubiquitin and proteasome pathways (5 papers) and PARP inhibition in cancer therapy (4 papers). The work is most often cited by research in Aging (157 citations), Cell Biology (752 citations), Molecular Biology (2.7k citations), Physiology (312 citations) and Oncology (317 citations). Kan Cao has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Francis S. Collins, Michael R. Erdos, Haoyue Zhang, Yixian Zheng, Zheng‐Mei Xiong, Dimitri Krainc, John J. Graziotto, Karima Djabali, Elizabeth G. Nabel and Michelle Olive. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, Aging, Aging Cell and Nucleus.
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.