Yang Cao
Impact in
- Epidemiology top 1%
- Autophagy in Disease and Therapy
- Aging top 2%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 11
- Epidemiology 27
- Autophagy in Disease and Therapy 23
- Co-authors
- Daniel J. Klionsky (11 shared papers)Stephen M. Prescott (6 shared papers)Misuzu Baba (4 shared papers)Tomotake Kanki (1 shared paper)Ke Wang (1 shared paper)Thomas M. McIntyre (4 shared papers)Guy A. Zimmerman (4 shared papers)Ling Tian (11 shared papers)
- Journals
- Autophagy (8 papers)Scientific Reports (4 papers)Journal of Biological Chemistry (4 papers)Frontiers in Genetics (4 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Yang Cao
90 papers receiving 5.0k citations
Yang Cao's Hit Papers
Peers
Comparison fields: 5 of 129
- Epidemiology 1.9k
- Aging 104
- Cell Biology 697
- Cancer Research 587
- Physiology 183
Countries citing papers authored by Yang Cao
This map shows the geographic impact of Yang 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 Yang Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Cao more than expected).
Fields of papers citing papers by Yang Cao
This network shows the impact of papers produced by Yang 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 Yang Cao. The network helps show where Yang Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Atg32 Is a Mitochondrial Protein that Confers Selectivity during Mitophagy Hit paper breakdown → | 2009 | 657 |
| 2 | 2007 | 481 | |
| 3 | 2002 | 402 | |
| 4 | 2000 | 380 | |
| 5 | 2012 | 216 | |
| 6 | 2012 | 180 | |
| 7 | 2011 | 176 | |
| 8 | 2010 | 158 | |
| 9 | 2017 | 146 | |
| 10 | 2013 | 136 | |
| 11 | 2010 | 111 | |
| 12 | 1998 | 109 | |
| 13 | 2015 | 106 | |
| 14 | 2010 | 103 | |
| 15 | Fatty acid CoA ligase 4 is up-regulated in colon adenocarcinoma. | 2001 | 101 |
| 16 | 1998 | 96 | |
| 17 | 2008 | 92 | |
| 18 | 2016 | 85 | |
| 19 | 2019 | 78 | |
| 20 | 2010 | 77 |
About Yang Cao
Yang Cao is a scholar working on Molecular Biology, Epidemiology, Genetics, Cell Biology and Immunology, having authored 94 papers that have together received 5.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (23 papers), Peroxisome Proliferator-Activated Receptors (11 papers), Genetic and phenotypic traits in livestock (10 papers), Neurobiology and Insect Physiology Research (10 papers), Invertebrate Immune Response Mechanisms (9 papers), Cancer-related molecular mechanisms research (8 papers), Lipid metabolism and biosynthesis (8 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Epidemiology (1.9k citations), Aging (104 citations), Cell Biology (697 citations), Cancer Research (587 citations) and Physiology (183 citations). Yang Cao has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Daniel J. Klionsky, Stephen M. Prescott, Misuzu Baba, Tomotake Kanki, Ke Wang, Thomas M. McIntyre, Guy A. Zimmerman, Ling Tian, A. Terrece Pearman and Usha Nair. Their work appears in journals such as Autophagy, Scientific Reports, Journal of Biological Chemistry, Frontiers in Genetics and International Journal of Molecular Sciences.
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.